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The COVID-19 pandemic triggered significant mortality increases in 2020 of a magnitude not witnessed since World War II in Western Europe or the breakup of the Soviet Union in Eastern Europe.

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This study confirms previous findings on a low risk of SARS-CoV-2 reinfection. If confirmed, these findings suggest that more targeted restriction policies can be applied to the subjects that recovered after a first infection. Read highly cited papers on COVID-19 from the Journal of Public Health: https://academic.oup.com/jpubhealth/pages/covid-19

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The researchers examined support for and perceived impact of e-cigarette sales restrictions. Findings suggest that bans on flavored vape products could have a positive impact on lower-risk users, but that other young adult user subgroups may not experience benefit.

An editorial from the earlier stages of the pandemic highlights the importance of properly fitted respirators for worker safety and outlines occupational hygiene measures.

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• Research article
• Open access
• Published: 16 November 2020

Exercise/physical activity and health outcomes: an overview of Cochrane systematic reviews

• Pawel Posadzki 1 , 2 ,
• Dawid Pieper   ORCID: orcid.org/0000-0002-0715-5182 3 ,
• Ram Bajpai 4 ,
• Hubert Makaruk 5 ,
• Nadja Könsgen 3 ,
• Annika Lena Neuhaus 3 &
• Monika Semwal 6  

BMC Public Health volume  20 , Article number:  1724 ( 2020 ) Cite this article

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Sedentary lifestyle is a major risk factor for noncommunicable diseases such as cardiovascular diseases, cancer and diabetes. It has been estimated that approximately 3.2 million deaths each year are attributable to insufficient levels of physical activity. We evaluated the available evidence from Cochrane systematic reviews (CSRs) on the effectiveness of exercise/physical activity for various health outcomes.

Overview and meta-analysis. The Cochrane Library was searched from 01.01.2000 to issue 1, 2019. No language restrictions were imposed. Only CSRs of randomised controlled trials (RCTs) were included. Both healthy individuals, those at risk of a disease, and medically compromised patients of any age and gender were eligible. We evaluated any type of exercise or physical activity interventions; against any types of controls; and measuring any type of health-related outcome measures. The AMSTAR-2 tool for assessing the methodological quality of the included studies was utilised.

Hundred and fifty CSRs met the inclusion criteria. There were 54 different conditions. Majority of CSRs were of high methodological quality. Hundred and thirty CSRs employed meta-analytic techniques and 20 did not. Limitations for studies were the most common reasons for downgrading the quality of the evidence. Based on 10 CSRs and 187 RCTs with 27,671 participants, there was a 13% reduction in mortality rates risk ratio (RR) 0.87 [95% confidence intervals (CI) 0.78 to 0.96]; I 2  = 26.6%, [prediction interval (PI) 0.70, 1.07], median effect size (MES) = 0.93 [interquartile range (IQR) 0.81, 1.00]. Data from 15 CSRs and 408 RCTs with 32,984 participants showed a small improvement in quality of life (QOL) standardised mean difference (SMD) 0.18 [95% CI 0.08, 0.28]; I 2  = 74.3%; PI -0.18, 0.53], MES = 0.20 [IQR 0.07, 0.39]. Subgroup analyses by the type of condition showed that the magnitude of effect size was the largest among patients with mental health conditions.

There is a plethora of CSRs evaluating the effectiveness of physical activity/exercise. The evidence suggests that physical activity/exercise reduces mortality rates and improves QOL with minimal or no safety concerns.

Trial registration

Registered in PROSPERO ( CRD42019120295 ) on 10th January 2019.

Peer Review reports

The World Health Organization (WHO) defines physical activity “as any bodily movement produced by skeletal muscles that requires energy expenditure” [ 1 ]. Therefore, physical activity is not only limited to sports but also includes walking, running, swimming, gymnastics, dance, ball games, and martial arts, for example. In the last years, several organizations have published or updated their guidelines on physical activity. For example, the Physical Activity Guidelines for Americans, 2nd edition, provides information and guidance on the types and amounts of physical activity that provide substantial health benefits [ 2 ]. The evidence about the health benefits of regular physical activity is well established and so are the risks of sedentary behaviour [ 2 ]. Exercise is dose dependent, meaning that people who achieve cumulative levels several times higher than the current recommended minimum level have a significant reduction in the risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events [ 3 ]. Benefits of physical activity have been reported for numerous outcomes such as mortality [ 4 , 5 ], cognitive and physical decline [ 5 , 6 , 7 ], glycaemic control [ 8 , 9 ], pain and disability [ 10 , 11 ], muscle and bone strength [ 12 ], depressive symptoms [ 13 ], and functional mobility and well-being [ 14 , 15 ]. Overall benefits of exercise apply to all bodily systems including immunological [ 16 ], musculoskeletal [ 17 ], respiratory [ 18 ], and hormonal [ 19 ]. Specifically for the cardiovascular system, exercise increases fatty acid oxidation, cardiac output, vascular smooth muscle relaxation, endothelial nitric oxide synthase expression and nitric oxide availability, improves plasma lipid profiles [ 15 ] while at the same time reducing resting heart rate and blood pressure, aortic valve calcification, and vascular resistance [ 20 ].

However, the degree of all the above-highlighted benefits vary considerably depending on individual fitness levels, types of populations, age groups and the intensity of different physical activities/exercises [ 21 ]. The majority of guidelines in different countries recommend a goal of 150 min/week of moderate-intensity aerobic physical activity (or equivalent of 75 min of vigorous-intensity) [ 22 ] with differences for cardiovascular disease [ 23 ] or obesity prevention [ 24 ] or age groups [ 25 ].

There is a plethora of systematic reviews published by the Cochrane Library critically evaluating the effectiveness of physical activity/exercise for various health outcomes. Cochrane systematic reviews (CSRs) are known to be a source of high-quality evidence. Thus, it is not only timely but relevant to evaluate the current knowledge, and determine the quality of the evidence-base, and the magnitude of the effect sizes given the negative lifestyle changes and rising physical inactivity-related burden of diseases. This overview will identify the breadth and scope to which CSRs have appraised the evidence for exercise on health outcomes; and this will help in directing future guidelines and identifying current gaps in the literature.

The objectives of this research were to a. answer the following research questions: in children, adolescents and adults (both healthy and medically compromised) what are the effects (and adverse effects) of exercise/physical activity in improving various health outcomes (e.g., pain, function, quality of life) reported in CSRs; b. estimate the magnitude of the effects by pooling the results quantitatively; c. evaluate the strength and quality of the existing evidence; and d. create recommendations for future researchers, patients, and clinicians.

Our overview was registered with PROSPERO (CRD42019120295) on 10th January 2019. The Cochrane Handbook for Systematic Reviews of interventions and Preferred Reporting Items for Overviews of Reviews were adhered to while writing and reporting this overview [ 26 , 27 ].

Search strategy and selection criteria

We followed the practical guidance for conducting overviews of reviews of health care interventions [ 28 ] and searched the Cochrane Database of Systematic Reviews (CDSR), 2019, Issue 1, on the Cochrane Library for relevant papers using the search strategy: (health) and (exercise or activity or physical). The decision to seek CSRs only was based on three main aspects. First, high quality (CSRs are considered to be the ‘gold methodological standard’) [ 29 , 30 , 31 ]. Second, data saturation (enough high-quality evidence to reach meaningful conclusions based on CSRs only). Third, including non-CSRs would have heavily increased the issue of overlapping reviews (also affecting data robustness and credibility of conclusions). One reviewer carried out the searches. The study screening and selection process were performed independently by two reviewers. We imported all identified references into reference manager software EndNote (X8). Any disagreements were resolved by discussion between the authors with third overview author acting as an arbiter, if necessary.

We included CSRs of randomised controlled trials (RCTs) involving both healthy individuals and medically compromised patients of any age and gender. Only CSRs assessing exercise or physical activity as a stand-alone intervention were included. This included interventions that could initially be taught by a professional or involve ongoing supervision (the WHO definition). Complex interventions e.g., assessing both exercise/physical activity and behavioural changes were excluded if the health effects of the interventions could not have been attributed to exercise distinctly.

Any types of controls were admissible. Reviews evaluating any type of health-related outcome measures were deemed eligible. However, we excluded protocols or/and CSRs that have been withdrawn from the Cochrane Library as well as reviews with no included studies.

Data analysis

Three authors (HM, ALN, NK) independently extracted relevant information from all the included studies using a custom-made data collection form. The methodological quality of SRs included was independently evaluated by same reviewers using the AMSTAR-2 tool [ 32 ]. Any disagreements on data extraction or CSR quality were resolved by discussion. The entire dataset was validated by three authors (PP, MS, DP) and any discrepant opinions were settled through discussions.

The results of CSRs are presented in a narrative fashion using descriptive tables. Where feasible, we presented outcome measures across CSRs. Data from the subset of homogeneous outcomes were pooled quantitatively using the approach previously described by Bellou et al. and Posadzki et al. [ 33 , 34 ]. For mortality and quality of life (QOL) outcomes, the number of participants and RCTs involved in the meta-analysis, summary effect sizes [with 95% confidence intervals (CI)] using random-effects model were calculated. For binary outcomes, we considered relative risks (RRs) as surrogate measures of the corresponding odds ratio (OR) or risk ratio/hazard ratio (HR). To stabilise the variance and normalise the distributions, we transformed RRs into their natural logarithms before pooling the data (a variation was allowed, however, it did not change interpretation of results) [ 35 ]. The standard error (SE) of the natural logarithm of RR was derived from the corresponding CIs, which was either provided in the study or calculated with standard formulas [ 36 ]. Binary outcomes reported as risk difference (RD) were also meta-analysed if two more estimates were available. For continuous outcomes, we only meta-analysed estimates that were available as standardised mean difference (SMD), and estimates reported with mean differences (MD) for QOL were presented separately in a supplementary Table  9 . To estimate the overall effect size, each study was weighted by the reciprocal of its variance. Random-effects meta-analysis, using DerSimonian and Laird method [ 37 ] was applied to individual CSR estimates to obtain a pooled summary estimate for RR or SMD. The 95% prediction interval (PI) was also calculated (where ≥3 studies were available), which further accounts for between-study heterogeneity and estimates the uncertainty around the effect that would be anticipated in a new study evaluating that same association. I -squared statistic was used to measure between study heterogeneity; and its various thresholds (small, substantial and considerable) were interpreted considering the size and direction of effects and the p -value from Cochran’s Q test ( p  < 0.1 considered as significance) [ 38 ]. Wherever possible, we calculated the median effect size (with interquartile range [IQR]) of each CSR to interpret the direction and magnitude of the effect size. Sub-group analyses are planned for type and intensity of the intervention; age group; gender; type and/or severity of the condition, risk of bias in RCTs, and the overall quality of the evidence (Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria). To assess overlap we calculated the corrected covered area (CCA) [ 39 ]. All statistical analyses were conducted on Stata statistical software version 15.2 (StataCorp LLC, College Station, Texas, USA).

The searches generated 280 potentially relevant CRSs. After removing of duplicates and screening, a total of 150 CSRs met our eligibility criteria [ 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 , 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 , 168 , 169 , 170 , 171 , 172 , 173 , 174 , 175 , 176 , 177 , 178 , 179 , 180 , 181 , 182 , 183 , 184 , 185 , 186 , 187 , 188 , 189 ] (Fig.  1 ). Reviews were published between September 2002 and December 2018. A total of 130 CSRs employed meta-analytic techniques and 20 did not. The total number of RCTs in the CSRs amounted to 2888; with 485,110 participants (mean = 3234, SD = 13,272). The age ranged from 3 to 87 and gender distribution was inestimable. The main characteristics of included reviews are summarised in supplementary Table  1 . Supplementary Table  2 summarises the effects of physical activity/exercise on health outcomes. Conclusions from CSRs are listed in supplementary Table  3 . Adverse effects are listed in supplementary Table  4 . Supplementary Table  5 presents summary of withdrawals/non-adherence. The methodological quality of CSRs is presented in supplementary Table  6 . Supplementary Table  7 summarises studies assessed at low risk of bias (by the authors of CSRs). GRADE-ings of the review’s main comparison are listed in supplementary Table  8 .

Study selection process

There were 54 separate populations/conditions, considerable range of interventions and comparators, co-interventions, and outcome measures. For detailed description of interventions, please refer to the supplementary tables . Most commonly measured outcomes were - function 112 (75%), QOL 83 (55%), AEs 70 (47%), pain 41 (27%), mortality 28 (19%), strength 30 (20%), costs 47 (31%), disability 14 (9%), and mental health in 35 (23%) CSRs.

There was a 13% reduction in mortality rates risk ratio (RR) 0.87 [95% CI 0.78 to 0.96]; I 2  = 26.6%, [PI 0.70, 1.07], median effect size (MES) = 0.93 [interquartile range (IQR) 0.81, 1.00]; 10 CSRs, 187 RCTs, 27,671 participants) following exercise when compared with various controls (Table 1 ). This reduction was smaller in ‘other groups’ of patients when compared to cardiovascular diseases (CVD) patients - RR 0.97 [95% CI 0.65, 1.45] versus 0.85 [0.76, 0.96] respectively. The effects of exercise were not intensity or frequency dependent. Sessions more than 3 times per week exerted a smaller reduction in mortality as compared with sessions of less than 3 times per week RR 0.87 [95% CI 0.78, 0.98] versus 0.63 [0.39, 1.00]. Subgroup analyses by risk of bias (ROB) in RCTs showed that RCTs at low ROB exerted smaller reductions in mortality when compared to RCTs at an unclear or high ROB, RR 0.90 [95% CI 0.78, 1.02] versus 0.72 [0.42, 1.22] versus 0.86 [0.69, 1.06] respectively. CSRs with moderate quality of evidence (GRADE), showed slightly smaller reductions in mortality when compared with CSRs that relied on very low to low quality evidence RR 0.88 [95% CI 0.79, 0.98] versus 0.70 [0.47, 1.04].

Exercise also showed an improvement in QOL, standardised mean difference (SMD) 0.18 [95% CI 0.08, 0.28]; I 2  = 74.3%; PI -0.18, 0.53], MES = 0.20 [IQR 0.07, 0.39]; 15 CSRs, 408 RCTs, 32,984 participants) when compared with various controls (Table 2 ). These improvements were greater observed for health related QOL when compared to overall QOL SMD 0.30 [95% CI 0.21, 0.39] vs 0.06 [− 0.08, 0.20] respectively. Again, the effects of exercise were duration and frequency dependent. For instance, sessions of more than 90 mins exerted a greater improvement in QOL as compared with sessions up to 90 min SMD 0.24 [95% CI 0.11, 0.37] versus 0.22 [− 0.30, 0.74]. Subgroup analyses by the type of condition showed that the magnitude of effect was the largest among patients with mental health conditions, followed by CVD and cancer. Physical activity exerted negative effects on QOL in patients with respiratory conditions (2 CSRs, 20 RCTs with 601 patients; SMD -0.97 [95% CI -1.43, 0.57]; I 2  = 87.8%; MES = -0.46 [IQR-0.97, 0.05]). Subgroup analyses by risk of bias (ROB) in RCTs showed that RCTs at low or unclear ROB exerted greater improvements in QOL when compared to RCTs at a high ROB SMD 0.21 [95% CI 0.10, 0.31] versus 0.17 [0.03, 0.31]. Analogically, CSRs with moderate to high quality of evidence showed slightly greater improvements in QOL when compared with CSRs that relied on very low to low quality evidence SMD 0.19 [95% CI 0.05, 0.33] versus 0.15 [− 0.02, 0.32]. Please also see supplementary Table  9 more studies reporting QOL outcomes as mean difference (not quantitatively synthesised herein).

Adverse events (AEs) were reported in 100 (66.6%) CSRs; and not reported in 50 (33.3%). The number of AEs ranged from 0 to 84 in the CSRs. The number was inestimable in 83 (55.3%) CSRs. Ten (6.6%) reported no occurrence of AEs. Mild AEs were reported in 28 (18.6%) CSRs, moderate in 9 (6%) and serious/severe in 20 (13.3%). There were 10 deaths and in majority of instances, the causality was not attributed to exercise. For this outcome, we were unable to pool the data as effect sizes were too heterogeneous (Table 3 ).

In 38 CSRs, the total number of trials reporting withdrawals/non-adherence was inestimable. There were different ways of reporting it such as adherence or attrition (high in 23.3% of CSRs) as well as various effect estimates including %, range, total numbers, MD, RD, RR, OR, mean and SD. The overall pooled estimates are reported in Table 3 .

Of all 16 domains of the AMSTAR-2 tool, 1876 (78.1%) scored ‘yes’, 76 (3.1%) ‘partial yes’; 375 (15.6%) ‘no’, and ‘not applicable’ in 25 (1%) CSRs. Ninety-six CSRs (64%) were scored as ‘no’ on reporting sources of funding for the studies followed by 88 (58.6%) failing to explain the selection of study designs for inclusion. One CSR (0.6%) each were judged as ‘no’ for reporting any potential sources of conflict of interest, including any funding for conducting the review as well for performing study selection in duplicate.

In 102 (68%) CSRs, there was predominantly a high risk of bias in RCTs. In 9 (6%) studies, this was reported as a range, e.g., low or unclear or low to high. Two CSRs used different terminology i.e., moderate methodological quality; and the risk of bias was inestimable in one CSR. Sixteen (10.6%) CSRs did not identify any studies (RCTs) at low risk of random sequence generation, 28 (18.6%) allocation concealment, 28 (18.6%) performance bias, 84 (54%) detection bias, 35 (23.3%) attrition bias, 18 (12%) reporting bias, and 29 (19.3%) other bias.

In 114 (76%) CSRs, limitation of studies was the main reason for downgrading the quality of the evidence followed by imprecision in 98 (65.3%) and inconsistency in 68 (45.3%). Publication bias was the least frequent reason for downgrading in 26 (17.3%) CSRs. Ninety-one (60.7%) CSRs reached equivocal conclusions, 49 (32.7%) reviews reached positive conclusions and 10 (6.7%) reached negative conclusions (as judged by the authors of CSRs).

In this systematic review of CSRs, we found a large body of evidence on the beneficial effects of physical activity/exercise on health outcomes in a wide range of heterogeneous populations. Our data shows a 13% reduction in mortality rates among 27,671 participants, and a small improvement in QOL and health-related QOL following various modes of physical activity/exercises. This means that both healthy individuals and medically compromised patients can significantly improve function, physical and mental health; or reduce pain and disability by exercising more [ 190 ]. In line with previous findings [ 191 , 192 , 193 , 194 ], where a dose-specific reduction in mortality has been found, our data shows a greater reduction in mortality in studies with longer follow-up (> 12 months) as compared to those with shorter follow-up (< 12 months). Interestingly, we found a consistent pattern in the findings, the higher the quality of evidence and the lower the risk of bias in primary studies, the smaller reductions in mortality. This pattern is observational in nature and cannot be over-generalised; however this might mean less certainty in the estimates measured. Furthermore, we found that the magnitude of the effect size was the largest among patients with mental health conditions. A possible mechanism of action may involve elevated levels of brain-derived neurotrophic factor or beta-endorphins [ 195 ].

We found the issue of poor reporting or underreporting of adherence/withdrawals in over a quarter of CSRs (25.3%). This is crucial both for improving the accuracy of the estimates at the RCT level as well as maintaining high levels of physical activity and associated health benefits at the population level.

Even the most promising interventions are not entirely risk-free; and some minor AEs such as post-exercise pain and soreness or discomfort related to physical activity/exercise have been reported. These were typically transient; resolved within a few days; and comparable between exercise and various control groups. However worryingly, the issue of poor reporting or underreporting of AEs has been observed in one third of the CSRs. Transparent reporting of AEs is crucial for identifying patients at risk and mitigating any potential negative or unintended consequences of the interventions.

High risk of bias of the RCTs evaluated was evident in more than two thirds of the CSRs. For example, more than half of reviews identified high risk of detection bias as a major source of bias suggesting that lack of blinding is still an issue in trials of behavioural interventions. Other shortcomings included insufficiently described randomisation and allocation concealment methods and often poor outcome reporting. This highlights the methodological challenges in RCTs of exercise and the need to counterbalance those with the underlying aim of strengthening internal and external validity of these trials.

Overall, high risk of bias in the primary trials was the main reason for downgrading the quality of the evidence using the GRADE criteria. Imprecision was frequently an issue, meaning the effective sample size was often small; studies were underpowered to detect the between-group differences. Pooling too heterogeneous results often resulted in inconsistent findings and inability to draw any meaningful conclusions. Indirectness and publication bias were lesser common reasons for downgrading. However, with regards to the latter, the generally accepted minimum number of 10 studies needed for quantitatively estimate the funnel plot asymmetry was not present in 69 (46%) CSRs.

Strengths of this research are the inclusion of large number of ‘gold standard’ systematic reviews, robust screening, data extractions and critical methodological appraisal. Nevertheless, some weaknesses need to be highlighted when interpreting findings of this overview. For instance, some of these CSRs analysed the same primary studies (RCTs) but, arrived at slightly different conclusions. Using, the Pieper et al. [ 39 ] formula, the amount of overlap ranged from 0.01% for AEs to 0.2% for adherence, which indicates slight overlap. All CSRs are vulnerable to publication bias [ 196 ] - hence the conclusions generated by them may be false-positive. Also, exercise was sometimes part of a complex intervention; and the effects of physical activity could not be distinguished from co-interventions. Often there were confounding effects of diet, educational, behavioural or lifestyle interventions; selection, and measurement bias were inevitably inherited in this overview too. Also, including CSRs only might lead to selection bias; and excluding reviews published before 2000 might limit the overall completeness and applicability of the evidence. A future update should consider these limitations, and in particular also including non-CSRs.

Conclusions

Trialists must improve the quality of primary studies. At the same time, strict compliance with the reporting standards should be enforced. Authors of CSRs should better explain eligibility criteria and report sources of funding for the primary studies. There are still insufficient physical activity trends worldwide amongst all age groups; and scalable interventions aimed at increasing physical activity levels should be prioritized [ 197 ]. Hence, policymakers and practitioners need to design and implement comprehensive and coordinated strategies aimed at targeting physical activity programs/interventions, health promotion and disease prevention campaigns at local, regional, national, and international levels [ 198 ].

Availability of data and materials

Data sharing is not applicable to this article as no raw data were analysed during the current study. All information in this article is based on published systematic reviews.

Abbreviations

Adverse events

Cardiovascular diseases

Cochrane Database of Systematic Reviews

Cochrane systematic reviews

Confidence interval

Grading of Recommendations Assessment, Development and Evaluation

Hazard ratio

Interquartile range

Mean difference

Prediction interval

Quality of life

Randomised controlled trials

Relative risk

Risk difference

Risk of bias

Standard error

Standardised mean difference

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Pawel Posadzki

Nanyang Technological University, Singapore, Singapore

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PP wrote the protocol, ran the searches, validated, analysed and synthesised data, wrote and revised the drafts. HM, NK and ALN screened and extracted data. MS and DP validated and analysed the data. RB ran statistical analyses. All authors contributed to writing and reviewing the manuscript. PP is the guarantor. The authors read and approved the final manuscript.

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Supplementary Information

Additional file 1:.

Supplementary Table 1. Main characteristics of included Cochrane systematic reviews evaluating the effects of physical activity/exercise on health outcomes ( n  = 150). Supplementary Table 2. Additional information from Cochrane systematic reviews of the effects of physical activity/exercise on health outcomes ( n  = 150). Supplementary Table 3. Conclusions from Cochrane systematic reviews “quote”. Supplementary Table 4 . AEs reported in Cochrane systematic reviews. Supplementary Table 5. Summary of withdrawals/non-adherence. Supplementary Table 6. Methodological quality assessment of the included Cochrane reviews with AMSTAR-2. Supplementary Table 7. Number of studies assessed as low risk of bias per domain. Supplementary Table 8. GRADE for the review’s main comparison. Supplementary Table 9. Studies reporting quality of life outcomes as mean difference.

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Posadzki, P., Pieper, D., Bajpai, R. et al. Exercise/physical activity and health outcomes: an overview of Cochrane systematic reviews. BMC Public Health 20 , 1724 (2020). https://doi.org/10.1186/s12889-020-09855-3

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by Jeff Dean

Google Keyword Blog | 2-Nov-2022

Google Keyword Blog | 27-Oct-2022

by Riva Sciuto

Google Keyword Blog | 19-Oct-2022

Google Keyword Blog | 12-Sep-2022

by Lauren Winer

Google Keyword Blog | 25-Aug-2022

by Anne Merritt

Google Keyword Blog | 20-Jul-2022

Google Keyword Blog | 17-May-2022

by Megan Jones Bell & Garth Graham

Google Keyword Blog | 10-May-2022

Google Keyword Blog | 24-Mar-2022

by Greg Corrado

Google Research Blog | 24-Mar-2022

by Paul Muret

Google Keyword Blog | 15-Mar-2022

Google Keyword Blog | 8-Mar-2022

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Google Keyword Blog | 2-Dec-2021

Google Keyword Blog | 17-Oct-2021

by Alicia Cormie

Google Keyword Blog | 6-May-2021

Google Keyword Blog | 16-Apr-2021

Google Keyword Blog | 23- Feb-2021

Google Research Blog | 12-Jan-2021

by David Feinberg

LinkedIn Blog | 8-Dec-2020

by Dave Greenwood

Google Keyword Blog | 2-Dec-2020

by Anna Lurchenko

Google Design Blog | 29-Jul-2020

by Daniel Gillison, Jr

Google Keyword Blog | 28-May-2020

Google Research Blog | 9-Jan-2020

by Yun Liu & Po-Hsuan Cameron Chen

Google Research Blog | 10-Dec-2019

Google Keyword Blog | 20-Nov-2019

by Ruth Porat

Google Keyword Blog | 21-Oct-2019

by Dominic King

Google Keyword Blog | 18-Sep-2019

Google Research Blog | 15-Jan-2019

Google Keyword Blog | 17-Jun-2019

by Kent Walter

Google Keyword Blog | 13-Dec-2018

Google Research Blog | 12-Jan-2018

by Paula Schnurr & Teri Brister

Google Keyword Blog | 5-Dec-2017

by Mary Giliberti

Google Keyword Blog | 23-Aug-2017

by Katherine Chou

Google Research Blog | 17-May-2017

Google Research Blog | 12-Jan-2017

COVID-19 Blog Posts

Google Keyword Blog | 16-Jun-2022

COVID-19 Blog Posts [more at Google Keyword Blog ]

by Lauren Gallagher

Google Keyword Blog | 11-Feb-2022

Google Keyword Blog | 8-Dec-2021

by Tomer Shekel

Google Keyword Blog | 9-Jun-2021

by the COVID Response team, Google India

Google India Blog | 10-May-2021

Google Keyword Blog | 15-Apr-2021 [Spanish version]

by Stephen Ratcliffe

Google Keyword Blog | 24-Feb-2021

by Sundar Pichai

Google Keyword Blog | 25-Jan-2021

by Steph Hannon

Google Keyword Blog | 11-Dec-2020

by Karen DeSalvo & Kristie Canegallo

Google Keyword Blog | 10-Dec-2020

Google Keyword Blog | 24-Nov-2020 [Spanish version]

Google Keyword Blog

10-Nov-2020

Google Keyword Blog | 27-Oct-2020

Google Keyword Blog | 17-Sept-2020

by Mollie Javerbaum & Meghan Houghton

Google Keyword Blog | 10-Sep-2020

by Evgeniy Gabrilovich

Google Keyword Blog | 2-Sep-2020

by Dave Burke

Google Keyword Blog | 31-Jul-2020

by Apple & Google

Google Keyword Blog | 20-May-2020

by Megan Washam

Google Keyword Blog | 13-May-2020

Google Keyword Blog | 8-May-2020

Google Africa Blog

Google Africa Blog | 23-Apr-2020

Google Keyword Blog | 10-Apr-2020

by Julie Black

Google Keyword Blog | 6-Apr-2020

by Jen Fitzpatrick & Karen DeSalvo

Google Keyword Blog | 3-Apr-2020

by Emily Moxley

Google Keyword Blog | 21-Mar-2020

Google Keyword Blog | 15-Mar-2020

Google Keyword Blog | 6-Mar-2020

Lawrence, H. R., Schneider, R. A., Rubin, S. B., Mataric, M. J., McDuff, D. J. & Bell, M. J.

arXiv [cs.CL] (2024).

Graham, G., Goren, N., Sounderajah, V. & DeSalvo, K.

Nat. Med. (2024). [readcube]

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The Lancet Digital Health 6, e126–e130 (2024).

Howell M., Corrado G., DeSalvo K.

JAMA. 331(3):242–244 (2024).

Lehmann, L. S., Natarajan, V. & Peng, L. Chapter 39

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Serghiou, S. & Rough, K.

Am. J. Epidemiol. (2023).

DeSalvo Karen B. & Howell Michael D.

NEJM Catalyst non-issue commentary (2023).

DeSalvo, K. B., Kadakia, K. T. & Chokshi, D. A.

JAMA Health Forum 2, e214051–e214051 (2021).

Kadakia, K. T., Howell, M. D. & DeSalvo, K. B.

JAMA 326, 385–386 (2021).

DeSalvo, K. B. & Kadakia, K. T.

Am. J. Public Health 111, S179–S181 (2021).

Sounderajah, V., Ashrafian, H., Rose, S., Shah, N. H., Ghassemi, M., Golub, R., Kahn, C. E., Jr, Esteva, A., Karthikesalingam, A., Mateen, B., Webster, D., Milea, D., Ting, D., Treanor, D., Cushnan, D., King, D., McPherson, D., Glocker, B., Greaves, F., Harling, L., Ordish, J., Cohen, J. F., Deeks, J., Leeflang, M., Diamond, M., McInnes, M. D. F., McCradden, M., Abràmoff, M. D., Normahani, P., Markar, S. R., Chang, S., Liu, X., Mallett, S., Shetty, S., Denniston, A., Collins, G. S., Moher, D., Whiting, P., Bossuyt, P. M. & Darzi, A.

Nat. Med. (2021).

Chen, P.-H. C., Mermel, C. H. & Liu, Y.

The Lancet Digital Health (2021). doi:10.1016/S2589-7500(21)00216-8

Kelly, C. J., Brown, A. P. Y. & Taylor, J. A.

(eds. Lidströmer, N. & Ashrafian, H.) 1–18 (Springer International Publishing, 2021).

Poplin, R., Zook, J. M. & DePristo, M.

JAMA 326, 268–269 (2021).

Mitani, A., Hammel, N. & Liu, Y.

Nature Biomedical Engineering 1–3 (2021). [readcube]

Esteva, A., Chou, K., Yeung, S., Naik, N., Madani, A., Mottaghi, A., Liu, Y., Topol, E., Dean, J. & Socher, R.

npj Digital Medicine 4, 5 (2021).

Steiner, D. F., Chen, P.-H. C. & Mermel, C. H.

Biochim. Biophys. Acta Rev. Cancer 1875, 188452 (2021).

Liu, Y., Yang, L., Phene, S. & Peng, L.

Artificial Intelligence in Medicine 247–264 (2021).

Warnert, E. A. H., Kasper, L., Meltzer, C. C., Lightfoote, J. B., Bucknor, M. D., Haroon, H., Duggan, G., Gowland, P., Wald, L., Miller, K. L., Morris, E. A. & Anazodo, U. C.

J. Magn. Reson. Imaging (2020). doi:10.1002/jmri.27476 [readcube]

Rakha, E. A., Toss, M., Shiino, S., Gamble, P., Jaroensri, R., Mermel, C. H. & Chen, P.-H. C.

J. Clin. Pathol. (2020). doi:10.1136/jclinpath-2020-206908

Sayres, R., Hammel, N. & Liu, Y.

Annals of Eye Science 5, 18–18 (2020).

Ibrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C. & Rakha, E. A.

Breast 49, 267–273 (2020).

Liu, Y., Chen, P.-H. C., Krause, J. & Peng, L.

JAMA 322, 1806–1816 (2019). [readcube]

Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D.

BMC Med. 17, 195 (2019).

Rajkomar, A., Hardt, M., Howell, M. D., Corrado, G., & Chin, M. H.

Ann. Intern. Med. 169(12):866-872 (2018).

Curiel-Lewandrowski, C., Novoa, R. A., Berry, E., Celebi, M. E., Codella, N., Giuste, F., Gutman, D., Halpern, A., Leachman, S., Liu, Y., Liu, Y., Reiter, O. & Tschandl, P.

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Chen, C. P.-H., Liu, Y., & Peng, L.

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Rajkomar, A., Dean, J., & Kohane I.

N. Engl. J. Med. 380:1347-1358 (2019).

Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S. & Dean, J.

Nat. Med. 25, 24–29 (2019). [readcube]

Rough K, Thompson J.

Ophthalmology. 125(8):1136-1138 (2018).

Wachter, R. M., Howell, M. D.

JAMA 320(1):25-26 (2018).

Cross-Specialty Applied AI

by Krishnamurthy (Dj) Dvijotham & Taylan Cemgil

Google Deepmind | 17-Jul-2023

by Shekoofeh Azizi & Laura Culp

Google Research Blog | 26-Apr-2023

by Alex D’Amour & Katherine Heller

Google Research Blog | 18-Oct-2021

by Shekoofeh Azizi

Google Research Blog | 13-Oct-2021

Publications

Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., Farahani, K., Ferrer, L., Galdran, A., van Ginneken, B., Glocker, B., Godau, P., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Meijering, E., Menze, B., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S. M., Rajpoot, N., Reyes, M., Riegler, M. A., Rieke, N., Saez-Rodriguez, J., Sánchez, C. I., Shetty, S., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Van Calster, B., Varoquaux, G., Yaniv, Z. R., Jäger, P. F. & Maier-Hein, L.

Nat. Methods 21, 182–194 (2024). [readcube]

Brown, A., Tomasev, N., Freyberg, J., Liu, Y., Karthikesalingam, A. & Schrouff, J.

Nat. Commun. 14, 4314 (2023).

Dvijotham, K., Winkens, J., Barsbey, M., Ghaisas, S., Stanforth, R., Pawlowski, N., Strachan, P., Ahmed, Z., Azizi, S., Bachrach, Y., Culp, L., Daswani, M., Freyberg, J., Kelly, C., Kiraly, A., Kohlberger, T., McKinney, S., Mustafa, B., Natarajan, V., Geras, K., Witowski, J., Qin, Z. Z., Creswell, J., Shetty, S., Sieniek, M., Spitz, T., Corrado, G., Kohli, P., Cemgil, T. & Karthikesalingam, A.

Nat. Med. 1–7 (2023).

Azizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., Mahdavi, S. S., Wulczyn, E., Babenko, B., Walker, M., Loh, A., Chen, P.-H. C., Liu, Y., Bavishi, P., McKinney, S. M., Winkens, J., Roy, A. G., Beaver, Z., Ryan, F., Krogue, J., Etemadi, M., Telang, U., Liu, Y., Peng, L., Corrado, G. S., Webster, D. R., Fleet, D., Hinton, G., Houlsby, N., Karthikesalingam, A., Norouzi, M. & Natarajan, V.

Nature Biomedical Engineering 1–24 (2023). [readcube]

Schrouff, J., Harris, N., Koyejo, O. O., Alabdulmohsin, I., Schnider, E., Opsahl-Ong, K., Brown, A., Roy, S., Mincu, D., Chen, C., Dieng, A., Liu, Y., Natarajan, V., Karthikesalingam, A., Heller, K. A., Chiappa, S. & D’Amour, A.

NeurIPS (2022).

McKinney, S. M.

medRxiv (2022).

Freeman, B., Hammel, N., Phene, S., Huang, A., Ackermann, R., Kanzheleva, O., Hutson, M., Taggart, C., Duong, Q. & Sayres, R.

HCOMP 9, 60–71 (2021).

Azizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 3478–3488 (2021).

Sadilek, A., Liu, L., Nguyen, D., Kamruzzaman, M., Serghiou, S., Rader, B., Ingerman, A., Mellem, S., Kairouz, P., Nsoesie, E. O., MacFarlane, J., Vullikanti, A., Marathe, M., Eastham, P., Brownstein, J. S., Arcas, B. A. Y., Howell, M. D. & Hernandez, J.

NPJ Digit Med 4, 132 (2021).

Mustafa, B., Loh, A., Freyberg, J., MacWilliams, P., Karthikesalingam, A., Houlsby, N. & Natarajan, V.

arXiv [cs.CV] (2021).

arXiv [eess.IV] (2021).

D’Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., Hormozdiari, F., Houlsby, N., Hou, S., Jerfel, G., Karthikesalingam, A., Lucic, M., Ma, Y., McLean, C., Mincu, D., Mitani, A., Montanari, A., Nado, Z., Natarajan, V., Nielson, C., Osborne, T. F., Raman, R., Ramasamy, K., Sayres, R., Schrouff, J., Seneviratne, M., Sequeira, S., Suresh, H., Veitch, V., Vladymyrov, M., Wang, X., Webster, K., Yadlowsky, S., Yun, T., Zhai, X. & Sculley, D.

arXiv [cs.LG] (2020).

Winkens, J., Bunel, R., Roy, A. G., Stanforth, R., Natarajan, V., Ledsam, J. R., MacWilliams, P., Kohli, P., Karthikesalingam, A., Kohl, S., Cemgil, T., Ali Eslami, S. M. & Ronneberger, O.

Hartman, T., Howell, M., Dean, J., Hoory, S., Slyper, R., Laish, I., Gilon, O, Vainstein, D., Corrado, G., Chou, K., Po, M., Williams, J., Ellis, S., Bee, G., Hassidim, A., Amira, R., Beryozkin, G., Szpektor, I., & Matias, Y.

BMC (2020).

Dermatology

by Pooja Rao

Google Research Blog | 19-Mar-2024

by Mike Schaekermann & Ivor Horn

Google Research Blog | 15-Mar-2024

by Dave Steiner & Rory Pilgrim

Google Research Blog | 8-Mar-2024

by Lou Wang

Google Keyword Blog | 14-Jun-2023

Google Keyword Blog | 08-Feb-2022

by Abhijit Guha Roy & Jie Ren

Google Research Blog | 27-Jan-2022

by Miles Hutson & Aaron Loh

TensorFlow Blog | 11-Oct-2021

by Peggy Bui & Yuan Liu

Google Keyword Blog | 18-May-2021

by Ayush Jain & Peggy Bui

Google Keyword Blog | 28-Apr-2021

by Timo Kohlberger & Yuan Liu

Google Research Blog | 19-Feb-2020

by Yuan Liu & Peggy Bui

Google Research Blog | 12-Sep-2019

Schaekermann, M., Spitz, T., Pyles, M., Cole-Lewis, H., Wulczyn, E., Pfohl, S. R., Martin, D., Jr, Jaroensri, R., Keeling, G., Liu, Y., Farquhar, S., Xue, Q., Lester, J., Hughes, C., Strachan, P., Tan, F., Bui, P., Mermel, C. H., Peng, L. H., Matias, Y., Corrado, G. S., Webster, D. R., Virmani, S., Semturs, C., Liu, Y., Horn, I. & Cameron Chen, P.-H.

eClinicalMedicine (2024).

Rikhye, R. V., Hong, G. E., Singh, P., Smith, M. A., Loh, A., Muralidharan, V., Wong, D., Sayres, R., Phung, M., Betancourt, N., Fong, B., Sahasrabudhe, R., Nasim, K., Eschholz, A., Matias, Y., Corrado, G. S., Chou, K., Webster, D. R., Bui, P., Liu, Y., Liu, Y., Ko, J. & Lin, S.

Mayo Clinic Proceedings: Digital Health (2024).

Alabdulmohsin, I.M., Schrouff, J., Koyejo, S.

35. NeurIPS (2022).

Vemulapalli, R., Morningstar, W. R., Mansfield, P. A., Eichner, H., Singhal, K., Afkanpour, A. & Green, B.

arXiv [cs.LG] (2022).

Huang, S. J., Liu, Y., Kanada, K., Corrado, G. S., Webster, D. R., Peng, L., Bui, P. & Liu, Y.

Skin Health and Disease (2021).

Guha Roy, A., Ren, J., Azizi, S., Loh, A., Natarajan, V., Mustafa, B., Pawlowski, N., Freyberg, J., Liu, Y., Beaver, Z., Vo, N., Bui, P., Winter, S., MacWilliams, P., Corrado, G. S., Telang, U., Liu, Y., Cemgil, T., Karthikesalingam, A., Lakshminarayanan, B. & Winkens, J.

Med. Image Analysis. 75, 102274 (2021). [ reading link ]

Weng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y.

JAMA Netw Open 4, e217249–e217249 (2021).

Machine Learning for Health NeurIPS Workshop (ML4H), PMLR 136:415-429 (2020).

Singh, N., Lee, K., Coz, D., Angermueller, C., Huang, S., Loh, A. & Liu, Y.

in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 3172–3181 (2020).

Liu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., Kanada, K., de Oliveira Marinho, G., Gallegos, J., Gabriele, S., Gupta, V., Singh, N., Natarajan, V., Hofmann-Wellenhof, R., Corrado, G. S., Peng, L. H., Webster, D. R., Ai, D., Huang, S., Liu, Y., Carter Dunn, R. & Coz, D.

Nat. Med. (2020). [readcube]

Ghorbani, A., Natarajan, V., Coz, D. & Liu, Y.

Machine Learning for Health NeurIPS Workshop (ML4H), PMLR 116:155-170 (2020).

Eng, C., Liu, Y. & Bhatnagar, R.

Br. J. Dermatol. (2019). readcube

by Yossi Matias & Ehud Rivlin

Google Research Blog | 5-Aug-2021

by Robin Suchan

Verily Press | 5-Aug-2021

by Daniel Freedman & Ehud Rivlin

Google Research Blog | 28-Aug-2020

Golany, T., Aides, A., Freedman, D., Rabani, N., Liu, Y., Rivlin, E., Corrado, G. S., Matias, Y., Khoury, W., Kashtan, H. & Reissman, P.

Surg. Endosc. (2022).

Livovsky, D. M., Veikherman, D., Golany, T., Aides, A., Dashinsky, V., Rabani, N., Ben Shimol, D., Blau, Y., Katzir, L., Shimshoni, I., Liu, Y., Segol, O., Goldin, E., Corrado, G., Lachter, J., Matias, Y., Rivlin, E. & Freedman, D.

Gastrointest. Endosc. (2021).

Freedman, D., Blau, Y., Katzir, L., Aides, A., Shimshoni, I., Veikherman, D., Golany, T., Gordon, A., Corrado, G., Matias, Y. & Rivlin, E.

IEEE Trans. Med. Imaging 1–1 (2020).

Epidemiological Forecasting

by Joel Shor & Sercan Arik

by Tomas Pfister

Google Cloud Blog | 15-Nov-2020

by Dario Sava

Google Cloud Blog | 3-Aug-2020

Tsai, T. C., Arik, S., Jacobson, B. H., Yoon, J., Yoder, N., Sava, D., Mitchell, M., Graham, G. & Pfister, T.

NPJ Digit Med 5, 59 (2022).

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by Michelle Budzyna & Molly McHugh-Johnson

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Br. J. Ophthalmol. (2023).

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Speed, C., Arneil, T., Harle, R., Wilson, A., Karthikesalingam, A., McConnell, M. & Phillips, J.

PLOS Digit Health 2, e0000236 (2023).

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Rhie, A., Nurk, S., Cechova, M., Hoyt, S. J., Taylor, D. J., Altemose, N., Hook, P. W., Koren, S., Rautiainen, M., Alexandrov, I. A., Allen, J., Asri, M., Bzikadze, A. V., Chen, N.-C., Chin, C.-S., Diekhans, M., Flicek, P., Formenti, G., Fungtammasan, A., Garcia Giron, C., Garrison, E., Gershman, A., Gerton, J. L., Grady, P. G. S., Guarracino, A., Haggerty, L., Halabian, R., Hansen, N. F., Harris, R., Hartley, G. A., Harvey, W. T., Haukness, M., Heinz, J., Hourlier, T., Hubley, R. M., Hunt, S. E., Hwang, S., Jain, M., Kesharwani, R. K., Lewis, A. P., Li, H., Logsdon, G. A., Lucas, J. K., Makalowski, W., Markovic, C., Martin, F. J., Mc Cartney, A. M., McCoy, R. C., McDaniel, J., McNulty, B. M., Medvedev, P., Mikheenko, A., Munson, K. M., Murphy, T. D., Olsen, H. E., Olson, N. D., Paulin, L. F., Porubsky, D., Potapova, T., Ryabov, F., Salzberg, S. L., Sauria, M. E. G., Sedlazeck, F. J., Shafin, K., Shepelev, V. A., Shumate, A., Storer, J. M., Surapaneni, L., Taravella Oill, A. M., Thibaud-Nissen, F., Timp, W., Tomaszkiewicz, M., Vollger, M. R., Walenz, B. P., Watwood, A. C., Weissensteiner, M. H., Wenger, A. M., Wilson, M. A., Zarate, S., Zhu, Y., Zook, J. M., Eichler, E. E., O’Neill, R. J., Schatz, M. C., Miga, K. H., Makova, K. D. & Phillippy, A. M.

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Nature 617, 312–324 (2023).

Cosentino, J., Behsaz, B., Alipanahi, B., McCaw, Z. R., Hill, D., Schwantes-An, T.-H., Lai, D., Carroll, A., Hobbs, B. D., Cho, M. H., McLean, C. Y. & Hormozdiari, F.

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Nature Portfolio Health Community Blog | 10-May-2023

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Google Research Blog | 14-Mar-2023

Google Cloud Blog | 12-Dec-2022

Verily Blog | 16-Mar-2022

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Google Research Blog | 11-Feb-2022

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Google Keyword Blog | 23-Sept-2021

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Nat. Med. 1–10 (2022).

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Google Research Blog | 20-Mar-2024

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TensorFlow Blog | 20-Jun-2023

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Medical research involves research in a wide range of fields, such as biology, chemistry, pharmacology and toxicology with the goal of developing new medicines or medical procedures or improving the application of those already available. It can be viewed as encompassing preclinical research (for example, in cellular systems and animal models) and clinical research (for example, clinical trials).

An open-source framework for electronic health record and patient fate exploration

We developed ehrapy, an open-source Python software framework for the exploratory analysis of electronic health record data. Ehrapy handles various widely used data formats, preprocessing tasks such as imputation of missing data and bias detection, and offers tools for analyses including patient stratification, survival analysis, causal inference and trajectory inference.

Improving primary healthcare with generative AI

Studies in China show how large language models can improve primary healthcare systems, but equitably scaling this technology will require attention to rural, low-resource settings and the companion policies that support its implementation.

Navigating treatment combinations in small-cell lung cancer

The ETER701 trial demonstrates that a four-drug regimen, involving the addition of anti-angiogenesis therapy to immuno-chemotherapy, improves survival outcomes for extensive-stage small-cell lung cancer — but is more indeed better when it comes to treating this intractable disease?

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Research Topics & Ideas: Healthcare

F inding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a healthcare-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of healthcare-related research ideas and topic thought-starters across a range of healthcare fields, including allopathic and alternative medicine, dentistry, physical therapy, optometry, pharmacology and public health.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the healthcare domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: Healthcare Research Topics

• Allopathic medicine
• Alternative /complementary medicine
• Veterinary medicine
• Physical therapy/ rehab
• Optometry and ophthalmology
• Pharmacy and pharmacology
• Public health
• Examples of healthcare-related dissertations

Allopathic (Conventional) Medicine

• The effectiveness of telemedicine in remote elderly patient care
• The impact of stress on the immune system of cancer patients
• The effects of a plant-based diet on chronic diseases such as diabetes
• The use of AI in early cancer diagnosis and treatment
• The role of the gut microbiome in mental health conditions such as depression and anxiety
• The efficacy of mindfulness meditation in reducing chronic pain: A systematic review
• The benefits and drawbacks of electronic health records in a developing country
• The effects of environmental pollution on breast milk quality
• The use of personalized medicine in treating genetic disorders
• The impact of social determinants of health on chronic diseases in Asia
• The role of high-intensity interval training in improving cardiovascular health
• The efficacy of using probiotics for gut health in pregnant women
• The impact of poor sleep on the treatment of chronic illnesses
• The role of inflammation in the development of chronic diseases such as lupus
• The effectiveness of physiotherapy in pain control post-surgery

Topics & Ideas: Alternative Medicine

• The benefits of herbal medicine in treating young asthma patients
• The use of acupuncture in treating infertility in women over 40 years of age
• The effectiveness of homoeopathy in treating mental health disorders: A systematic review
• The role of aromatherapy in reducing stress and anxiety post-surgery
• The impact of mindfulness meditation on reducing high blood pressure
• The use of chiropractic therapy in treating back pain of pregnant women
• The efficacy of traditional Chinese medicine such as Shun-Qi-Tong-Xie (SQTX) in treating digestive disorders in China
• The impact of yoga on physical and mental health in adolescents
• The benefits of hydrotherapy in treating musculoskeletal disorders such as tendinitis
• The role of Reiki in promoting healing and relaxation post birth
• The effectiveness of naturopathy in treating skin conditions such as eczema
• The use of deep tissue massage therapy in reducing chronic pain in amputees
• The impact of tai chi on the treatment of anxiety and depression
• The benefits of reflexology in treating stress, anxiety and chronic fatigue
• The role of acupuncture in the prophylactic management of headaches and migraines

Topics & Ideas: Dentistry

• The impact of sugar consumption on the oral health of infants
• The use of digital dentistry in improving patient care: A systematic review
• The efficacy of orthodontic treatments in correcting bite problems in adults
• The role of dental hygiene in preventing gum disease in patients with dental bridges
• The impact of smoking on oral health and tobacco cessation support from UK dentists
• The benefits of dental implants in restoring missing teeth in adolescents
• The use of lasers in dental procedures such as root canals
• The efficacy of root canal treatment using high-frequency electric pulses in saving infected teeth
• The role of fluoride in promoting remineralization and slowing down demineralization
• The impact of stress-induced reflux on oral health
• The benefits of dental crowns in restoring damaged teeth in elderly patients
• The use of sedation dentistry in managing dental anxiety in children
• The efficacy of teeth whitening treatments in improving dental aesthetics in patients with braces
• The role of orthodontic appliances in improving well-being
• The impact of periodontal disease on overall health and chronic illnesses

Topics & Ideas: Veterinary Medicine

• The impact of nutrition on broiler chicken production
• The role of vaccines in disease prevention in horses
• The importance of parasite control in animal health in piggeries
• The impact of animal behaviour on welfare in the dairy industry
• The effects of environmental pollution on the health of cattle
• The role of veterinary technology such as MRI in animal care
• The importance of pain management in post-surgery health outcomes
• The impact of genetics on animal health and disease in layer chickens
• The effectiveness of alternative therapies in veterinary medicine: A systematic review
• The role of veterinary medicine in public health: A case study of the COVID-19 pandemic
• The impact of climate change on animal health and infectious diseases in animals
• The importance of animal welfare in veterinary medicine and sustainable agriculture
• The effects of the human-animal bond on canine health
• The role of veterinary medicine in conservation efforts: A case study of Rhinoceros poaching in Africa
• The impact of veterinary research of new vaccines on animal health

Topics & Ideas: Physical Therapy/Rehab

• The efficacy of aquatic therapy in improving joint mobility and strength in polio patients
• The impact of telerehabilitation on patient outcomes in Germany
• The effect of kinesiotaping on reducing knee pain and improving function in individuals with chronic pain
• A comparison of manual therapy and yoga exercise therapy in the management of low back pain
• The use of wearable technology in physical rehabilitation and the impact on patient adherence to a rehabilitation plan
• The impact of mindfulness-based interventions in physical therapy in adolescents
• The effects of resistance training on individuals with Parkinson’s disease
• The role of hydrotherapy in the management of fibromyalgia
• The impact of cognitive-behavioural therapy in physical rehabilitation for individuals with chronic pain
• The use of virtual reality in physical rehabilitation of sports injuries
• The effects of electrical stimulation on muscle function and strength in athletes
• The role of physical therapy in the management of stroke recovery: A systematic review
• The impact of pilates on mental health in individuals with depression
• The use of thermal modalities in physical therapy and its effectiveness in reducing pain and inflammation
• The effect of strength training on balance and gait in elderly patients

Need a helping hand?

Topics & Ideas: Optometry & Opthalmology

• The impact of screen time on the vision and ocular health of children under the age of 5
• The effects of blue light exposure from digital devices on ocular health
• The role of dietary interventions, such as the intake of whole grains, in the management of age-related macular degeneration
• The use of telemedicine in optometry and ophthalmology in the UK
• The impact of myopia control interventions on African American children’s vision
• The use of contact lenses in the management of dry eye syndrome: different treatment options
• The effects of visual rehabilitation in individuals with traumatic brain injury
• The role of low vision rehabilitation in individuals with age-related vision loss: challenges and solutions
• The impact of environmental air pollution on ocular health
• The effectiveness of orthokeratology in myopia control compared to contact lenses
• The role of dietary supplements, such as omega-3 fatty acids, in ocular health
• The effects of ultraviolet radiation exposure from tanning beds on ocular health
• The impact of computer vision syndrome on long-term visual function
• The use of novel diagnostic tools in optometry and ophthalmology in developing countries
• The effects of virtual reality on visual perception and ocular health: an examination of dry eye syndrome and neurologic symptoms

Topics & Ideas: Pharmacy & Pharmacology

• The impact of medication adherence on patient outcomes in cystic fibrosis
• The use of personalized medicine in the management of chronic diseases such as Alzheimer’s disease
• The effects of pharmacogenomics on drug response and toxicity in cancer patients
• The role of pharmacists in the management of chronic pain in primary care
• The impact of drug-drug interactions on patient mental health outcomes
• The use of telepharmacy in healthcare: Present status and future potential
• The effects of herbal and dietary supplements on drug efficacy and toxicity
• The role of pharmacists in the management of type 1 diabetes
• The impact of medication errors on patient outcomes and satisfaction
• The use of technology in medication management in the USA
• The effects of smoking on drug metabolism and pharmacokinetics: A case study of clozapine
• Leveraging the role of pharmacists in preventing and managing opioid use disorder
• The impact of the opioid epidemic on public health in a developing country
• The use of biosimilars in the management of the skin condition psoriasis
• The effects of the Affordable Care Act on medication utilization and patient outcomes in African Americans

Topics & Ideas: Public Health

• The impact of the built environment and urbanisation on physical activity and obesity
• The effects of food insecurity on health outcomes in Zimbabwe
• The role of community-based participatory research in addressing health disparities
• The impact of social determinants of health, such as racism, on population health
• The effects of heat waves on public health
• The role of telehealth in addressing healthcare access and equity in South America
• The impact of gun violence on public health in South Africa
• The effects of chlorofluorocarbons air pollution on respiratory health
• The role of public health interventions in reducing health disparities in the USA
• The impact of the United States Affordable Care Act on access to healthcare and health outcomes
• The effects of water insecurity on health outcomes in the Middle East
• The role of community health workers in addressing healthcare access and equity in low-income countries
• The impact of mass incarceration on public health and behavioural health of a community
• The effects of floods on public health and healthcare systems
• The role of social media in public health communication and behaviour change in adolescents

Examples: Healthcare Dissertation & Theses

While the ideas we’ve presented above are a decent starting point for finding a healthcare-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various healthcare-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• Improving Follow-Up Care for Homeless Populations in North County San Diego (Sanchez, 2021)
• On the Incentives of Medicare’s Hospital Reimbursement and an Examination of Exchangeability (Elzinga, 2016)
• Managing the healthcare crisis: the career narratives of nurses (Krueger, 2021)
• Methods for preventing central line-associated bloodstream infection in pediatric haematology-oncology patients: A systematic literature review (Balkan, 2020)
• Farms in Healthcare: Enhancing Knowledge, Sharing, and Collaboration (Garramone, 2019)
• When machine learning meets healthcare: towards knowledge incorporation in multimodal healthcare analytics (Yuan, 2020)
• Integrated behavioural healthcare: The future of rural mental health (Fox, 2019)
• Healthcare service use patterns among autistic adults: A systematic review with narrative synthesis (Gilmore, 2021)
• Mindfulness-Based Interventions: Combatting Burnout and Compassionate Fatigue among Mental Health Caregivers (Lundquist, 2022)
• Transgender and gender-diverse people’s perceptions of gender-inclusive healthcare access and associated hope for the future (Wille, 2021)
• Efficient Neural Network Synthesis and Its Application in Smart Healthcare (Hassantabar, 2022)
• The Experience of Female Veterans and Health-Seeking Behaviors (Switzer, 2022)
• Machine learning applications towards risk prediction and cost forecasting in healthcare (Singh, 2022)
• Does Variation in the Nursing Home Inspection Process Explain Disparity in Regulatory Outcomes? (Fox, 2020)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

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19 Comments

I need topics that will match the Msc program am running in healthcare research please

Hello Mabel,

I can help you with a good topic, kindly provide your email let’s have a good discussion on this.

Can you provide some research topics and ideas on Immunology?

Thank you to create new knowledge on research problem verse research topic

Help on problem statement on teen pregnancy

This post might be useful: https://gradcoach.com/research-problem-statement/

can you give me research titles that i can conduct as a school nurse

can you provide me with a research topic on healthcare related topics to a qqi level 5 student

Please can someone help me with research topics in public health ?

Hello I have requirement of Health related latest research issue/topics for my social media speeches. If possible pls share health issues , diagnosis, treatment.

I would like a topic thought around first-line support for Gender-Based Violence for survivors or one related to prevention of Gender-Based Violence

Please can I be helped with a master’s research topic in either chemical pathology or hematology or immunology? thanks

Can u please provide me with a research topic on occupational health and safety at the health sector

Good day kindly help provide me with Ph.D. Public health topics on Reproductive and Maternal Health, interventional studies on Health Education

may you assist me with a good easy healthcare administration study topic

May you assist me in finding a research topic on nutrition,physical activity and obesity. On the impact on children

I have been racking my brain for a while on what topic will be suitable for my PhD in health informatics. I want a qualitative topic as this is my strong area.

Hi, may I please be assisted with research topics in the medical laboratory sciences

How do i frame a qualitative topic that will be suitable for the use of calibrated drape among midwifes. this is a thesis for my master programme in midwifery education.

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Open Access

Peer-reviewed

Research Article

Assessing the impact of healthcare research: A systematic review of methodological frameworks

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

Affiliation Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Validation, Writing – review & editing

* E-mail: [email protected]

Roles Data curation, Formal analysis, Methodology, Validation, Writing – review & editing

Roles Formal analysis, Methodology, Supervision, Validation, Writing – review & editing

• Samantha Cruz Rivera, 
• Derek G. Kyte, 
• Olalekan Lee Aiyegbusi, 
• Thomas J. Keeley, 
• Melanie J. Calvert

• Published: August 9, 2017
• https://doi.org/10.1371/journal.pmed.1002370
• Reader Comments

Increasingly, researchers need to demonstrate the impact of their research to their sponsors, funders, and fellow academics. However, the most appropriate way of measuring the impact of healthcare research is subject to debate. We aimed to identify the existing methodological frameworks used to measure healthcare research impact and to summarise the common themes and metrics in an impact matrix.

Methods and findings

Two independent investigators systematically searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica Database (EMBASE), the Cumulative Index to Nursing and Allied Health Literature (CINAHL+), the Health Management Information Consortium, and the Journal of Research Evaluation from inception until May 2017 for publications that presented a methodological framework for research impact. We then summarised the common concepts and themes across methodological frameworks and identified the metrics used to evaluate differing forms of impact. Twenty-four unique methodological frameworks were identified, addressing 5 broad categories of impact: (1) ‘primary research-related impact’, (2) ‘influence on policy making’, (3) ‘health and health systems impact’, (4) ‘health-related and societal impact’, and (5) ‘broader economic impact’. These categories were subdivided into 16 common impact subgroups. Authors of the included publications proposed 80 different metrics aimed at measuring impact in these areas. The main limitation of the study was the potential exclusion of relevant articles, as a consequence of the poor indexing of the databases searched.

Conclusions

The measurement of research impact is an essential exercise to help direct the allocation of limited research resources, to maximise research benefit, and to help minimise research waste. This review provides a collective summary of existing methodological frameworks for research impact, which funders may use to inform the measurement of research impact and researchers may use to inform study design decisions aimed at maximising the short-, medium-, and long-term impact of their research.

Author summary

Why was this study done.

• There is a growing interest in demonstrating the impact of research in order to minimise research waste, allocate resources efficiently, and maximise the benefit of research. However, there is no consensus on which is the most appropriate tool to measure the impact of research.
• To our knowledge, this review is the first to synthesise existing methodological frameworks for healthcare research impact, and the associated impact metrics by which various authors have proposed impact should be measured, into a unified matrix.

What did the researchers do and find?

• We conducted a systematic review identifying 24 existing methodological research impact frameworks.
• We scrutinised the sample, identifying and summarising 5 proposed impact categories, 16 impact subcategories, and over 80 metrics into an impact matrix and methodological framework.

What do these findings mean?

• This simplified consolidated methodological framework will help researchers to understand how a research study may give rise to differing forms of impact, as well as in what ways and at which time points these potential impacts might be measured.
• Incorporating these insights into the design of a study could enhance impact, optimizing the use of research resources.

Citation: Cruz Rivera S, Kyte DG, Aiyegbusi OL, Keeley TJ, Calvert MJ (2017) Assessing the impact of healthcare research: A systematic review of methodological frameworks. PLoS Med 14(8): e1002370. https://doi.org/10.1371/journal.pmed.1002370

Academic Editor: Mike Clarke, Queens University Belfast, UNITED KINGDOM

Received: February 28, 2017; Accepted: July 7, 2017; Published: August 9, 2017

Copyright: © 2017 Cruz Rivera et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and supporting files.

Funding: Funding was received from Consejo Nacional de Ciencia y Tecnología (CONACYT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript ( http://www.conacyt.mx/ ).

Competing interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: MJC has received consultancy fees from Astellas and Ferring pharma and travel fees from the European Society of Cardiology outside the submitted work. TJK is in full-time paid employment for PAREXEL International.

Abbreviations: AIHS, Alberta Innovates—Health Solutions; CAHS, Canadian Academy of Health Sciences; CIHR, Canadian Institutes of Health Research; CINAHL+, Cumulative Index to Nursing and Allied Health Literature; EMBASE, Excerpta Medica Database; ERA, Excellence in Research for Australia; HEFCE, Higher Education Funding Council for England; HMIC, Health Management Information Consortium; HTA, Health Technology Assessment; IOM, Impact Oriented Monitoring; MDG, Millennium Development Goal; NHS, National Health Service; MEDLINE, Medical Literature Analysis and Retrieval System Online; PHC RIS, Primary Health Care Research & Information Service; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; PROM, patient-reported outcome measures; QALY, quality-adjusted life year; R&D, research and development; RAE, Research Assessment Exercise; REF, Research Excellence Framework; RIF, Research Impact Framework; RQF, Research Quality Framework; SDG, Sustainable Development Goal; SIAMPI, Social Impact Assessment Methods for research and funding instruments through the study of Productive Interactions between science and society

Introduction

In 2010, approximately US$240 billion was invested in healthcare research worldwide [ 1 ]. Such research is utilised by policy makers, healthcare providers, and clinicians to make important evidence-based decisions aimed at maximising patient benefit, whilst ensuring that limited healthcare resources are used as efficiently as possible to facilitate effective and sustainable service delivery. It is therefore essential that this research is of high quality and that it is impactful—i.e., it delivers demonstrable benefits to society and the wider economy whilst minimising research waste [ 1 , 2 ]. Research impact can be defined as ‘any identifiable ‘benefit to, or positive influence on the economy, society, public policy or services, health, the environment, quality of life or academia’ (p. 26) [ 3 ].

There are many purported benefits associated with the measurement of research impact, including the ability to (1) assess the quality of the research and its subsequent benefits to society; (2) inform and influence optimal policy and funding allocation; (3) demonstrate accountability, the value of research in terms of efficiency and effectiveness to the government, stakeholders, and society; and (4) maximise impact through better understanding the concept and pathways to impact [ 4 – 7 ].

Measuring and monitoring the impact of healthcare research has become increasingly common in the United Kingdom [ 5 ], Australia [ 5 ], and Canada [ 8 ], as governments, organisations, and higher education institutions seek a framework to allocate funds to projects that are more likely to bring the most benefit to society and the economy [ 5 ]. For example, in the UK, the 2014 Research Excellence Framework (REF) has recently been used to assess the quality and impact of research in higher education institutions, through the assessment of impact cases studies and selected qualitative impact metrics [ 9 ]. This is the first initiative to allocate research funding based on the economic, societal, and cultural impact of research, although it should be noted that research impact only drives a proportion of this allocation (approximately 20%) [ 9 ].

In the UK REF, the measurement of research impact is seen as increasingly important. However, the impact element of the REF has been criticised in some quarters [ 10 , 11 ]. Critics deride the fact that REF impact is determined in a relatively simplistic way, utilising researcher-generated case studies, which commonly attempt to link a particular research outcome to an associated policy or health improvement despite the fact that the wider literature highlights great diversity in the way research impact may be demonstrated [ 12 , 13 ]. This led to the current debate about the optimal method of measuring impact in the future REF [ 10 , 14 ]. The Stern review suggested that research impact should not only focus on socioeconomic impact but should also include impact on government policy, public engagement, academic impacts outside the field, and teaching to showcase interdisciplinary collaborative impact [ 10 , 11 ]. The Higher Education Funding Council for England (HEFCE) has recently set out the proposals for the REF 2021 exercise, confirming that the measurement of such impact will continue to form an important part of the process [ 15 ].

With increasing pressure for healthcare research to lead to demonstrable health, economic, and societal impact, there is a need for researchers to understand existing methodological impact frameworks and the means by which impact may be quantified (i.e., impact metrics; see Box 1 , 'Definitions’) to better inform research activities and funding decisions. From a researcher’s perspective, understanding the optimal pathways to impact can help inform study design aimed at maximising the impact of the project. At the same time, funders need to understand which aspects of impact they should focus on when allocating awards so they can make the most of their investment and bring the greatest benefit to patients and society [ 2 , 4 , 5 , 16 , 17 ].

Box 1. Definitions

• Research impact: ‘any identifiable benefit to, or positive influence on, the economy, society, public policy or services, health, the environment, quality of life, or academia’ (p. 26) [ 3 ].
• Methodological framework: ‘a body of methods, rules and postulates employed by a particular procedure or set of procedures (i.e., framework characteristics and development)’ [ 18 ].
• Pathway: ‘a way of achieving a specified result; a course of action’ [ 19 ].
• Quantitative metrics: ‘a system or standard of [quantitative] measurement’ [ 20 ].
• Narrative metrics: ‘a spoken or written account of connected events; a story’ [ 21 ].

Whilst previous researchers have summarised existing methodological frameworks and impact case studies [ 4 , 22 – 27 ], they have not summarised the metrics for use by researchers, funders, and policy makers. The aim of this review was therefore to (1) identify the methodological frameworks used to measure healthcare research impact using systematic methods, (2) summarise common impact themes and metrics in an impact matrix, and (3) provide a simplified consolidated resource for use by funders, researchers, and policy makers.

Search strategy and selection criteria

Initially, a search strategy was developed to identify the available literature regarding the different methods to measure research impact. The following keywords: ‘Impact’, ‘Framework’, and ‘Research’, and their synonyms, were used during the search of the Medical Literature Analysis and Retrieval System Online (MEDLINE; Ovid) database, the Excerpta Medica Database (EMBASE), the Health Management Information Consortium (HMIC) database, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL+) database (inception to May 2017; see S1 Appendix for the full search strategy). Additionally, the nonindexed Journal of Research Evaluation was hand searched during the same timeframe using the keyword ‘Impact’. Other relevant articles were identified through 3 Internet search engines (Google, Google Scholar, and Google Images) using the keywords ‘Impact’, ‘Framework’, and ‘Research’, with the first 50 results screened. Google Images was searched because different methodological frameworks are summarised in a single image and can easily be identified through this search engine. Finally, additional publications were sought through communication with experts.

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (see S1 PRISMA Checklist ), 2 independent investigators systematically screened for publications describing, evaluating, or utilising a methodological research impact framework within the context of healthcare research [ 28 ]. Papers were eligible if they included full or partial methodological frameworks or pathways to research impact; both primary research and systematic reviews fitting these criteria were included. We included any methodological framework identified (original or modified versions) at the point of first occurrence. In addition, methodological frameworks were included if they were applicable to the healthcare discipline with no need of modification within their structure. We defined ‘methodological framework’ as ‘a body of methods, rules and postulates employed by a particular procedure or set of procedures (i.e., framework characteristics and development)’ [ 18 ], whereas we defined ‘pathway’ as ‘a way of achieving a specified result; a course of action’ [ 19 ]. Studies were excluded if they presented an existing (unmodified) methodological framework previously available elsewhere, did not explicitly describe a methodological framework but rather focused on a single metric (e.g., bibliometric analysis), focused on the impact or effectiveness of interventions rather than that of the research, or presented case study data only. There were no language restrictions.

Data screening

Records were downloaded into Endnote (version X7.3.1), and duplicates were removed. Two independent investigators (SCR and OLA) conducted all screening following a pilot aimed at refining the process. The records were screened by title and abstract before full-text articles of potentially eligible publications were retrieved for evaluation. A full-text screening identified the publications included for data extraction. Discrepancies were resolved through discussion, with the involvement of a third reviewer (MJC, DGK, and TJK) when necessary.

Data extraction and analysis

Data extraction occurred after the final selection of included articles. SCR and OLA independently extracted details of impact methodological frameworks, the country of origin, and the year of publication, as well as the source, the framework description, and the methodology used to develop the framework. Information regarding the methodology used to develop each methodological framework was also extracted from framework webpages where available. Investigators also extracted details regarding each framework’s impact categories and subgroups, along with their proposed time to impact (‘short-term’, ‘mid-term’, or ‘long-term’) and the details of any metrics that had been proposed to measure impact, which are depicted in an impact matrix. The structure of the matrix was informed by the work of M. Buxton and S. Hanney [ 2 ], P. Buykx et al. [ 5 ], S. Kuruvila et al. [ 29 ], and A. Weiss [ 30 ], with the intention of mapping metrics presented in previous methodological frameworks in a concise way. A consensus meeting with MJC, DGK, and TJK was held to solve disagreements and finalise the data extraction process.

Included studies

Our original search strategy identified 359 citations from MEDLINE (Ovid), EMBASE, CINAHL+, HMIC, and the Journal of Research Evaluation, and 101 citations were returned using other sources (Google, Google Images, Google Scholar, and expert communication) (see Fig 1 ) [ 28 ]. In total, we retrieved 54 full-text articles for review. At this stage, 39 articles were excluded, as they did not propose new or modified methodological frameworks. An additional 15 articles were included following the backward and forward citation method. A total of 31 relevant articles were included in the final analysis, of which 24 were articles presenting unique frameworks and the remaining 7 were systematic reviews [ 4 , 22 – 27 ]. The search strategy was rerun on 15 May 2017. A further 19 publications were screened, and 2 were taken forward to full-text screening but were ineligible for inclusion.

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https://doi.org/10.1371/journal.pmed.1002370.g001

Methodological framework characteristics

The characteristics of the 24 included methodological frameworks are summarised in Table 1 , 'Methodological framework characteristics’. Fourteen publications proposed academic-orientated frameworks, which focused on measuring academic, societal, economic, and cultural impact using narrative and quantitative metrics [ 2 , 3 , 5 , 8 , 29 , 31 – 39 ]. Five publications focused on assessing the impact of research by focusing on the interaction process between stakeholders and researchers (‘productive interactions’), which is a requirement to achieve research impact. This approach tries to address the issue of attributing research impact to metrics [ 7 , 40 – 43 ]. Two frameworks focused on the importance of partnerships between researchers and policy makers, as a core element to accomplish research impact [ 44 , 45 ]. An additional 2 frameworks focused on evaluating the pathways to impact, i.e., linking processes between research and impact [ 30 , 46 ]. One framework assessed the ability of health technology to influence efficiency of healthcare systems [ 47 ]. Eight frameworks were developed in the UK [ 2 , 3 , 29 , 37 , 39 , 42 , 43 , 45 ], 6 in Canada [ 8 , 33 , 34 , 44 , 46 , 47 ], 4 in Australia [ 5 , 31 , 35 , 38 ], 3 in the Netherlands [ 7 , 40 , 41 ], and 2 in the United States [ 30 , 36 ], with 1 model developed with input from various countries [ 32 ].

https://doi.org/10.1371/journal.pmed.1002370.t001

Methodological framework development

The included methodological frameworks varied in their development process, but there were some common approaches employed. Most included a literature review [ 2 , 5 , 7 , 8 , 31 , 33 , 36 , 37 , 40 – 46 ], although none of them used a recognised systematic method. Most also consulted with various stakeholders [ 3 , 8 , 29 , 31 , 33 , 35 – 38 , 43 , 44 , 46 , 47 ] but used differing methods to incorporate their views, including quantitative surveys [ 32 , 35 , 43 , 46 ], face-to-face interviews [ 7 , 29 , 33 , 35 , 37 , 42 , 43 ], telephone interviews [ 31 , 46 ], consultation [ 3 , 7 , 36 ], and focus groups [ 39 , 43 ]. A range of stakeholder groups were approached across the sample, including principal investigators [ 7 , 29 , 43 ], research end users [ 7 , 42 , 43 ], academics [ 3 , 8 , 39 , 40 , 43 , 46 ], award holders [ 43 ], experts [ 33 , 38 , 39 ], sponsors [ 33 , 39 ], project coordinators [ 32 , 42 ], and chief investigators [ 31 , 35 ]. However, some authors failed to identify the stakeholders involved in the development of their frameworks [ 2 , 5 , 34 , 41 , 45 ], making it difficult to assess their appropriateness. In addition, only 4 of the included papers reported using formal analytic methods to interpret stakeholder responses. These included the Canadian Academy of Health Sciences framework, which used conceptual cluster analysis [ 33 ]. The Research Contribution [ 42 ], Research Impact [ 29 ], and Primary Health Care & Information Service [ 31 ] used a thematic analysis approach. Finally, some authors went on to pilot their framework, which shaped refinements on the methodological frameworks until approval. Methods used to pilot the frameworks included a case study approach [ 2 , 3 , 30 , 32 , 33 , 36 , 40 , 42 , 44 , 45 ], contrasting results against available literature [ 29 ], the use of stakeholders’ feedback [ 7 ], and assessment tools [ 35 , 46 ].

Major impact categories

1. primary research-related impact..

A number of methodological frameworks advocated the evaluation of ‘research-related impact’. This encompassed content related to the generation of new knowledge, knowledge dissemination, capacity building, training, leadership, and the development of research networks. These outcomes were considered the direct or primary impacts of a research project, as these are often the first evidenced returns [ 30 , 62 ].

A number of subgroups were identified within this category, with frameworks supporting the collection of impact data across the following constructs: ‘research and innovation outcomes’; ‘dissemination and knowledge transfer’; ‘capacity building, training, and leadership’; and ‘academic collaborations, research networks, and data sharing’.

1 . 1 . Research and innovation outcomes . Twenty of the 24 frameworks advocated the evaluation of ‘research and innovation outcomes’ [ 2 , 3 , 5 , 7 , 8 , 29 – 39 , 41 , 43 , 44 , 46 ]. This subgroup included the following metrics: number of publications; number of peer-reviewed articles (including journal impact factor); citation rates; requests for reprints, number of reviews, and meta-analysis; and new or changes in existing products (interventions or technology), patents, and research. Additionally, some frameworks also sought to gather information regarding ‘methods/methodological contributions’. These advocated the collection of systematic reviews and appraisals in order to identify gaps in knowledge and determine whether the knowledge generated had been assessed before being put into practice [ 29 ].

1 . 2 . Dissemination and knowledge transfer . Nineteen of the 24 frameworks advocated the assessment of ‘dissemination and knowledge transfer’ [ 2 , 3 , 5 , 7 , 29 – 32 , 34 – 43 , 46 ]. This comprised collection of the following information: number of conferences, seminars, workshops, and presentations; teaching output (i.e., number of lectures given to disseminate the research findings); number of reads for published articles; article download rate and number of journal webpage visits; and citations rates in nonjournal media such as newspapers and mass and social media (i.e., Twitter and blogs). Furthermore, this impact subgroup considered the measurement of research uptake and translatability and the adoption of research findings in technological and clinical applications and by different fields. These can be measured through patents, clinical trials, and partnerships between industry and business, government and nongovernmental organisations, and university research units and researchers [ 29 ].

1 . 3 . Capacity building , training , and leadership . Fourteen of 24 frameworks suggested the evaluation of ‘capacity building, training, and leadership’ [ 2 , 3 , 5 , 8 , 29 , 31 – 35 , 39 – 41 , 43 ]. This involved collecting information regarding the number of doctoral and postdoctoral studentships (including those generated as a result of the research findings and those appointed to conduct the research), as well as the number of researchers and research-related staff involved in the research projects. In addition, authors advocated the collection of ‘leadership’ metrics, including the number of research projects managed and coordinated and the membership of boards and funding bodies, journal editorial boards, and advisory committees [ 29 ]. Additional metrics in this category included public recognition (number of fellowships and awards for significant research achievements), academic career advancement, and subsequent grants received. Lastly, the impact metric ‘research system management’ comprised the collection of information that can lead to preserving the health of the population, such as modifying research priorities, resource allocation strategies, and linking health research to other disciplines to maximise benefits [ 29 ].

1 . 4 . Academic collaborations , research networks , and data sharing . Lastly, 10 of the 24 frameworks advocated the collection of impact data regarding ‘academic collaborations (internal and external collaborations to complete a research project), research networks, and data sharing’ [ 2 , 3 , 5 , 7 , 29 , 34 , 37 , 39 , 41 , 43 ].

2. Influence on policy making.

Methodological frameworks addressing this major impact category focused on measurable improvements within a given knowledge base and on interactions between academics and policy makers, which may influence policy-making development and implementation. The returns generated in this impact category are generally considered as intermediate or midterm (1 to 3 years). These represent an important interim stage in the process towards the final expected impacts, such as quantifiable health improvements and economic benefits, without which policy change may not occur [ 30 , 62 ]. The following impact subgroups were identified within this category: ‘type and nature of policy impact’, ‘level of policy making’, and ‘policy networks’.

2 . 1 . Type and nature of policy impact . The most common impact subgroup, mentioned in 18 of the 24 frameworks, was ‘type and nature of policy impact’ [ 2 , 7 , 29 – 38 , 41 – 43 , 45 – 47 ]. Methodological frameworks addressing this subgroup stressed the importance of collecting information regarding the influence of research on policy (i.e., changes in practice or terminology). For instance, a project looking at trafficked adolescents and women (2003) influenced the WHO guidelines (2003) on ethics regarding this particular group [ 17 , 21 , 63 ].

2 . 2 . Level of policy impact . Thirteen of 24 frameworks addressed aspects surrounding the need to record the ‘level of policy impact’ (international, national, or local) and the organisations within a level that were influenced (local policy makers, clinical commissioning groups, and health and wellbeing trusts) [ 2 , 5 , 8 , 29 , 31 , 34 , 38 , 41 , 43 – 47 ]. Authors considered it important to measure the ‘level of policy impact’ to provide evidence of collaboration, coordination, and efficiency within health organisations and between researchers and health organisations [ 29 , 31 ].

2 . 3 . Policy networks . Five methodological frameworks highlighted the need to collect information regarding collaborative research with industry and staff movement between academia and industry [ 5 , 7 , 29 , 41 , 43 ]. A policy network emphasises the relationship between policy communities, researchers, and policy makers. This relationship can influence and lead to incremental changes in policy processes [ 62 ].

3. Health and health systems impact.

A number of methodological frameworks advocated the measurement of impacts on health and healthcare systems across the following impact subgroups: ‘quality of care and service delivering’, ‘evidence-based practice’, ‘improved information and health information management’, ‘cost containment and effectiveness’, ‘resource allocation’, and ‘health workforce’.

3 . 1 . Quality of care and service delivery . Twelve of the 24 frameworks highlighted the importance of evaluating ‘quality of care and service delivery’ [ 2 , 5 , 8 , 29 – 31 , 33 – 36 , 41 , 47 ]. There were a number of suggested metrics that could be potentially used for this purpose, including health outcomes such as quality-adjusted life years (QALYs), patient-reported outcome measures (PROMs), patient satisfaction and experience surveys, and qualitative data on waiting times and service accessibility.

3 . 2 . Evidence-based practice . ‘Evidence-based practice’, mentioned in 5 of the 24 frameworks, refers to making changes in clinical diagnosis, clinical practice, treatment decisions, or decision making based on research evidence [ 5 , 8 , 29 , 31 , 33 ]. The suggested metrics to demonstrate evidence-based practice were adoption of health technologies and research outcomes to improve the healthcare systems and inform policies and guidelines [ 29 ].

3 . 3 . Improved information and health information management . This impact subcategory, mentioned in 5 of the 24 frameworks, refers to the influence of research on the provision of health services and management of the health system to prevent additional costs [ 5 , 29 , 33 , 34 , 38 ]. Methodological frameworks advocated the collection of health system financial, nonfinancial (i.e., transport and sociopolitical implications), and insurance information in order to determine constraints within a health system.

3 . 4 . Cost containment and cost-effectiveness . Six of the 24 frameworks advocated the subcategory ‘cost containment and cost-effectiveness’ [ 2 , 5 , 8 , 17 , 33 , 36 ]. ‘Cost containment’ comprised the collection of information regarding how research has influenced the provision and management of health services and its implication in healthcare resource allocation and use [ 29 ]. ‘Cost-effectiveness’ refers to information concerning economic evaluations to assess improvements in effectiveness and health outcomes—for instance, the cost-effectiveness (cost and health outcome benefits) assessment of introducing a new health technology to replace an older one [ 29 , 31 , 64 ].

3 . 5 . Resource allocation . ‘Resource allocation’, mentioned in 6frameworks, can be measured through 2 impact metrics: new funding attributed to the intervention in question and equity while allocating resources, such as improved allocation of resources at an area level; better targeting, accessibility, and utilisation; and coverage of health services [ 2 , 5 , 29 , 31 , 45 , 47 ]. The allocation of resources and targeting can be measured through health services research reports, with the utilisation of health services measured by the probability of providing an intervention when needed, the probability of requiring it again in the future, and the probability of receiving an intervention based on previous experience [ 29 , 31 ].

3 . 6 . Health workforce . Lastly, ‘health workforce’, present in 3 methodological frameworks, refers to the reduction in the days of work lost because of a particular illness [ 2 , 5 , 31 ].

4. Health-related and societal impact.

Three subgroups were included in this category: ‘health literacy’; ‘health knowledge, attitudes, and behaviours’; and ‘improved social equity, inclusion, or cohesion’.

4 . 1 . Health knowledge , attitudes , and behaviours . Eight of the 24 frameworks suggested the assessment of ‘health knowledge, attitudes, behaviours, and outcomes’, which could be measured through the evaluation of levels of public engagement with science and research (e.g., National Health Service (NHS) Choices end-user visit rate) or by using focus groups to analyse changes in knowledge, attitudes, and behaviour among society [ 2 , 5 , 29 , 33 – 35 , 38 , 43 ].

4 . 2 . Improved equity , inclusion , or cohesion and human rights . Other methodological frameworks, 4 of the 24, suggested capturing improvements in equity, inclusion, or cohesion and human rights. Authors suggested these could be using a resource like the United Nations Millennium Development Goals (MDGs) (superseded by Sustainable Development Goals [SDGs] in 2015) and human rights [ 29 , 33 , 34 , 38 ]. For instance, a cluster-randomised controlled trial in Nepal, which had female participants, has demonstrated the reduction of neonatal mortality through the introduction of maternity health care, distribution of delivery kits, and home visits. This illustrates how research can target vulnerable and disadvantaged groups. Additionally, this research has been introduced by the World Health Organisation to achieve the MDG ‘improve maternal health’ [ 16 , 29 , 65 ].

4 . 3 . Health literacy . Some methodological frameworks, 3 of the 24, focused on tracking changes in the ability of patients to make informed healthcare decisions, reduce health risks, and improve quality of life, which were demonstrably linked to a particular programme of research [ 5 , 29 , 43 ]. For example, a systematic review showed that when HIV health literacy/knowledge is spread among people living with the condition, antiretroviral adherence and quality of life improve [ 66 ].

5. Broader economic impacts.

Some methodological frameworks, 9 of 24, included aspects related to the broader economic impacts of health research—for example, the economic benefits emerging from the commercialisation of research outputs [ 2 , 5 , 29 , 31 , 33 , 35 , 36 , 38 , 67 ]. Suggested metrics included the amount of funding for research and development (R&D) that was competitively awarded by the NHS, medical charities, and overseas companies. Additional metrics were income from intellectual property, spillover effects (any secondary benefit gained as a repercussion of investing directly in a primary activity, i.e., the social and economic returns of investing on R&D) [ 33 ], patents granted, licences awarded and brought to the market, the development and sales of spinout companies, research contracts, and income from industry.

The benefits contained within the categories ‘health and health systems impact’, ‘health-related and societal impact’, and ‘broader economic impacts’ are considered the expected and final returns of the resources allocated in healthcare research [ 30 , 62 ]. These benefits commonly arise in the long term, beyond 5 years according to some authors, but there was a recognition that this could differ depending on the project and its associated research area [ 4 ].

Data synthesis

Five major impact categories were identified across the 24 included methodological frameworks: (1) ‘primary research-related impact’, (2) ‘influence on policy making’, (3) ‘health and health systems impact’, (4) ‘health-related and societal impact’, and (5) ‘broader economic impact’. These major impact categories were further subdivided into 16 impact subgroups. The included publications proposed 80 different metrics to measure research impact. This impact typology synthesis is depicted in ‘the impact matrix’ ( Fig 2 and Fig 3 ).

CIHR, Canadian Institutes of Health Research; HTA, Health Technology Assessment; PHC RIS, Primary Health Care Research & Information Service; RAE, Research Assessment Exercise; RQF, Research Quality Framework.

https://doi.org/10.1371/journal.pmed.1002370.g002

AIHS, Alberta Innovates—Health Solutions; CAHS, Canadian Institutes of Health Research; IOM, Impact Oriented Monitoring; REF, Research Excellence Framework; SIAMPI, Social Impact Assessment Methods for research and funding instruments through the study of Productive Interactions between science and society.

https://doi.org/10.1371/journal.pmed.1002370.g003

Commonality and differences across frameworks

The ‘Research Impact Framework’ and the ‘Health Services Research Impact Framework’ were the models that encompassed the largest number of the metrics extracted. The most dominant methodological framework was the Payback Framework; 7 other methodological framework models used the Payback Framework as a starting point for development [ 8 , 29 , 31 – 35 ]. Additional methodological frameworks that were commonly incorporated into other tools included the CIHR framework, the CAHS model, the AIHS framework, and the Exchange model [ 8 , 33 , 34 , 44 ]. The capture of ‘research-related impact’ was the most widely advocated concept across methodological frameworks, illustrating the importance with which primary short-term impact outcomes were viewed by the included papers. Thus, measurement of impact via number of publications, citations, and peer-reviewed articles was the most common. ‘Influence on policy making’ was the predominant midterm impact category, specifically the subgroup ‘type and nature of policy impact’, in which frameworks advocated the measurement of (i) changes to legislation, regulations, and government policy; (ii) influence and involvement in decision-making processes; and (iii) changes to clinical or healthcare training, practice, or guidelines. Within more long-term impact measurement, the evaluations of changes in the ‘quality of care and service delivery’ were commonly advocated.

In light of the commonalities and differences among the methodological frameworks, the ‘pathways to research impact’ diagram ( Fig 4 ) was developed to provide researchers, funders, and policy makers a more comprehensive and exhaustive way to measure healthcare research impact. The diagram has the advantage of assorting all the impact metrics proposed by previous frameworks and grouping them into different impact subgroups and categories. Prospectively, this global picture will help researchers, funders, and policy makers plan strategies to achieve multiple pathways to impact before carrying the research out. The analysis of the data extraction and construction of the impact matrix led to the development of the ‘pathways to research impact’ diagram ( Fig 4 ). The diagram aims to provide an exhaustive and comprehensive way of tracing research impact by combining all the impact metrics presented by the different 24 frameworks, grouping those metrics into different impact subgroups, and grouping these into broader impact categories.

NHS, National Health Service; PROM, patient-reported outcome measure; QALY, quality-adjusted life year; R&D, research and development.

https://doi.org/10.1371/journal.pmed.1002370.g004

This review has summarised existing methodological impact frameworks together for the first time using systematic methods ( Fig 4 ). It allows researchers and funders to consider pathways to impact at the design stage of a study and to understand the elements and metrics that need to be considered to facilitate prospective assessment of impact. Users do not necessarily need to cover all the aspects of the methodological framework, as every research project can impact on different categories and subgroups. This review provides information that can assist researchers to better demonstrate impact, potentially increasing the likelihood of conducting impactful research and reducing research waste. Existing reviews have not presented a methodological framework that includes different pathways to impact, health impact categories, subgroups, and metrics in a single methodological framework.

Academic-orientated frameworks included in this review advocated the measurement of impact predominantly using so-called ‘quantitative’ metrics—for example, the number of peer-reviewed articles, journal impact factor, and citation rates. This may be because they are well-established measures, relatively easy to capture and objective, and are supported by research funding systems. However, these metrics primarily measure the dissemination of research finding rather than its impact [ 30 , 68 ]. Whilst it is true that wider dissemination, especially when delivered via world-leading international journals, may well lead eventually to changes in healthcare, this is by no means certain. For instance, case studies evaluated by Flinders University of Australia demonstrated that some research projects with non-peer-reviewed publications led to significant changes in health policy, whilst the studies with peer-reviewed publications did not result in any type of impact [ 68 ]. As a result, contemporary literature has tended to advocate the collection of information regarding a variety of different potential forms of impact alongside publication/citations metrics [ 2 , 3 , 5 , 7 , 8 , 29 – 47 ], as outlined in this review.

The 2014 REF exercise adjusted UK university research funding allocation based on evidence of the wider impact of research (through case narrative studies and quantitative metrics), rather than simply according to the quality of research [ 12 ]. The intention was to ensure funds were directed to high-quality research that could demonstrate actual realised benefit. The inclusion of a mixed-method approach to the measurement of impact in the REF (narrative and quantitative metrics) reflects a widespread belief—expressed by the majority of authors of the included methodological frameworks in the review—that individual quantitative impact metrics (e.g., number of citations and publications) do not necessary capture the complexity of the relationships involved in a research project and may exclude measurement of specific aspects of the research pathway [ 10 , 12 ].

Many of the frameworks included in this review advocated the collection of a range of academic, societal, economic, and cultural impact metrics; this is consistent with recent recommendations from the Stern review [ 10 ]. However, a number of these metrics encounter research ‘lag’: i.e., the time between the point at which the research is conducted and when the actual benefits arise [ 69 ]. For instance, some cardiovascular research has taken up to 25 years to generate impact [ 70 ]. Likewise, the impact may not arise exclusively from a single piece of research. Different processes (such as networking interactions and knowledge and research translation) and multiple individuals and organisations are often involved [ 4 , 71 ]. Therefore, attributing the contribution made by each of the different actors involved in the process can be a challenge [ 4 ]. An additional problem associated to attribution is the lack of evidence to link research and impact. The outcomes of research may emerge slowly and be absorbed gradually. Consequently, it is difficult to determine the influence of research in the development of a new policy, practice, or guidelines [ 4 , 23 ].

A further problem is that impact evaluation is conducted ‘ex post’, after the research has concluded. Collecting information retrospectively can be an issue, as the data required might not be available. ‘ex ante’ assessment is vital for funding allocation, as it is necessary to determine the potential forthcoming impact before research is carried out [ 69 ]. Additionally, ex ante evaluation of potential benefit can overcome the issues regarding identifying and capturing evidence, which can be used in the future [ 4 ]. In order to conduct ex ante evaluation of potential benefit, some authors suggest the early involvement of policy makers in a research project coupled with a well-designed strategy of dissemination [ 40 , 69 ].

Providing an alternate view, the authors of methodological frameworks such as the SIAMPI, Contribution Mapping, Research Contribution, and the Exchange model suggest that the problems of attribution are a consequence of assigning the impact of research to a particular impact metric [ 7 , 40 , 42 , 44 ]. To address these issues, these authors propose focusing on the contribution of research through assessing the processes and interactions between stakeholders and researchers, which arguably take into consideration all the processes and actors involved in a research project [ 7 , 40 , 42 , 43 ]. Additionally, contributions highlight the importance of the interactions between stakeholders and researchers from an early stage in the research process, leading to a successful ex ante and ex post evaluation by setting expected impacts and determining how the research outcomes have been utilised, respectively [ 7 , 40 , 42 , 43 ]. However, contribution metrics are generally harder to measure in comparison to academic-orientated indicators [ 72 ].

Currently, there is a debate surrounding the optimal methodological impact framework, and no tool has proven superior to another. The most appropriate methodological framework for a given study will likely depend on stakeholder needs, as each employs different methodologies to assess research impact [ 4 , 37 , 41 ]. This review allows researchers to select individual existing methodological framework components to create a bespoke tool with which to facilitate optimal study design and maximise the potential for impact depending on the characteristic of their study ( Fig 2 and Fig 3 ). For instance, if researchers are interested in assessing how influential their research is on policy making, perhaps considering a suite of the appropriate metrics drawn from multiple methodological frameworks may provide a more comprehensive method than adopting a single methodological framework. In addition, research teams may wish to use a multidimensional approach to methodological framework development, adopting existing narratives and quantitative metrics, as well as elements from contribution frameworks. This approach would arguably present a more comprehensive method of impact assessment; however, further research is warranted to determine its effectiveness [ 4 , 69 , 72 , 73 ].

Finally, it became clear during this review that the included methodological frameworks had been constructed using varied methodological processes. At present, there are no guidelines or consensus around the optimal pathway that should be followed to develop a robust methodological framework. The authors believe this is an area that should be addressed by the research community, to ensure future frameworks are developed using best-practice methodology.

For instance, the Payback Framework drew upon a literature review and was refined through a case study approach. Arguably, this approach could be considered inferior to other methods that involved extensive stakeholder involvement, such as the CIHR framework [ 8 ]. Nonetheless, 7 methodological frameworks were developed based upon the Payback Framework [ 8 , 29 , 31 – 35 ].

Limitations

The present review is the first to summarise systematically existing impact methodological frameworks and metrics. The main limitation is that 50% of the included publications were found through methods other than bibliographic databases searching, indicating poor indexing. Therefore, some relevant articles may not have been included in this review if they failed to indicate the inclusion of a methodological impact framework in their title/abstract. We did, however, make every effort to try to find these potentially hard-to-reach publications, e.g., through forwards/backwards citation searching, hand searching reference lists, and expert communication. Additionally, this review only extracted information regarding the methodology followed to develop each framework from the main publication source or framework webpage. Therefore, further evaluations may not have been included, as they are beyond the scope of the current paper. A further limitation was that although our search strategy did not include language restrictions, we did not specifically search non-English language databases. Thus, we may have failed to identify potentially relevant methodological frameworks that were developed in a non-English language setting.

In conclusion, the measurement of research impact is an essential exercise to help direct the allocation of limited research resources, to maximise benefit, and to help minimise research waste. This review provides a collective summary of existing methodological impact frameworks and metrics, which funders may use to inform the measurement of research impact and researchers may use to inform study design decisions aimed at maximising the short-, medium-, and long-term impact of their research.

Supporting information

S1 appendix. search strategy..

https://doi.org/10.1371/journal.pmed.1002370.s001

S1 PRISMA Checklist. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist.

https://doi.org/10.1371/journal.pmed.1002370.s002

Acknowledgments

We would also like to thank Mrs Susan Bayliss, Information Specialist, University of Birmingham, and Mrs Karen Biddle, Research Secretary, University of Birmingham.

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Physical Activity and Sports—Real Health Benefits: A Review with Insight into the Public Health of Sweden

Christer malm.

1 Sports Medicine Unit, Department of Community Medicine and Rehabilitation, Umeå University, 901 87 Umeå, Sweden; [email protected]

Johan Jakobsson

Andreas isaksson.

2 Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 77 Solna, Sweden; [email protected]

Positive effects from sports are achieved primarily through physical activity, but secondary effects bring health benefits such as psychosocial and personal development and less alcohol consumption. Negative effects, such as the risk of failure, injuries, eating disorders, and burnout, are also apparent. Because physical activity is increasingly conducted in an organized manner, sport’s role in society has become increasingly important over the years, not only for the individual but also for public health. In this paper, we intend to describe sport’s physiological and psychosocial health benefits, stemming both from physical activity and from sport participation per se. This narrative review summarizes research and presents health-related data from Swedish authorities. It is discussed that our daily lives are becoming less physically active, while organized exercise and training increases. Average energy intake is increasing, creating an energy surplus, and thus, we are seeing an increasing number of people who are overweight, which is a strong contributor to health problems. Physical activity and exercise have significant positive effects in preventing or alleviating mental illness, including depressive symptoms and anxiety- or stress-related disease. In conclusion, sports can be evolving, if personal capacities, social situation, and biological and psychological maturation are taken into account. Evidence suggests a dose–response relationship such that being active, even to a modest level, is superior to being inactive or sedentary. Recommendations for healthy sports are summarized.

1. Introduction

Sport is a double-edged sword regarding effects on health. Positive effects are achieved primarily through physical activity, which is the main part of most sports. Many secondary effects of sport also bring health benefits, such as psychosocial development of both young [ 1 ] and old [ 2 ], personal development [ 3 ], later onset, and less consumption of alcohol [ 4 , 5 ]. Finally, those who play sports have a higher level of physical activity later in life [ 6 ], and through sport, knowledge of nutrition, exercise, and health can be developed [ 7 ]. Negative effects include the risk of failure leading to poor mental health [ 8 , 9 ], risk of injury [ 10 , 11 ], eating disorders [ 12 ], burnout [ 13 ], and exercise-induced gastrointestinal tract discomfort [ 14 ]. In sport, there are unfortunately also reports of physical and psychological abuse [ 15 ]. Negative aspects are more common in elite-level sports, where there is a fine balance between maximum performance and negative health. A somewhat unexpected effect of sport participation is that people submitting to planned training in some cases perform less physical activity compared to those who are exercising without a set schedule. One explanation can be a reduced spontaneous physical activity in the latter group [ 16 ]. Because physical activity is increasingly executed in an organized manner [ 17 , 18 , 19 ], sport’s role in society has become increasingly important over the years, not only for the individual but also for public health.

In this paper, we describe the health effects of sport from a physiological and psychological perspective, related both to physical activity and added values of sport per se. Initially, brief definitions of various concepts related to physical activity and health are given. This is then followed by: (1) A brief description of how physical activity and training affect our body from a physiological perspective; (2) a report on the health effects of physical activity and training; and (3) sport’s specific influences on the various dimensions of health. We chose to discuss the subject from an age-related perspective, separating children/adolescents, adults, and the elderly, as well as separating for sex in each age group.

2. Definitions of Physical Activity, Exercise, Training, Sport, and Health

Definitions and terms are based on “Physical activity in the prevention and treatment of disease” (FYSS, www.fyss.se [Swedish] [ 20 ]), World Health Organization (WHO) [ 21 ] and the US Department of Human Services [ 22 ]. The definition of physical activity in FYSS is: “Physical activity is defined purely physiologically, as all body movement that increases energy use beyond resting levels”. Health is defined according to the World Health Organization (WHO) as: “[…] a state of complete physical, mental and social wellbeing and not merely the absence of disease or infirmity” [ 21 ].

Physical activity can occur spontaneously (leisure/work/transport) or organized and be divided according to purpose: Physical exercise is aimed primarily at improving health and physical capacity. Physical training is aimed primarily at increasing the individual’s maximum physical capacity and performance [ 23 ]. Physical inactivity is described as the absence of body movement, when energy consumption approximates resting levels. People who do not meet recommendations for physical activity are considered physically inactive and are sometimes called “sedentary”. Sport can be organized by age, sex, level of ambition, weight or other groupings [ 24 ]. Sport can also be spontaneous [ 7 , 17 ] and defined as a subset of exercises undertaken individually or as a part of a team, where participants have a defined goal [ 7 ]. General recommendations for physical activity are found in Table 1 , not considering everyday activities. One can meet the daily recommendations for physical activity by brief, high-intensity exercise, and remaining physically inactive for the rest of the day, thereby creating a “polarization” of physical activity: Having a high dose of conscious physical training, despite having a low energy expenditure in normal life due to high volumes of sedentary time. Polarization of physical activity may lead to increased risk of poor health despite meeting the recommendations for physical activity [ 25 , 26 , 27 ]. During most of our lives, energy expenditure is greater in normal daily life than in sport, physical training, and exercise, with the exceptions of children and the elderly, where planned physical activity is more important [ 28 ].

Recommendations regarding physical activity for different target groups. Note that additional health effects can be achieved if, in addition to these recommendations, the amount of physical activity increases, either by increasing the intensity or duration or a combination of both.

Compiled from FYSS 2017 ( www.fyss.se ) and WHO 2017 ( www.who.int ).

3. Aerobic and Muscle-Strengthening Physical Activity

Physical activity is categorized according to FYSS as: (1) Aerobic physical activity and (2) muscle-strengthening physical activity. Physical activity in everyday life and exercise training is mainly an aerobic activity, where a majority of energy production occurs via oxygen-dependent pathways. Aerobic physical activity is the type of activity typically associated with stamina, fitness, and the biggest health benefits [ 29 , 30 , 31 ]. Muscle-strengthening physical activity is referred to in everyday language as “strength training” or “resistance training” and is a form of physical exercise/training that is primarily intended to maintain or improve various forms of muscle strength and increase or maintain muscle mass [ 32 ]. Sometimes, another category is defined: Muscle-enhancing physical activity, important for maintenance or improvement of coordination and balance, especially in the elderly [ 33 ]. According to these definitions, muscle-strengthening activities primarily involve the body’s anaerobic (without oxygen) energy systems, proportionally more as intensity increases.

Exercise intensity can be expressed in absolute or relative terms. Absolute intensity means the physical work (for example; Watts [W], kg, or metabolic equivalent [MET]), while relative intensity is measured against the person’s maximum capacity or physiology (for example; percentage of maximum heart rate (%HR), rate of perceived exhaustion (RPE), W·kg −1 or relative oxygen uptake in L·min −1 ·kg −1 (VO 2 )). In terms of recommendations to the public, as in Table 1 , the intensity is often described in subjective terms (“makes you breathe harder” for moderate intensity, and “makes you puff and pant” for vigorous intensity) [ 27 ]. While objective criteria such as heart rate and accelerometry will capture the intensity of activity, they may not distinguish between different types of physical activity behaviors [ 34 ]. FYSS defines low intensity as 20%–39% of VO 2 max, <40 %HR, 1.5–2.9 METs; moderate intensity as 40%–59% of VO 2 max, 60–74 %HR, 3.0–5.9 METs, and vigorous intensity as 60%–89% of VO 2 max, 75–94 %HR, 6.0–8.9 METs. Absolute intensity, however, can vary greatly between individuals where a patient with heart disease may have a maximal capacity of <3 MET, and an elite athlete >20 MET [ 35 ].

4. How does the Body Adapt to Physical Activity and Training?

Adaption to physical activity and training is a complex physiological process, but may, in the context of this paper, be simplified by a fundamental basic principle:” The general adaptation syndrome (GAS)” [ 36 , 37 , 38 ]. This principle assumes that physical activity disturbs the body’s physiological balance, which the body then seeks to restore, all in a dose-related response relationship. The overload principle states that if exercise intensity is too low, overload is not reached to induce desired physiological adaptations, whereas an intensity too high will result in fatigue and possibly overtraining. Thus, for adaptation to occur, greater than normal stress must be induced, interspersed with sufficient recovery periods for restoration of physiological balance [ 39 ]. During and immediately after physical exercise/training, functions of affected tissues and systems are impaired, manifested as temporarily decreased performance. You feel tired. In order to gradually improve performance capacity, repeated cycles of adequate overload and recovery are required [ 40 ]. In practice, positive effects can be seen after a relatively short period of a few weeks, but more substantial improvements if the training is maintained for a longer period.

As a rule of thumb, it is assumed that all people can adapt to physical activity and exercise, but the degree of adaptation depends on many factors, including age, heredity, the environment, and diet [ 41 , 42 , 43 , 44 ]. The hereditary factor (genetics) may be the most critical for adaptation [ 45 ]. The degree of adaptation also depends on how the person in question trained previously; a well-trained athlete usually does not have the same relative improvement as an untrained one. Even if training is thought to be specific to mode, intensity, and duration, there are some overlaps. For example, it has been found that strength training in some individuals contributes to a relatively large positive impact on health and endurance, effects previously associated primarily with aerobic exercise [ 46 , 47 ]. The overload principle may, if applied too vigorously in relation to a person’s individual adaptation ability, have detrimental effects, including reduced performance, injury, overtraining, and disease [ 10 ]. Training is a commodity that must be renewed; otherwise, you gradually lose achieved performance improvements [ 48 ], although some capacities, such as muscle memory, seem to persist for life [ 49 ].

General recommendations for health may be stated, but individual predispositions make general training schedules for specific performance effects unpredictable. All exercise training should be adjusted to individual purposes, goals, and circumstances.

5. Health Effects of Physical Activity and Training

Human biology requires a certain amount of physical activity to maintain good health and wellbeing. Biological adaption to life with less physical activity would take many generations. People living today have, more or less, the same requirements for physical activity as 40,000 years ago [ 50 , 51 ]. For an average man with a body weight of 70 kg, this corresponds to about 19 km daily walking in addition to everyday physical activity [ 52 ]. For most people, daily physical activity decreases, while planned, conscious exercise and training increases [ 19 , 53 ]. Unfortunately, average daily energy intake is increasing more than daily energy output, creating an energy surplus. This is one reason for the increasing number of overweight people, and a strong contributor to many health problems [ 54 ]. More sedentary living (not reaching recommended level of physical activity), combined with increased energy intake, impairs both physical and mental capabilities and increases the risk of disease. Despite this, Swedes (as an example) seemed to be as physically active and stressed but had better general health in 2015, compared to 2004 ( Figure 1 ). Compared to 2004–2007, the Swedish population in 2012–2015 reported better overall health (more county-dots are blue) and less fatigue (smaller county-dots) with similar level of physical activity (~65% indicated at least 30 min daily physical activity) and stress (~13% were stressed).

Selected physical and mental health indicators of a Sweden cohort, in relation to the degree of physical activity for the period of years 2004–2007 ( N = 29,254) and years 2012–2015 ( N = 38,553). Surveyed subjects are age 16 to 84 years old, with data representing median scores of four years, not normalized for age. Y-axis: Percentage of subjects reporting “stressed”; X-axis: Percentage of subjects indicating physical active at least 30 minutes each day. Each dot represents one County (Län), dot-size indicates self-reported fatigue, and color self-reported healthiness of the County. If 70% of the population states they are having “Good/Very good” health, the dot is blue. If less than 70% states they are having good/very good health, the dot is red. The circle indicated with a black arrow corresponds to nation median. The black line connected to the nation circle represents the movement in the X–Y plane from the year 2004 to 2007, and from 2012 to 2015, respectively. Data retrieved from the Public Health Agency of Sweden 2019-04-22 ( www.folkhalsomyndigheten.se ).

Results in Figure 1 may in part be explained by a polarization of who is physically active: Some individuals are extremely active, others very inactive, giving a similar central tendency (mean/median). As physical activity and mental stress are not changed, but health is, the figure indicates that other factors must be more important to our overall health and fatigue. Recently, a national study of Swedish 11- to 15-year-olds concluded that this age group is inactive for most of their time awake, that is, sitting, standing or moving very little [ 55 ]. Time as inactive increased with age, from 67 percent for 11-year-olds to 75 percent for 15-year-olds. The study states that in all age groups, the inactive time is evenly distributed over the week, with school time, leisure time, and weekend. Further, those who feel school-related stress have more inactive time, both overall and during school hours, than those who have less school-related stress.

People active in sports have, in general, better health than those who do not participate in sports, because they are physically and mentally prepared for the challenges of sports, abilities that in many cases can be transferred to other parts of life [ 56 ].

However, there is a certain bias in this statement. Sport practitioners are already positively selected, because sickness and injury may prevent participation. As many health benefits of sport are related to the level of physical activity, separation of sport and physical exercise may be problematic. Regardless, societal benefits of these health effects can be seen in lower morbidity, healthier elderly, and lower medical costs [ 7 , 57 , 58 ].

Health effects of physical activity in many cases follow a dose–response relationship; dose of physical activity is in proportion to the effect on health [ 59 , 60 ]. Figure 2 depicts the relationship between risk of death and level of physical activity, in a Finnish twin cohort, adjusted for smoking, occupational group, and alcohol consumption [ 59 ]. Odds ratio (OR) for the risk of all-cause mortality in a larger sample in the same study was 0.80 for occasional exercisers ( p = 0.002, 95% CI = 0.69–0.91). This dose–response relationship between risk of all-cause mortality and physical activity is evident in several extensive studies [ 60 , 61 , 62 ]. The total dose is determined by the intensity (how strenuous), duration (duration), and frequency (how often). While Figure 2 shows sex differences in death rates, it is likely that sedentary behavior is equally hazardous for men and women, but inconsistent results sometime occur due to inadequate assessment measures, or low statistical power [ 59 , 63 ]. To obtain the best possible development due to physical exercise/training, both for prevention and treatment purposes, a basic understanding of how these variables affect the dose of activity is required, as well as understanding how they can be modified to suit individual requirements. A physically active population is important for the health of both the individual and society, with sport participation being one, increasingly important, motivator for exercise.

Relative risk (odds ratio; OR) of premature death in relationship to level of physical activity, in 286 male and 148 female twin pairs, adjusted for smoking, occupational group, and use of alcohol [ 59 ].

There is strong scientific evidence supporting an association between physical exercise/training and good physical and mental health. For example: A reduction in musculoskeletal disorders and reduced disability due to chronic disease [ 27 , 64 ], better mental health with reduced anxiety [ 65 , 66 ], insomnia [ 67 ], depression [ 31 ], stress [ 68 ], and other psychological disorders [ 69 ]. Physical and mental health problems are related to an increased risk of developing a number of our major public health diseases and may contribute to premature death ( Table 2 ).

Health-related physiological effects of aerobic and muscle strengthening physical activity. Green circle indicates that the activity contributes with an effect, whereas a red circle indicates that the activity has no proven effect. Orange circle indicates that the activity may in some cases be effective.

5.1. Effects on Physical Health

The effects of physical activity and exercise are both acute (during and immediately after) and long-lasting. Effects remaining after a long period of regular physical activity have far-reaching consequences for health and are described below. For example, some muscle enzymes’ activity can be quickly increased by physical exercise/training but just as quickly be lost when idle [ 118 ]. Other changes remain for months or years even if training ends—for instance, increased number and size of muscle fibers and blood vessels [ 49 , 119 , 120 ]. Good health, therefore, requires physical activity to be performed with both progression and continuity. Most of the conducted physical exercise/training is a combination of both aerobic and muscle strengthening exercise, and it can be difficult to distinguish between their health effects ( Table 2 ).

To describe ill-health, indicators of life expectancy, disease incidence (number), and prevalence (how often) are used [ 121 ]. In describing the relationship between physical activity and falling ill with certain diseases, the dose–response relationship, the effect size (the risk reduction that is shown in studies), and the recommended type and dose of physical activity are considered [ 122 ]. Table 3 shows the relative effects of regular physical activity ton the risk of various diseases (US Department of Human Services, 2009). The greatest health gains are for people who move from completely sedentary to moderately active lifestyles, with health effects seen before measurable improvements in physical performance. Previously, most scientific studies collected data only on aerobic physical activity. However, resistance exercise also shows promising health (mental and physical) and disease-prevention effects [ 123 , 124 , 125 , 126 , 127 ].

Disease prevention effects of regular physical activity.

Compiled from US Department of Health and Human Service, https://health.gov/paguidelines/report/ [ 62 , 146 ] 1 : Risk reduction refers to the relative risk in physically active samples in comparison to a non-active sample, i.e., a risk reduction of 20% means that the physically active sample has a relative risk of 0.8, compared to the non-active sample, which has 1.0. 2 : In general, general recommendations for PA that are described and referred to herein apply to most conditions. However, in some cases, more specific recommendations exist, more in depth described by the US Department of Health and Human Service, amongst others [ 62 ]. 3 : Evidence is dependent on cancer subtype; refer to US Department of Health and Human Service [ 62 ] for in-depth guidance. PA = Physical.

Aerobic physical activity has been shown to benefit weight maintenance after prior weight loss, reduce the risk of metabolic syndrome, normalize blood lipids, and help with cancer/cancer-related side effects ( Table 2 and Table 3 ), while effects on chronic pain are not as clear [ 29 ].

Muscle-strengthening physical activity has, in contrast to aerobic exercise, been shown to reduce muscle atrophy [ 128 ], risk of falling [ 75 ], and osteoporosis [ 74 ] in the elderly. Among the elderly, both men and women adapt positively to strength training [ 129 ]. Strength training also prevents obesity [ 130 ], enhances cognitive performance if done alongside aerobic exercise [ 131 ], counteracts the development of neurodegenerative diseases [ 132 , 133 , 134 ], reduces the risk of metabolic syndrome [ 135 ], counteracts cancer/cancer-related side effects [ 135 , 136 ], reduces pain and disability in joint diseases [ 137 ], and enhances bone density [ 137 , 138 ]. The risk of falling increases markedly with age and is partly a result of reduced muscle mass, and reduced coordination and balance [ 76 , 139 , 140 ]. A strong correlation between physical performance, reduced risk of falls, and enhanced quality of life is therefore, not surprisingly, found in older people [ 141 ]. Deterioration in muscle strength, but not muscle mass, increases the risk of premature death [ 142 ] but can be counteracted by exercise as a dose–response relationship describes the strength improvement in the elderly [ 122 , 143 ]. Recommendations state high-intensity strength training (6–8 repetitions at 80% of 1-repetition maximum) as most effective [ 144 ]. Muscle strengthening physical activity for better health is recommended as a complement to aerobic physical activity [ 29 ]. Amongst the elderly, vibration training can be an alternative to increase strength [ 145 ].

5.2. Effects on Mental Health

Mental illness is a global problem affecting millions of people worldwide [ 147 ]. Headache, stress, insomnia, fatigue, and anxiety are all measures of mental ill health. The term “ ill health ” constitutes a collection of several mental health problems and symptoms with various levels of seriousness. Studies have compared expected health benefits from regular physical activity for improvement of mental health with other treatments, for example, medication. Most recent studies show that physical activity and exercise used as a primary, or secondary, processing method have significant positive effects in preventing or alleviating depressive symptoms [ 31 , 148 , 149 , 150 , 151 ] and have an antidepressant effect in people with neurological diseases [ 152 ]. Training and exercise improve the quality of life and coping with stress and strengthen self-esteem and social skills [ 69 , 153 ]. Training and exercise also lessen anxiety in people who are diagnosed with an anxiety- or stress-related disease [ 68 ], improve vocabulary learning [ 154 ], memory [ 155 , 156 ], and creative thinking [ 157 ].

The same Swedish data as used in Figure 1 show that between the years 2004–2007 and 2012–2015 anxiety, worry, and insomnia decreased but were not obviously correlated to the slightly increased level of physical activity in the population during the same period. Thus, in a multifactorial context, the importance of physical exercise alone cannot be demonstrated in this dataset.

Some of the suggested physiological explanations for improved mental health with physical activity and exercise are greater perfusion and increased brain volume [ 107 , 158 ], increased volume of the hippocampus [ 106 ], and the anti-inflammatory effects of physical activity, reducing brain inflammation in neurological diseases [ 159 ]. Physical exercise may also mediate resilience to stress-induced depression via skeletal muscle peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), enhancing kynurenine conversion to kynurenine acid, which in turn protects the brain and reduces the risk for stress-induced depression [ 153 ]. Further, increased release of growth factors, endorphins, and signaling molecules are other exercise-induced enhancers of mental health [ 69 ].

6. How Sport Affects Health

Sport’s main purposes are to promote physical activity and improve motor skills for health and performance and psychosocial development [ 56 ]. Participants also gain a chance to be part of a community, develop new social circles, and create social norms and attitudes. In healthy individuals, and patients with mental illness, sport participation has been shown to provide individuals with a sense of meaning, identity, and belonging [ 160 , 161 ]. Whether the sport movement exists or not, training and competition including physical activity will happen. Sport’s added values, in addition to the health benefits of physical activity, are therefore of interest. Some argue that it is doubtful, or at least not confirmed, that health development can come from sport, while others believe that healthy sport is something other than health, reviewed in depth by Coakley [ 162 ]. In a sporting context, health is defined as subjective (e.g., one feels good), biological (e.g., not being sick), functional (e.g., to perform), and social (e.g., to collaborate) [ 163 ]. Holt [ 56 ] argued that the environment for positive development in young people is distinctly different from an environment for performance, as the latter is based on being measured and assessed. That said, certain skills (goal setting, leadership, etc.) can be transferred from a sporting environment to other areas of life. The best way to transfer these abilities is, at the moment, unclear.

Having the goal to win at all costs can be detrimental to health. This is especially true for children and adolescents, as early engagement in elite sports increases the risk of injury, promotes one-dimensional functional development, leads to overtraining, creates distorted social norms, risks psychosocial disorders, and has the risk of physical and psychological abuse [ 15 , 164 ]. Of great importance, therefore, is sport’s goal of healthy performance development, starting at an early age. For older people, a strong motivating factor to conduct physical activity is sports club membership [ 165 ]. One can summarize these findings by stating sport’s utility at the transition between different stages of the life; from youth to adulthood and from adulthood to old age. There, sports can be a resource for good physical and mental health [ 166 ].

Today, a higher proportion of the population, compared to 50 years ago, is engaged in organized sports, and to a lesser extent performs spontaneous sports ( Figure 3 ), something that Engström showed in 2004 [ 17 ] and is confirmed by data from The Swedish Sports Confederation ( www.rf.se ). Of the surveyed individuals in 2001, 50%–60% of children and young people said they were active in a sports club. The trend has continued showing similar progression to 2011, with up to 70% of school students playing sports in a club. Furthermore, the study shows that those active in sport clubs also spontaneously do more sports [ 167 ]. Similar data from the years 2007–2018, compiled from open sources at The Swedish Sports Confederation, confirm the trend with an even higher share of youths participating in organized sports, compared to 1968 and 2001 ( Figure 4 ).

Spontaneous sport has decreased over the last decades, to the advantage of organized sport. Data compiled from Engström, 2004, The Swedish Research Council for Sport Science.

Data compiled from open sources report Sport Statistics (Idrotten i siffror) at The Swedish Sports Confederation for the year 2011 ( www.rf.se ).

Taking part in sports can be an important motivator for physical activity for older people [ 165 , 166 ]. With aging, both participation in sports ( Figure 4 ) and physical activity in everyday life [ 168 ] decreases. At the same time, the number of people who are physically active both in leisure and in organized sports increases (The Public Health Agency of Sweden 2017; www.folkhalsomyndigheten.se ). Consequently, among elderly people, a greater proportion of the physical activity occurs within the context of sport [ 8 , 28 ]. Together, research shows that organized sports, in clubs or companies, are more important for people’s overall physical activity than ever before. Groups that are usually less physically active can be motivated through sport—for example, elderly men in sport supporters’ clubs [ 169 ], people in rural areas [ 170 ], migrants [ 171 ], and people with alternative physical and mental functions [ 172 ]. No matter how you get your sporting interest, it is important to establish a physical foundation at an early age to live in good health when you get older ( Figure 5 ). As seen in Figure 5 , a greater sport habitus at age 15 results in higher physical activity at 53 years of age. Early training and exposure to various forms of sports are therefore of great importance. Participation creates an identity, setting the stage for a high degree of physical activity later in life [ 173 ].

Odds ratio (OR) of physical activity at age 53 in relation to Sport habitus at age 15. Sport habitus (“the total physical capital"), including cultural capital, athletic diversity, and grades in physical education and health are, according to Engström [ 173 ], the factors most important for being physically active in later life. For a further discussion on sport habitus, the readers are referred to Engström, 2008 [ 173 ]. Numbers above bar show the 95% confidence interval. ** = significant difference from “Very low”, p < 0.01. *** = p < 0.001.

7. Sport’s Effects on the Health of Children and Young People

The effects of participation in organized sports for children and young people are directly linked to physical activity, with long term secondary effects; an active lifestyle at a young age fosters a more active lifestyle as an adult. As many diseases that are positively affected by physical activity/exercise appear later in life, continued participation in sport as an adult will reduce morbidity and mortality.

It must be emphasized that good physical and mental health of children and young people participating in sport requires knowledge and organization based on everyone’s participation. Early specialization counteracts, in all regards, both health and performance development [ 174 , 175 ].

7.1. Positive Aspects

According to several reviews, there is a correlation between high daily physical activity in children and a low risk for obesity, improved development of motor and cognitive skills, as well as a stronger skeleton [ 176 , 177 ]. Positive effects on lipidemia, blood pressure, oxygen consumption, body composition, metabolic syndrome, bone density and depression, increased muscle strength, and reduced damage to the skeleton and muscles are also described [ 178 , 179 ]. If many aspects are merged in a multidimensional analysis [ 8 , 173 ], the factors important for future good health are shown to be training in sports, broad exposure to different sports, high school grades, cultural capital, and that one takes part in sport throughout childhood ( Table 4 ).

Compiled health profiles for men and women at the age of 20 years, depending on participation in organized sports at the age of 5, 7, 8, 10, 14, and 17 years.

Classification with repeated latent class analysis creates three groups for girls and boys, respectively: Children who never participated (girls only), participated, quit prematurely, or began late (only boys) in sports. Arrows indicate whether participation in sports at young age has an effect on health at 20 years of age. Green up arrow is positive, red down arrow negative, and a horizontal black double arrow shows that sport had no significant effect. Modified from Howie et. al., 2016 [ 8 ].

Psychological benefits of sports participation of young people were compiled by Eime et al. [ 1 ], where the conclusion was that sporting children have better self-esteem, less depression, and better overall psychosocial health. One problem with most of these studies, though, is that they are cross-sectional studies, which means that no cause–effect relationship can be determined. As there is a bias for participating children towards coming from socially secure environments, the results may be somewhat skewed.

7.2. Negative Aspects

As Table 4 and Table 5 show, there are both positive and negative aspects of sports. Within children’s and youth sports, early specialization to a specific sport is a common phenomenon [ 175 ]. There is no scientific evidence that early specialization would have positive impact, neither for health nor for performance later in life [ 175 ]. No model or method including performance at a young age can predict elite performance as an adult. By contrast, specialization and competitiveness can lead to injury, overtraining, increased psychological stress, and reduced training motivation, just to mention a few amongst many negative aspects [ 174 , 175 ]. Another important aspect is that those who are excluded from sports feel mentally worse [ 8 ]. As there is a relationship between depressive episodes in adolescence, and depression as adults [ 116 ], early exclusion has far-reaching consequences. Therefore, sports for children and young people have future health benefits by reducing the risk of developing depression and depressive symptoms, as well as improved wellbeing throughout life.

Positive and negative aspects with sport (at young age).

While some degree of sport specialization is necessary to develop elite-level athletes, research shows clear adverse health effects of early specialization and talent selection [ 180 ]. More children born during the fall and winter (September–December) are excluded [ 181 ], and as a group, they are less physically active than spring (January–April) children, both in sports and leisure ( Figure 6 ). In most sports and in most countries, there is a skewed distribution of participants when sorted by birth-date, and there are more spring children than fall children among those who are involved in sport [ 182 , 183 , 184 , 185 , 186 ]. Because a large part of the physical activity takes place in an organized form, this leads to lower levels of physical activity for late-born persons (Malm, Jakobsson, and Julin, unpublished data). Early orientation and training in physical activity and exercise will determine how active you are later in life. Greater attention must be given to stimulating as many children and young people as possible to participate in sport as long as possible, both in school and on their leisure time. According to statistics from the Swedish Sports Confederation in 2016, this relative-age effect persists throughout life, despite more starting than ending with sport each year [ 18 ].

The figure shows the distribution of 7597 children aged 10 years and younger who in 2014 were registered as active in one particular, individual sport in Sweden (data compiled from the Swedish Sport Confederation, www.rf.se ). Spring, Summer, and Fall represent January–April, May–August, and September–December, respectively.

When summarize, the positive and negative aspects of sport at a young age can be divided into three categories: (1) Personal identification, (2) social competence, and (3) physiological capacity, briefly summarized in Table 5 . A comprehensive analysis of what is now popularly known as “physical literacy” has recently been published [ 187 ].

7.3. Relevance of Sports

Sports can make children and young people develop both physically and mentally and contribute with health benefits if planned and executed exercise/training considers the person’s own capacities, social situation, and biological as well as psychological maturation. In children and adolescents, it is especially important to prevent sports-related injuries and health problems, as a number of these problems are likely to remain long into adulthood, sometimes for life. Comprehensive training is recommended, which does not necessarily mean that you have to participate in various sports. What is required is diverse training within every sport and club. Research shows that participation in various sports simultaneously during childhood and adolescence is most favorable for healthy and lifelong participation [ 8 , 173 , 188 , 189 ].

8. Sport’s Effects on the Health of Adults and the Elderly

Adults who stop participating in sports reduce their physical activity and have health risks equal to people who have neither done sports nor been physical [ 190 , 191 ]. Lack of adherence to exercise programs is a significant hindrance in achieving health goals and general physical activity recommendations in adults and the elderly [ 192 ]. While several socioeconomic factors are related to exercise adherence, it is imperative that trainers and health care providers are informed about factors that can be modulated, such as intervention intensity (not to high), duration (not too long), and supervision, important for higher adherence, addressed more in depth by Rivera-Torres, Fahey and Rivera [ 192 ].

Healthy aging is dependent on many factors, such as the absence of disease, good physical and mental health, and social commitment (especially through team sports or group activities) [ 193 ]. Increased morbidity with age may be partly linked to decreased physical activity. Thus, remaining or becoming active later in life is strongly associated with healthy aging [ 194 ]. With increased age, there is less involvement in training and competition ( Figure 4 ), and only 20% of adults in Sweden are active, at least to some extent, in sports clubs, and the largest proportion of adults who exercise do it on their own. The following sections describes effects beyond what is already provided for children and youths.

8.1. Positive Aspects

Participation in sports, with or without competition, promotes healthy behavior and a better quality of life [ 166 ]. Exclusion from sports at a young age appears to have long-term consequences, as the previously described relative age effect ( Figure 6 ) remains even for master athletes (Malm, Jakobsson, and Julin, unpublished data). Because master athletes show better health than their peers [ 95 ], actions should be taken to include adults and elderly individuals who earlier in life were excluded from, or never started with sport [ 195 ]. As we age, physical activity at a health-enhancing intensity is not enough to maintain all functions. Higher intensity is required, best comprising competition-oriented training [ 196 , 197 ]. One should not assume that high-intensity exercise cannot be initiated by the elderly [ 198 ]. Competitive sports, or training like a competitive athlete as an adult, can be one important factor to counter the loss of physical ability with aging [ 199 ]. In this context, golf can be one example of a safe form of exercise with high adherence for older adults and the elderly, resulting in increased aerobic performance, metabolic function, and trunk strength [ 200 , 201 ].

8.2. Negative Aspects

Increased morbidity (e.g., cardiovascular disease) with aging is seen also among older athletes [ 202 ] and is associated with the same risk factors as in the general population [ 203 ]. An increased risk of cardiovascular disease among adults (master) compared to other populations has been found [ 204 ]. Unfortunately, the designs and interpretations of these studies have been criticized, and the incidence of cardiac arrest in older athletes is unclear [ 205 ]. In this context, the difference between competitive sports aiming to optimize performance and recreational sports has to be taken into account, where the former is more likely to induce negative effects due to high training loads and/or impacts during training and games. Although high-intensity training even for older athletes is positive for aerobic performance, it does not prevent the loss of motor units [ 206 ].

Quality of life is higher in sporting adults compared to those who do not play sports, but so is the risk of injury. When hit by injury, adults and young alike may suffer from psychological disorders such as depression [ 207 ], but with a longer recovery time in older individuals [ 208 ]. As with young athletes, secession of training at age 50 years and above reduces blood flow in the brain, including the hippocampus, possibly related to long-term decline in mental capacity [ 209 ].

8.3. Relevance of Sport

As for children and young people, many positive health aspects come through sport also for adults and the elderly [ 210 ]. Sport builds bridges between generations, a potential but not elucidated drive for adults’ motivation for physical activity. The percentage of adults participating in competitive sports has increased in Sweden since 2010, from about 20 percent to 30 percent of all of those who are physically active [ 18 ], a trend that most likely provides better health for the group in the 30–40 age group and generations to come.

9. Recommendations for Healthy Sport

• 1. Plan exercise, rest, and social life. For health-promoting and healthy-aging physical activity, refer to general guidelines summarized in this paper: Aerobic exercise three times a week, muscle-strengthening exercise 2–3 times a week.
• 2. Set long-term goals.
• 3. Adopt a holistic performance development including physiological, medical, mental, and psychosocial aspects.
• ○ a. Exercise load (time, intensity, volume);
• ○ b. Recovery (sleep, resting heart rate, appetite, estimated fatigue, etc.);
• ○ c. Sickness (when–where–how, type of infections, how long one is ill, etc.);
• ○ d. Repeat type- and age-specific physical tests with relevant evaluation and feedback;
• ○ e. Frequency of injuries and causes.
• ○ a. Motivation for training, competition, and socializing;
• ○ b. Personal perception of stress, anxiety, depression, alienation, and self-belief;
• ○ c. Repeat type- and age-specific psychological tests with relevant evaluation and feedback.
• 6. Register and interpret signs of overtraining, such as reduced performance over time, while maintaining or increasing exercise load.

Author Contributions

C.M. and A.J. conceived and designed the review. C.M., A.J., J.J. and interpreted the data and drafted the manuscript. J.J. edited the manuscript, tables, and figures. All authors approved the final version.

This work was supported by the Swedish Sports Confederation.

Conflicts of Interest

The authors declare no conflict of interest.

Equity and Efficiency in Technology Adoption: Evidence from Digital Health

Digital technologies are bringing vast improvements to modern society but also carry the risk of perpetuating disparities if adopted at lower rates by underserved communities. We investigate the efficiency and equity aspects of technological advancement in digital health by studying an intervention of “remote patient monitoring” that enabled patients to transmit real-time clinical data for timely treatment. The program was deployed at the Academic Medical Center UC San Diego Health among a diverse population of patients and targeted hypertension management to reduce the risk of cardiovascular disease. From an efficiency standpoint, we find significant and persistent reductions in cardiovascular risk, which are notable across all subgroups of gender, age, race/ethnicity, and geographic affluence. Evidence suggests both reduced frictions in the provision of care and improved health behaviors as mechanisms. The program also led to significant reductions in healthcare utilization costs from improved hypertension control. From an equity standpoint, however, we find that the longer-run health gains from the program fell short among underserved patient subpopulations, inducing inequities in the reductions in cardiovascular risk. The new technology was systematically adopted at lower rates by Black/Hispanic patients and by patients from disadvantaged geographic communities, who were less likely to either take up or adhere to the program. Overall, our analysis highlights the simultaneous promise and hazards of digital health technologies. We further provide evidence that primary care physicians and the nature of their relationship with patients can have a promising role in promoting greater and more equitable adoption of digital health.

We thank Alanna Andrews, Victoria Harris, Jamie Kwak, Loc Le, Veronica Lowry, Samantha Madonis, Kevin Morris, Jeffery Mueller, Jeffrey Pan, Russell Shimada, Nathan Timmerman, and Eric Williamson at UC San Diego Health and the Center for Health Innovation for their continuous supportive efforts in providing information on the remote patient monitoring program and constructing the datasets used in this study. We thank Jeff Clemens, Julie Cullen, Michael Frakes, Adriana Lleras-Muney, Matthew Notowidigdo, Kosali Simon, Jon Skinner, and seminar participants at UCSD, the 2023 NBER Racial and Ethnic Health Disparities meeting, the 2023 CEPRA/NBER Workshop on Aging and Health, and the 2024 North American Winter Meeting of the Econometric Society at the Annual ASSA meeting for helpful comments and suggestions. Philip Nye provided excellent research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

MARC RIS BibTeΧ

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151+ Public Health Research Topics [Updated 2024]

The important area of public health research is essential to forming laws, influencing medical procedures, and eventually enhancing community well-being. As we delve into the vast landscape of public health research topics, it’s essential to understand the profound impact they have on society.

This blog aims to provide a comprehensive guide to selecting and understanding the diverse array of public health research topics.

Overview of Public Health Research Topics

Table of Contents

Public health research encompasses a wide range of subjects, reflecting the interdisciplinary nature of the field. From epidemiology and health policy to environmental health and infectious diseases, researchers navigate through various dimensions to address complex health challenges.

Each category holds its own significance, contributing to the overall understanding of public health dynamics.

Key Considerations in Selecting Public Health Research Topics

• Current Relevance: Assess the timeliness of potential topics by considering recent health trends, emerging issues, and societal concerns.
• Impact on Public Health: Evaluate the potential impact of the research on improving health outcomes, addressing disparities, or influencing policy and interventions.
• Feasibility and Resources: Gauge the practicality of conducting research on a particular topic, considering available resources, data accessibility, and research infrastructure.
• Ethical Considerations: Scrutinize the ethical implications of the research, ensuring it aligns with ethical standards and guidelines, especially when dealing with vulnerable populations or sensitive topics.

Top 151+ Public Health Research Topics

Epidemiology.

• The Impact of Social Determinants on Disease Outcomes
• Patterns and Trends in Emerging Infectious Diseases
• Investigating Health Disparities among Different Ethnic Groups
• Childhood Obesity and its Long-Term Health Consequences
• Assessing the Effectiveness of Contact Tracing in Disease Control

Health Policy

• Universal Healthcare: Comparative Analysis of Global Models
• The Role of Telemedicine in Improving Healthcare Access
• Evaluating Mental Health Policies and Their Impact on Communities
• Assessing the Impact of Affordable Care Act on Public Health
• Vaccine Policies and Public Perception: A Comprehensive Study

Environmental Health

• Climate Change and Health: Adapting to the Challenges
• Air Quality and Respiratory Health in Urban Environments
• Waterborne Diseases and Strategies for Safe Water Supply
• Occupational Health Hazards: A Comprehensive Workplace Analysis
• The Impact of Green Spaces on Mental Health in Urban Areas

Infectious Diseases

• Antimicrobial Resistance: Strategies for Mitigation
• Vaccination Strategies and Herd Immunity
• Global Health Security: Preparedness for Pandemics
• The Impact of Vector-Borne Diseases on Public Health
• Emerging Trends in Antibiotic-Resistant Infections

Chronic Diseases

• Lifestyle Interventions for Preventing Cardiovascular Diseases
• Genetic Factors in the Development of Cancer: A Comprehensive Study
• Aging and Health: Addressing the Healthcare Needs of the Elderly
• Diabetes Prevention Programs: Efficacy and Implementation
• Mental Health in Chronic Disease Patients: Bridging the Gap

Maternal and Child Health

• Maternal Mortality: Understanding Causes and Prevention
• The Impact of Breastfeeding on Infant Health and Development
• Childhood Immunization: Barriers and Strategies for Improvement
• Teenage Pregnancy and Its Long-Term Health Consequences
• Mental Health Support for Postpartum Women: Current Gaps and Solutions

Health Behavior and Promotion

• Smoking Cessation Programs: Effectiveness and Challenges
• Physical Activity Promotion in Schools: Strategies for Success
• Nutrition Education and Its Impact on Healthy Eating Habits
• Mental Health Awareness Campaigns: Assessing Public Perceptions
• The Role of Social Media in Health Promotion

Global Health

• Assessing the Impact of International Aid on Global Health
• Water, Sanitation, and Hygiene (WASH) Programs in Developing Countries
• The Role of Non-Governmental Organizations in Global Health
• Communicable Disease Control in Refugee Populations
• Global Access to Essential Medicines: Challenges and Solutions

Community Health

• Community-Based Participatory Research: Best Practices and Challenges
• The Impact of Community Health Workers on Health Outcomes
• Health Literacy and its Relationship to Health Disparities
• Assessing the Effectiveness of Mobile Health (mHealth) Interventions
• Community Resilience in the Face of Public Health Crises

Healthcare Quality and Patient Safety

• Hospital-Acquired Infections: Strategies for Prevention
• Patient Safety Culture in Healthcare Organizations
• Quality Improvement Initiatives in Primary Care Settings
• Healthcare Accreditation: Impact on Patient Outcomes
• Implementing Electronic Health Records: Challenges and Benefits

Mental Health

• Stigma Reduction Programs for Mental Health Disorders
• Integrating Mental Health into Primary Care Settings
• The Impact of COVID-19 on Mental Health: Long-Term Implications
• Mental Health in the Workplace: Strategies for Employee Well-being
• Suicide Prevention Programs: Effectiveness and Outreach

Health Disparities

• Racial Disparities in Healthcare: Addressing Systemic Inequities
• LGBTQ+ Health Disparities and Inclusive Healthcare Practices
• Socioeconomic Status and Access to Healthcare Services
• Geographical Disparities in Health: Rural vs. Urban
• The Impact of Gender on Health Outcomes and Access to Care

Public Health Education

• Evaluation of Public Health Education Programs
• Innovative Approaches to Teaching Public Health Concepts
• Online Health Education Platforms: Opportunities and Challenges
• Interdisciplinary Training in Public Health: Bridging Gaps
• Continuing Education for Public Health Professionals: Current Landscape

Digital Health

• The Role of Wearable Devices in Health Monitoring
• Telehealth Adoption: Barriers and Opportunities
• Health Apps for Chronic Disease Management: User Perspectives
• Blockchain Technology in Healthcare: Privacy and Security Implications
• Artificial Intelligence in Disease Diagnosis and Prediction

Health Economics

• Cost-Effectiveness of Preventive Health Interventions
• The Impact of Healthcare Financing Models on Access to Care
• Pharmaceutical Pricing and Access to Essential Medicines
• Economic Evaluation of Health Promotion Programs
• Health Insurance Coverage and Health Outcomes: A Global Perspective

Innovations in Public Health

• 3D Printing in Healthcare: Applications and Future Prospects
• Gene Editing Technologies and their Ethical Implications
• Smart Cities and Public Health: Integrating Technology for Well-being
• Nanotechnology in Medicine: Potential for Disease Treatment
• The Role of Drones in Public Health: Surveillance and Intervention

Food Safety and Nutrition

• Foodborne Illness Outbreaks: Investigating Causes and Prevention
• Sustainable Food Systems: Implications for Public Health
• Nutritional Interventions for Malnutrition in Developing Countries
• Food Labeling and Consumer Understanding: A Critical Review
• The Impact of Fast Food Consumption on Public Health

Substance Abuse

• Opioid Epidemic: Strategies for Prevention and Treatment
• Harm Reduction Approaches in Substance Abuse Programs
• Alcohol Consumption Patterns and Public Health Outcomes
• Smoking and Mental Health: Exploring the Connection
• Novel Psychoactive Substances: Emerging Threats and Strategies

Occupational Health

• Workplace Stress and Mental Health: Intervention Strategies
• Occupational Hazards in Healthcare Professions: A Comparative Analysis
• Ergonomics in the Workplace: Improving Worker Health and Productivity
• Night Shift Work and Health Consequences: Addressing Challenges
• Occupational Health and Safety Regulations: A Global Overview

Disaster Preparedness and Response

• Pandemic Preparedness and Lessons from COVID-19
• Natural Disasters and Mental Health: Post-Traumatic Stress
• Emergency Response Systems: Improving Timeliness and Efficiency
• Communicating Health Risks During Emergencies: Public Perception
• Collaborative Approaches to Disaster Response in Global Health

Cancer Research

• Precision Medicine in Cancer Treatment: Current Advancements
• Cancer Screening Programs: Efficacy and Challenges
• Environmental Factors and Cancer Risk: Exploring Connections
• Survivorship Care Plans: Enhancing Quality of Life after Cancer
• Integrative Therapies in Cancer Care: Complementary Approaches

Sexual and Reproductive Health

• Access to Contraception in Developing Countries: Challenges and Solutions
• Comprehensive Sex Education Programs: Impact on Teen Pregnancy
• Reproductive Health Rights: Global Perspectives and Challenges
• Infertility Treatment: Ethical Considerations and Societal Impact
• Maternal and Child Health in Conflict Zones: Addressing Challenges

Cardiovascular Health

• Hypertension Prevention Programs: Strategies and Effectiveness
• Cardiovascular Disease in Women: Gender-Specific Risk Factors
• Innovations in Cardiac Rehabilitation Programs
• Artificial Heart Technology: Advancements and Ethical Implications
• Impact of Air Pollution on Cardiovascular Health: A Global Concern

Social Determinants of Health

• Educational Attainment and Health Outcomes: Exploring Links
• Income Inequality and its Impact on Population Health
• Social Support Networks and Mental Health: A Comprehensive Study
• Neighborhood Environments and Health Disparities
• Employment and Health: The Interplay of Work and Well-being

Genomics and Public Health

• Population Genomics and its Implications for Public Health
• Genetic Counseling and Education: Empowering Individuals and Families
• Ethical Issues in Genetic Research: Privacy and Informed Consent
• Pharmacogenomics: Tailoring Drug Therapies to Individual Genotypes
• Gene-Environment Interactions in Disease Risk: Unraveling Complexities

Public Health Ethics

• Informed Consent in Public Health Research: Current Practices
• Ethical Challenges in Global Health Research: Balancing Priorities
• Confidentiality in Public Health Reporting: Striking the Right Balance
• Research with Vulnerable Populations: Ethical Considerations
• Ethical Implications of Emerging Technologies in Healthcare

Health Communication

• The Role of Media in Shaping Public Health Perceptions
• Health Literacy Interventions: Improving Understanding of Health Information
• Social Media Campaigns for Public Health Promotion: Best Practices
• Tailoring Health Messages for Diverse Audiences: Cultural Competency
• Risk Communication in Public Health Emergencies: Lessons Learned

Nutrigenomics

• Personalized Nutrition Plans based on Genetic Makeup
• Impact of Nutrigenomics on Chronic Disease Prevention
• Ethical Considerations in Nutrigenomics Research
• Public Perceptions of Nutrigenomic Testing: A Qualitative Study
• Integrating Nutrigenomics into Public Health Policies

Public Health and Artificial Intelligence

• Predictive Analytics in Disease Surveillance: Harnessing AI for Early Detection
• Ethical Considerations in AI-Driven Health Decision Support Systems
• Machine Learning in Epidemiology: Predicting Disease Outbreaks
• Natural Language Processing in Public Health: Text Mining for Insights
• Bias in AI Algorithms: Implications for Health Equity

Health Disparities in Aging

• Geriatric Health Disparities: Bridging the Gap in Elderly Care
• Ageism in Healthcare: Addressing Stereotypes and Discrimination
• Social Isolation and Health Consequences in Aging Populations
• Access to Palliative Care for Older Adults: A Global Perspective
• Alzheimer’s Disease and Ethnic Disparities in Diagnosis and Treatment
• Loneliness and Mental Health in the Elderly: Interventions and Support

Research Methodologies in Public Health

Public health research employs various methodologies, including quantitative, qualitative, and mixed-methods approaches. Each method brings its own strengths to the research process, allowing researchers to gain a comprehensive understanding of the complex issues they investigate. 

Community-based participatory research is another valuable approach, emphasizing collaboration with communities to address their specific health concerns.

Challenges and Opportunities in Public Health Research

While public health research is immensely rewarding, it comes with its own set of challenges. Funding constraints, ethical dilemmas, the need for interdisciplinary collaboration, and the integration of technology pose both obstacles and opportunities. 

Researchers must navigate these challenges to ensure their work has a meaningful impact on public health.

In conclusion, public health research topics are diverse and dynamic, reflecting the complex nature of the field. As researchers embark on their journeys, they must carefully consider the relevance, impact, and ethical implications of their chosen topics. 

The collaborative and interdisciplinary nature of public health research positions it as a powerful tool in addressing the health challenges of our time. By exploring the depths of these topics, researchers contribute to the collective effort to build healthier and more equitable communities. 

As we move forward, a continued exploration of relevant public health research topics is essential for shaping the future of healthcare and improving the well-being of populations worldwide.

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77 interesting medical research topics for 2024

Last updated

25 November 2023

Reviewed by

Brittany Ferri, PhD, OTR/L

Short on time? Get an AI generated summary of this article instead

Medical research is the gateway to improved patient care and expanding our available treatment options. However, finding a relevant and compelling research topic can be challenging.

Use this article as a jumping-off point to select an interesting medical research topic for your next paper or clinical study.

• How to choose a medical research topic

When choosing a research topic , it’s essential to consider a couple of things. What topics interest you? What unanswered questions do you want to address? 

During the decision-making and brainstorming process, here are a few helpful tips to help you pick the right medical research topic:

Focus on a particular field of study

The best medical research is specific to a particular area. Generalized studies are often too broad to produce meaningful results, so we advise picking a specific niche early in the process. 

Maybe a certain topic interests you, or your industry knowledge reveals areas of need.

Look into commonly researched topics

Once you’ve chosen your research field, do some preliminary research. What have other academics done in their papers and projects? 

From this list, you can focus on specific topics that interest you without accidentally creating a copycat project. This groundwork will also help you uncover any literature gaps—those may be beneficial areas for research.

Get curious and ask questions

Now you can get curious. Ask questions that start with why, how, or what. These questions are the starting point of your project design and will act as your guiding light throughout the process. 

For example: 

What impact does pollution have on children’s lung function in inner-city neighborhoods? 

Why is pollution-based asthma on the rise? 

How can we address pollution-induced asthma in young children? 

• 77 medical research topics worth exploring in 2023

Need some research inspiration for your upcoming paper or clinical study? We’ve compiled a list of 77 topical and in-demand medical research ideas. Let’s take a look. 

• Exciting new medical research topics

If you want to study cutting-edge topics, here are some exciting options:

COVID-19 and long COVID symptoms

Since 2020, COVID-19 has been a hot-button topic in medicine, along with the long-term symptoms in those with a history of COVID-19. 

Examples of COVID-19-related research topics worth exploring include:

The long-term impact of COVID-19 on cardiac and respiratory health

COVID-19 vaccination rates

The evolution of COVID-19 symptoms over time

New variants and strains of the COVID-19 virus

Changes in social behavior and public health regulations amid COVID-19

Vaccinations

Finding ways to cure or reduce the disease burden of chronic infectious diseases is a crucial research area. Vaccination is a powerful option and a great topic to research. 

Examples of vaccination-related research topics include:

mRNA vaccines for viral infections

Biomaterial vaccination capabilities

Vaccination rates based on location, ethnicity, or age

Public opinion about vaccination safety 

Artificial tissues fabrication

With the need for donor organs increasing, finding ways to fabricate artificial bioactive tissues (and possibly organs) is a popular research area. 

Examples of artificial tissue-related research topics you can study include:

The viability of artificially printed tissues

Tissue substrate and building block material studies

The ethics and efficacy of artificial tissue creation

• Medical research topics for medical students

For many medical students, research is a big driver for entering healthcare. If you’re a medical student looking for a research topic, here are some great ideas to work from:

Sleep disorders

Poor sleep quality is a growing problem, and it can significantly impact a person’s overall health. 

Examples of sleep disorder-related research topics include:

How stress affects sleep quality

The prevalence and impact of insomnia on patients with mental health conditions

Possible triggers for sleep disorder development

The impact of poor sleep quality on psychological and physical health

How melatonin supplements impact sleep quality

Alzheimer’s and dementia 

Cognitive conditions like dementia and Alzheimer’s disease are on the rise worldwide. They currently have no cure. As a result, research about these topics is in high demand. 

Examples of dementia-related research topics you could explore include:

The prevalence of Alzheimer’s disease in a chosen population

Early onset symptoms of dementia

Possible triggers or causes of cognitive decline with age

Treatment options for dementia-like conditions

The mental and physical burden of caregiving for patients with dementia

• Lifestyle habits and public health

Modern lifestyles have profoundly impacted the average person’s daily habits, and plenty of interesting topics explore its effects. 

Examples of lifestyle and public health-related research topics include:

The nutritional intake of college students

The impact of chronic work stress on overall health

The rise of upper back and neck pain from laptop use

Prevalence and cause of repetitive strain injuries (RSI)

• Controversial medical research paper topics

Medical research is a hotbed of controversial topics, content, and areas of study. 

If you want to explore a more niche (and attention-grabbing) concept, here are some controversial medical research topics worth looking into:

The benefits and risks of medical cannabis

Depending on where you live, the legalization and use of cannabis for medical conditions is controversial for the general public and healthcare providers.

Examples of medical cannabis-related research topics that might grab your attention include:

The legalization process of medical cannabis

The impact of cannabis use on developmental milestones in youth users

Cannabis and mental health diagnoses

CBD’s impact on chronic pain

Prevalence of cannabis use in young people

The impact of maternal cannabis use on fetal development 

Understanding how THC impacts cognitive function

Human genetics

The Human Genome Project identified, mapped, and sequenced all human DNA genes. Its completion in 2003 opened up a world of exciting and controversial studies in human genetics.

Examples of human genetics-related research topics worth delving into include:

Medical genetics and the incidence of genetic-based health disorders

Behavioral genetics differences between identical twins

Genetic risk factors for neurodegenerative disorders

Machine learning technologies for genetic research

Sexual health studies

Human sexuality and sexual health are important (yet often stigmatized) medical topics that need new research and analysis.

As a diverse field ranging from sexual orientation studies to sexual pathophysiology, examples of sexual health-related research topics include:

The incidence of sexually transmitted infections within a chosen population

Mental health conditions within the LGBTQIA+ community

The impact of untreated sexually transmitted infections

Access to safe sex resources (condoms, dental dams, etc.) in rural areas

• Health and wellness research topics

Human wellness and health are trendy topics in modern medicine as more people are interested in finding natural ways to live healthier lifestyles. 

If this field of study interests you, here are some big topics in the wellness space:

Gluten sensitivity

Gluten allergies and intolerances have risen over the past few decades. If you’re interested in exploring this topic, your options range in severity from mild gastrointestinal symptoms to full-blown anaphylaxis. 

Some examples of gluten sensitivity-related research topics include:

The pathophysiology and incidence of Celiac disease

Early onset symptoms of gluten intolerance

The prevalence of gluten allergies within a set population

Gluten allergies and the incidence of other gastrointestinal health conditions

Pollution and lung health

Living in large urban cities means regular exposure to high levels of pollutants. 

As more people become interested in protecting their lung health, examples of impactful lung health and pollution-related research topics include:

The extent of pollution in densely packed urban areas

The prevalence of pollution-based asthma in a set population

Lung capacity and function in young people

The benefits and risks of steroid therapy for asthma

Pollution risks based on geographical location

Plant-based diets

Plant-based diets like vegan and paleo diets are emerging trends in healthcare due to their limited supporting research. 

If you’re interested in learning more about the potential benefits or risks of holistic, diet-based medicine, examples of plant-based diet research topics to explore include:

Vegan and plant-based diets as part of disease management

Potential risks and benefits of specific plant-based diets

Plant-based diets and their impact on body mass index

The effect of diet and lifestyle on chronic disease management

Health supplements

Supplements are a multi-billion dollar industry. Many health-conscious people take supplements, including vitamins, minerals, herbal medicine, and more. 

Examples of health supplement-related research topics worth investigating include:

Omega-3 fish oil safety and efficacy for cardiac patients

The benefits and risks of regular vitamin D supplementation

Health supplementation regulation and product quality

The impact of social influencer marketing on consumer supplement practices

Analyzing added ingredients in protein powders

• Healthcare research topics

Working within the healthcare industry means you have insider knowledge and opportunity. Maybe you’d like to research the overall system, administration, and inherent biases that disrupt access to quality care. 

While these topics are essential to explore, it is important to note that these studies usually require approval and oversight from an Institutional Review Board (IRB). This ensures the study is ethical and does not harm any subjects. 

For this reason, the IRB sets protocols that require additional planning, so consider this when mapping out your study’s timeline. 

Here are some examples of trending healthcare research areas worth pursuing:

The pros and cons of electronic health records

The rise of electronic healthcare charting and records has forever changed how medical professionals and patients interact with their health data. 

Examples of electronic health record-related research topics include:

The number of medication errors reported during a software switch

Nurse sentiment analysis of electronic charting practices

Ethical and legal studies into encrypting and storing personal health data

Inequities within healthcare access

Many barriers inhibit people from accessing the quality medical care they need. These issues result in health disparities and injustices. 

Examples of research topics about health inequities include:

The impact of social determinants of health in a set population

Early and late-stage cancer stage diagnosis in urban vs. rural populations

Affordability of life-saving medications

Health insurance limitations and their impact on overall health

Diagnostic and treatment rates across ethnicities

People who belong to an ethnic minority are more likely to experience barriers and restrictions when trying to receive quality medical care. This is due to systemic healthcare racism and bias. 

As a result, diagnostic and treatment rates in minority populations are a hot-button field of research. Examples of ethnicity-based research topics include:

Cancer biopsy rates in BIPOC women

The prevalence of diabetes in Indigenous communities

Access inequalities in women’s health preventative screenings

The prevalence of undiagnosed hypertension in Black populations

• Pharmaceutical research topics

Large pharmaceutical companies are incredibly interested in investing in research to learn more about potential cures and treatments for diseases. 

If you’re interested in building a career in pharmaceutical research, here are a few examples of in-demand research topics:

Cancer treatment options

Clinical research is in high demand as pharmaceutical companies explore novel cancer treatment options outside of chemotherapy and radiation. 

Examples of cancer treatment-related research topics include:

Stem cell therapy for cancer

Oncogenic gene dysregulation and its impact on disease

Cancer-causing viral agents and their risks

Treatment efficacy based on early vs. late-stage cancer diagnosis

Cancer vaccines and targeted therapies

Immunotherapy for cancer

Pain medication alternatives

Historically, opioid medications were the primary treatment for short- and long-term pain. But, with the opioid epidemic getting worse, the need for alternative pain medications has never been more urgent. 

Examples of pain medication-related research topics include:

Opioid withdrawal symptoms and risks

Early signs of pain medication misuse

Anti-inflammatory medications for pain control

• Identify trends in your medical research with Dovetail

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Research is indispensable for resolving public health challenges – whether it be tackling diseases of poverty, responding to rise of chronic diseases,  or ensuring that mothers have access to safe delivery practices.

Likewise, shared vulnerability to global threats, such as severe acute respiratory syndrome, Ebola virus disease, Zika virus and avian influenza has mobilized global research efforts in support of enhancing capacity for preparedness and response. Research is strengthening surveillance, rapid diagnostics and development of vaccines and medicines.

Public-private partnerships and other innovative mechanisms for research are concentrating on neglected diseases in order to stimulate the development of vaccines, drugs and diagnostics where market forces alone are insufficient.

Research for health spans 5 generic areas of activity:

• measuring the magnitude and distribution of the health problem;
• understanding the diverse causes or the determinants of the problem, whether they are due to biological, behavioural, social or environmental factors;
• developing solutions or interventions that will help to prevent or mitigate the problem;
• implementing or delivering solutions through policies and programmes; and
• evaluating the impact of these solutions on the level and distribution of the problem.

High-quality research is essential to fulfilling WHO’s mandate for the attainment by all peoples of the highest possible level of health. One of the Organization’s core functions is to set international norms, standards and guidelines, including setting international standards for research.

Under the “WHO strategy on research for health”, the Organization works to identify research priorities, and promote and conduct research with the following 4 goals:

• Capacity - build capacity to strengthen health research systems within Member States.
• Priorities - support the setting of research priorities that meet health needs particularly in low- and middle-income countries.
• Standards - develop an enabling environment for research through the creation of norms and standards for good research practice.
• Translation - ensure quality evidence is turned into affordable health technologies and evidence-informed policy.
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Healthcare Research Paper Topics

In this page, we provide a comprehensive list of healthcare research paper topics , expert advice on selecting compelling topics, guidance on writing an impactful research paper, and information about iResearchNet’s writing services. By exploring these resources, students in the health sciences field can choose relevant and significant healthcare research paper topics, develop their papers effectively, and access professional writing assistance to excel in their academic endeavors.

100 Healthcare Research Paper Topics

The field of healthcare research encompasses a vast array of topics that are crucial for understanding, improving, and transforming healthcare practices. As students in the health sciences, you have the opportunity to explore these diverse areas and contribute to the knowledge base of healthcare research. This comprehensive list aims to inspire and guide you in selecting healthcare research paper topics that align with your interests and academic goals. The topics are divided into ten distinct categories, each containing ten thought-provoking and relevant research ideas. Let this list serve as a springboard for your exploration and a catalyst for impactful research in the dynamic field of healthcare.

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1. Healthcare Policy and Management

• The Impact of Health Policies on Access to Care
• Assessing the Effectiveness of Health Insurance Programs
• Analyzing the Role of Healthcare Leadership in Quality Improvement
• Exploring Strategies for Healthcare Cost Containment
• Investigating the Relationship Between Healthcare Regulations and Patient Outcomes
• Evaluating the Impact of Electronic Health Records on Healthcare Delivery
• Examining the Role of Public-Private Partnerships in Healthcare
• Analyzing the Influence of Political Factors on Healthcare Decision-Making
• Assessing the Ethical Implications of Resource Allocation in Healthcare
• Investigating the Effectiveness of Health Promotion Programs in Primary Care Settings

2. Healthcare Ethics and Legal Issues

• Analyzing the Ethical Challenges of Healthcare Research Involving Human Subjects
• Exploring the Impact of Cultural and Religious Beliefs on Healthcare Decision-Making
• Examining Legal Issues in End-of-Life Care and Advance Directives
• Investigating the Ethical Implications of Genetic Testing and Personalized Medicine
• Assessing the Ethical Dilemmas in Access to Experimental Treatments
• Exploring the Role of Ethics Committees in Healthcare Organizations
• Analyzing the Intersection of Healthcare Ethics and Artificial Intelligence
• Evaluating the Legal and Ethical Implications of Telemedicine
• Investigating the Ethics of Healthcare Resource Allocation during Public Health Emergencies
• Examining the Legal and Ethical Issues of Patient Privacy in the Digital Age

3. Healthcare Technology and Innovation

• Assessing the Impact of Artificial Intelligence in Healthcare Diagnostics
• Exploring the Potential of Wearable Devices for Remote Patient Monitoring
• Investigating the Role of Big Data Analytics in Healthcare Decision-Making
• Analyzing the Use of Robotics in Surgery and Patient Care
• Examining the Impact of Telehealth on Healthcare Access and Delivery
• Evaluating the Benefits and Challenges of Electronic Health Records Implementation
• Exploring the Applications of Virtual Reality in Healthcare Education and Training
• Investigating the Role of Mobile Health Applications in Health Behavior Change
• Assessing the Potential of Blockchain Technology in Healthcare Data Security
• Analyzing the Ethical and Social Implications of Genetic Engineering in Healthcare

4. Healthcare Quality and Patient Safety

• Evaluating the Impact of Patient-Centered Care on Health Outcomes
• Analyzing the Role of Quality Improvement Initiatives in Reducing Medical Errors
• Assessing the Effectiveness of Medication Safety Practices in Healthcare Settings
• Exploring Strategies to Improve Healthcare Communication and Interprofessional Collaboration
• Investigating the Relationship Between Nursing Workforce and Patient Safety
• Examining the Impact of Clinical Practice Guidelines on Healthcare Quality
• Analyzing the Role of Patient Engagement in Enhancing Healthcare Quality
• Evaluating the Effectiveness of Lean Six Sigma in Healthcare Process Improvement
• Exploring the Role of Health Information Technology in Enhancing Patient Safety
• Investigating the Influence of Organizational Culture on Healthcare Quality and Safety

5. Mental Health and Psychological Well-being

• Analyzing the Impact of Stigma on Mental Health Help-Seeking Behavior
• Exploring the Effectiveness of Psychotherapy Approaches in Treating Mental Health Disorders
• Assessing the Role of Early Intervention in Preventing Mental Health Disorders
• Investigating the Relationship Between Adverse Childhood Experiences and Mental Health Outcomes
• Examining the Intersection of Mental Health and Substance Abuse Disorders
• Evaluating the Impact of Mindfulness-Based Interventions on Psychological Well-being
• Exploring the Role of Social Support in Mental Health Recovery
• Analyzing the Effectiveness of Mental Health Awareness Campaigns
• Investigating the Influence of Cultural Factors on Mental Health Help-Seeking Behavior
• Examining the Mental Health Needs and Challenges among Specific Populations (e.g., LGBTQ+, Veterans, Refugees)

6. Chronic Diseases and their Management

• Assessing the Impact of Lifestyle Factors on Chronic Disease Prevention and Management
• Exploring the Role of Community-Based Interventions in Chronic Disease Control
• Investigating the Relationship Between Social Determinants of Health and Chronic Disease Burden
• Analyzing the Use of Digital Health Technologies in Chronic Disease Management
• Examining the Impact of Health Literacy on Chronic Disease Outcomes
• Evaluating the Effectiveness of Self-Management Programs for Chronic Conditions
• Exploring the Role of Healthcare Providers in Chronic Disease Prevention and Management
• Analyzing the Impact of Health Policies on Chronic Disease Prevention Efforts
• Investigating the Relationship Between Mental Health and Chronic Disease Management
• Examining the Disparities in Access to Chronic Disease Care and Treatment

7. Healthcare Disparities and Access to Care

• Analyzing Racial and Ethnic Disparities in Healthcare Access and Quality
• Exploring the Role of Socioeconomic Factors in Healthcare Disparities
• Assessing the Impact of Geographic Location on Healthcare Access and Health Outcomes
• Investigating Gender Disparities in Healthcare Utilization and Treatment
• Examining the Influence of Health Insurance Status on Healthcare Disparities
• Evaluating the Effectiveness of Culturally Competent Care in Reducing Disparities
• Exploring the Relationship Between Language Barriers and Healthcare Access
• Analyzing the Impact of Implicit Bias on Healthcare Disparities
• Investigating the Role of Health Literacy in Healthcare Disparities
• Examining the Disparities in Mental Health Services and Access to Mental Healthcare

8. Healthcare Education and Training

• Assessing the Effectiveness of Simulation-Based Training in Healthcare Education
• Exploring the Role of Interprofessional Education in Improving Collaborative Practice
• Investigating the Impact of Technology-Enhanced Learning in Healthcare Education
• Analyzing the Use of Gamification in Healthcare Training and Skill Development
• Examining the Role of Continuing Education in Enhancing Healthcare Providers’ Competence
• Evaluating the Effectiveness of Mentorship Programs in Healthcare Education
• Exploring Strategies to Address Cultural Competence in Healthcare Education
• Analyzing the Role of Reflective Practice in Healthcare Professional Development
• Investigating the Use of Team-Based Learning in Healthcare Education
• Examining the Impact of Experiential Learning in Healthcare Training Programs

9. Public Health and Preventive Medicine

• Assessing the Impact of Vaccination Programs on Public Health Outcomes
• Exploring the Role of Health Promotion Campaigns in Preventing Non-communicable Diseases
• Investigating the Effectiveness of Community-Based Interventions in Disease Prevention
• Analyzing the Impact of Environmental Factors on Public Health
• Examining the Role of Social Determinants of Health in Health Disparities
• Evaluating the Effectiveness of Public Health Policies in Tobacco Control
• Exploring Strategies for Preventing and Managing Infectious Diseases
• Analyzing the Role of Health Education in Promoting Healthy Lifestyles
• Investigating the Influence of Media on Public Health Perceptions and Behaviors
• Examining the Challenges and Opportunities in Global Health Initiatives

10. Emerging Topics in Healthcare Research

• Assessing the Implications of Artificial Intelligence in Healthcare
• Exploring the Role of Precision Medicine in Personalized Healthcare
• Investigating the Impact of Genomic Research on Healthcare Delivery
• Analyzing the Use of Telemedicine in Rural and Underserved Areas
• Examining the Integration of Traditional and Complementary Medicine in Healthcare
• Evaluating the Potential of Digital Therapeutics in Disease Management
• Exploring the Ethical Considerations of Gene Editing Technologies in Healthcare
• Analyzing the Influence of Social Media on Healthcare Decision-Making
• Investigating the Role of Health Information Exchange in Coordinated Care
• Examining the Implications of Health Equity in Healthcare Research and Practice

This comprehensive list of healthcare research paper topics encompasses a wide range of areas within the healthcare field. Each category offers diverse research ideas that can inspire students in the health sciences to explore pressing issues, propose innovative solutions, and contribute to the advancement of healthcare knowledge. Whether you are interested in healthcare policy, ethics, technology, mental health, chronic diseases, healthcare disparities, education, public health, or emerging healthcare research paper topics, this list serves as a valuable resource to kickstart your research journey. Choose a topic that resonates with you, aligns with your academic goals, and enables you to make a meaningful impact in the field of healthcare research. Remember, the pursuit of knowledge and the drive to improve healthcare practices are at the heart of your journey as a student in the health sciences.

Choosing Healthcare Research Paper Topics

Choosing the right healthcare research paper topic is a crucial step in conducting a successful and impactful study. With the vast array of healthcare issues and areas to explore, it can be challenging to narrow down your focus. To help you navigate this process effectively, we have compiled expert advice and ten essential tips for selecting compelling healthcare research paper topics. Consider these insights as you embark on your research journey in the dynamic field of healthcare:

• Follow Your Passion : Choose a topic that genuinely interests you. Passion and enthusiasm will drive your motivation, ensuring that you remain engaged throughout the research process.
• Stay Informed : Keep up with the latest healthcare trends, emerging issues, and ongoing debates. Stay informed through reputable sources, academic journals, conferences, and professional networks to identify current and relevant research gaps.
• Identify a Research Gap : Conduct a thorough literature review to identify areas where there is a need for further research. Look for unanswered questions, controversies, or gaps in knowledge that you can address in your study.
• Consider Relevance and Significance : Choose a topic that is relevant to current healthcare challenges or contributes to improving healthcare practices, policies, or patient outcomes. Aim for a topic that has real-world implications and societal impact.
• Delve into Specific Areas : Narrow down your focus by selecting a specific aspect or subtopic within the broad field of healthcare. This allows for a more focused and in-depth analysis of the chosen area.
• Consult with Your Advisor or Faculty : Seek guidance from your research advisor or faculty members who specialize in healthcare research. They can provide valuable insights, help you refine your topic, and direct you to relevant literature and resources.
• Brainstorm with Peers : Engage in discussions with your peers and classmates to explore different perspectives and gain inspiration. Collaborative brainstorming sessions can generate new ideas and offer fresh insights.
• Consider Ethical Considerations : Take ethical considerations into account when selecting a healthcare research topic. Ensure that your research adheres to ethical guidelines and respects the rights and privacy of participants, especially in studies involving human subjects.
• Think Interdisciplinary : Consider interdisciplinary approaches to healthcare research. Explore how other disciplines, such as sociology, psychology, economics, or technology, intersect with healthcare, providing a broader perspective and enhancing the depth of your research.
• Feasibility and Available Resources : Assess the feasibility of your chosen topic, considering the resources, time, and data availability required for your research. Ensure that you have access to relevant data sources, research tools, and necessary support to carry out your study effectively.

By following these expert tips, you will be equipped to choose a healthcare research paper topic that aligns with your interests, is relevant to current healthcare challenges, and has the potential to make a meaningful impact in the field. Remember, selecting the right topic sets the foundation for a successful research endeavor, allowing you to contribute to the advancement of healthcare knowledge and practices.

How to Write a Healthcare Research Paper

Writing a healthcare research paper requires careful planning, organization, and attention to detail. To help you navigate the intricacies of the writing process, we have compiled ten essential tips to guide you towards crafting a well-written and impactful healthcare research paper. Follow these expert recommendations to enhance the quality and effectiveness of your research paper:

• Develop a Clear Research Question : Start by formulating a clear and concise research question that will serve as the central focus of your paper. Ensure that your question is specific, measurable, achievable, relevant, and time-bound (SMART).
• Conduct a Thorough Literature Review : Before diving into your research, conduct a comprehensive literature review to familiarize yourself with existing knowledge on the topic. Identify key theories, concepts, methodologies, and gaps in the literature that your research aims to address.
• Create a Solid Research Design : Design a robust research plan that aligns with your research question. Define your study population, sampling strategy, data collection methods, and statistical analyses. A well-designed research plan enhances the validity and reliability of your findings.
• Collect and Analyze Data : Implement your data collection methods, ensuring ethical considerations and adherence to research protocols. Once collected, analyze the data using appropriate statistical techniques and tools. Provide a clear description of your analytical methods.
• Structure your Paper Effectively : Organize your research paper into logical sections, including an introduction, literature review, methodology, results, discussion, and conclusion. Use headings and subheadings to enhance readability and guide the reader through your paper.
• Write a Compelling Introduction : Start your paper with a strong introduction that captures the reader’s attention and provides a concise overview of the research topic, objectives, and significance. Clearly state your research question and the rationale for your study.
• Present Clear and Concise Results : Present your research findings in a clear and concise manner. Use tables, graphs, and figures where appropriate to enhance the readability of your results. Provide a comprehensive interpretation of the results, highlighting key findings and their implications.
• Engage in Critical Analysis and Discussion : Analyze and interpret your findings in the context of existing literature. Discuss the strengths and limitations of your study, addressing potential biases or confounders. Consider alternative explanations and provide a thoughtful discussion of the implications of your findings.
• Follow Proper Citation and Referencing Guidelines : Adhere to the appropriate citation style (such as APA, MLA, or Chicago) consistently throughout your paper. Cite all sources accurately and include a comprehensive list of references at the end of your paper.
• Revise and Edit : Before finalizing your research paper, revise and edit it thoroughly. Pay attention to clarity, coherence, grammar, spelling, and punctuation. Ensure that your arguments flow logically and that your paper is well-structured and cohesive.

By following these tips, you will be well-equipped to write a high-quality healthcare research paper that effectively communicates your findings, contributes to the existing knowledge in the field, and engages readers with your insights and conclusions. Remember to seek feedback from your peers, professors, or research advisors to further refine your paper and ensure its overall excellence.

iResearchNet’s Custom Writing Services

At iResearchNet, we understand the challenges students face when it comes to writing healthcare research papers. To support you in your academic journey and ensure the highest quality of your work, we offer a comprehensive range of writing services. With a team of expert degree-holding writers and a commitment to excellence, we are dedicated to providing customized solutions tailored to your specific needs. Here are the features that set our writing services apart:

• Expert Degree-Holding Writers : Our team consists of highly qualified writers with advanced degrees in healthcare and related fields. They possess in-depth knowledge and expertise in various areas of healthcare, ensuring that your research paper is handled by professionals with subject matter expertise.
• Custom Written Works : We understand the importance of originality and uniqueness in academic writing. Our writers craft each research paper from scratch, tailoring it to your specific requirements and ensuring that it is entirely original and plagiarism-free.
• In-Depth Research : Our writers are skilled in conducting extensive research using reputable sources. They delve deep into the literature to gather the most relevant and up-to-date information, providing a solid foundation for your research paper.
• Custom Formatting : We offer custom formatting options to meet the specific guidelines of your institution and chosen citation style. Whether it’s APA, MLA, Chicago/Turabian, Harvard, or any other formatting style, our writers are well-versed in the intricacies of each.
• Top Quality : We are committed to delivering research papers of the highest quality. Our writers follow strict quality control measures to ensure that your paper meets the academic standards, including proper structure, clarity of writing, and logical flow of ideas.
• Customized Solutions : We recognize that every research paper is unique. Our writers work closely with you to understand your research objectives, guidelines, and preferences. They tailor their approach to ensure that your research paper reflects your vision and academic goals.
• Flexible Pricing : We offer flexible pricing options to accommodate students’ budgets. We understand the financial constraints students often face, and we strive to provide competitive and affordable pricing for our writing services.
• Short Deadlines : We understand that time is often a critical factor. We offer short turnaround times, allowing you to meet tight deadlines without compromising the quality of your research paper. With our dedicated team, we can handle urgent requests efficiently.
• Timely Delivery : We prioritize timely delivery to ensure that you receive your research paper well before your deadline. We understand the importance of submitting your work on time and offer our commitment to punctuality.
• 24/7 Support : Our customer support team is available 24/7 to assist you with any inquiries or concerns you may have. We are here to provide prompt and helpful assistance at any stage of the writing process.
• Absolute Privacy : We value your privacy and confidentiality. We have strict measures in place to protect your personal information and ensure that your identity remains anonymous throughout the process.
• Easy Order Tracking : We provide a user-friendly platform that allows you to track the progress of your order. You can stay updated on the status of your research paper and communicate directly with your assigned writer.
• Money-Back Guarantee : We are confident in the quality of our writing services. In the rare event that you are not satisfied with the final product, we offer a money-back guarantee, ensuring your peace of mind and commitment to your satisfaction.

At iResearchNet, we are dedicated to your success. We strive to exceed your expectations and provide you with a seamless and exceptional experience. Trust us with your healthcare research paper and let our expert writers bring your ideas to life with professionalism, accuracy, and academic excellence.

Customized Solutions for Your Research Needs

Are you a health sciences student in search of professional assistance for your healthcare research paper? Look no further than iResearchNet. We are here to empower your academic journey and help you excel in your research endeavors. With our comprehensive writing services and commitment to excellence, we provide the necessary tools and expert guidance to ensure your success.

At iResearchNet, we understand the unique challenges that come with writing healthcare research papers. Our team of expert degree-holding writers specializes in the health sciences field, allowing us to deliver customized solutions tailored to your specific research needs. Whether you need assistance in selecting a research topic, conducting in-depth literature reviews, analyzing data, or crafting a well-structured paper, we have the expertise to guide you every step of the way.

Take the next step in your healthcare research journey and unlock your academic potential with iResearchNet. Order your custom healthcare research paper today and let our expert writers bring your ideas to life with professionalism, accuracy, and academic excellence. Trust us to provide you with the guidance and support you need to achieve your research goals and make a meaningful impact in the field of healthcare.

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