Health Research Research Articles

An environmental scan of studies reporting current practices for the conduct of environmental scans

Objective: The objective of this environmental scan is to synthesize the published, peer-reviewed literature specific to the term ‘environmental scan’ to determine how it is currently being used in health research and to propose some promising practices. Background: Environmental scans are becoming increasingly popular in synthesizing information on emergent topics and describing practice and research scope. Despite the growing use of environmental scans in health research, including nursing and rehabilitation, limited attention is given to methodological best practices. It is essential that we develop knowledge in this area to assist researchers, trainees, healthcare professionals, educators, and decision-makers with the use and reporting of environmental scans. Study design and methods: This environmental scan included a search of four health databases: CINAHL, Embase, MEDLINE, and PsycINFO. We included peer-reviewed studies published between 2000-2024 in English using two key terms, ‘environmental scan’ and ‘health’. Studies were included that described methods used in conducting an environmental scan. Results: We identified 56 studies describing methods for conducting environmental scans. A synthesis of these studies revealed four promising practices: 1) consider environmental/contextual influences, 2) use of multiple data sources and approaches, 3) engage stakeholders to ensure relevance/need and increase uptake, and 4) use of outcomes to address knowledge or service gap to optimise impact. Conclusion: The findings of this environmental scan are among the first to examine methodological studies to determine promising practices for conducting environmental scans across health disciplines. Implications for research, policy, and practice: The findings of this novel environmental scan are beneficial for health professionals, researchers, trainees, educators, and decision-makers in informing research, practice, and policy change What is already known about the topic? The use of environmental scans is becoming increasingly popular in health research, including nursing and rehabilitation. There is a lack of consistency in the use and reporting of environmental scans across health disciplines. What this paper adds This environmental scan is among the first to contribute foundational knowledge and innovation in promising best practices for the conduct of environmental scans in health research. The novel findings will assist in promoting consistency in the use and reporting of environmental scans.

Air quality and mental illness: role of bioaerosols, causal mechanisms and research priorities.

Poor air quality can both trigger and aggravate lung and heart conditions, as well as affecting child development. It can even lead to neurological and mental health problems. However, the precise mechanisms by which air pollution affect human health are not well understood. To promote interdisciplinary dialogue and better research based on a critical summary of evidence on air quality and health, with an emphasis on mental health, and to do so with a special focus on bioaerosols as a common but neglected air constituent. A rapid narrative review and interdisciplinary expert consultation, as is recommended for a complex and rapidly changing field of research. The research methods used to assess exposures and outcomes vary across different fields of study, resulting in a disconnect in bioaerosol and health research. We make recommendations to enhance the evidence base by standardising measures of exposure to both particulate matter in general and bioaerosols specifically. We present methods for assessing mental health and ideal designs. There is less research on bioaerosols, and we provide specific ways of measuring exposure to these. We suggest research designs for investigating causal mechanisms as important intermediate steps before undertaking larger-scale and definitive studies. We propose methods for exposure and outcome measurement, as well as optimal research designs to inform the development of standards for undertaking and reporting research and for future policy.

Development and validation of the infodemic scale

ABSTRACT Infodemic is closely related to all healthcare professionals. Nurses take the lead in health professions that spend a long time with the society and try to present accurate information due to their roles. Infodemic is the massive spread of false or unreliable information in times of crisis. This study aims to develop a valid and reliable tool that identifies individuals’ approaches to infodemic. This study was methodological. The sample consisted of 504 people (N = 504). Data were collected using the Information Form and the Infodemic Scale. The sample was divided into two for the explanatory factor analysis (EFA) and the confirmatory factor analysis (CFA). The scale was developed using the scale development process in health and social research, which consists of three steps. The EFA revealed 14 items under two factors, which are awareness and literacy. Item factor loadings were found to range between 0.334 and 0.907. The CFA confirmed the two-factor scale structure. The total Cronbach’s alpha of the scale was 0.87, and the composite reliability value was 0.89. The intra-class correlation coefficient (ICC) value was found to be 0.857. According to psychometric evaluations, the Infodemic Scale is a valid and reliable instrument that can make consistent measurements.

Vaccine Completion and Timeliness Among Children in the Military Health System: 2010-2019.

Few studies have evaluated pediatric vaccination coverage in the Military Health System, although some evidence suggests lower than ideal coverage. This study assessed vaccine completion and timeliness among military dependents through age 24 months. Children born at military hospitals from 2010 through 2019 were identified using Department of Defense Birth and Infant Health Research program data. Vaccine completion and timeliness were assessed for diphtheria, tetanus, and pertussis; polio; measles, mumps, and rubella; hepatitis B; Haemophilus influenzae type b; varicella; and pneumococcal conjugate individually and as a combined 7-vaccine series; rotavirus was assessed separately. Modified Poisson regression models were used to calculate risk ratios (RRs) and 95% confidence intervals (CIs) for noncompletion and delays, adjusting for demographic characteristics. Of 275 967 children, 74.4% completed the combined 7-vaccine series, and 36.2% of those who completed the series had delays. Completion peaked at 78.7% among children born in 2016 and 2017. Among all vaccines, completion was lowest for rotavirus (77.5%), diphtheria, tetanus, and pertussis (83.1%), Haemophilus influenzae type b (86.6%), and pneumococcal conjugate (88.4%). Risk for noncompletion was higher among children born to younger pregnant parents (adjusted RR = 1.33; 95% CI = 1.27-1.40) and with a well-child care location change (adjusted RR = 1.10; 95% CI = 1.09-1.12). Risk for delays paralleled that for noncompletion. Vaccine completion and timeliness generally improved among military children, but greater noncompletion of vaccine series with more versus fewer doses and disparities for younger and mobile service members suggest system barriers remain.

Responsible Research: Reflections of Two Business Scholars Doing Mental Health Research During COVID-19

Abstract This essay reflects the journey of two business scholars, Stephen X. Zhang and Jiyao Chen, who ventured into mental health research during the COVID-19 pandemic. We experienced first-hand how health sciences have operated their publication systems in ways that uphold scientific standing while addressing real-world problems. In doing so, we found the publishing expectations and norms in health and medical sciences to be vastly different from those in management. This essay further discusses aspects such as the preference for evidence over theory, the relationship with basic sciences, diverse evaluation criteria, encouragement of exploration and replication, timeliness, and democratization and inclusivity of scholarship as concrete steps of responsible research.

Role, function, and expectations of research funding committees: Perspectives from committee members

Research funding committees play an integral role in the research funding process, consisting of a range of skills, knowledge, and expertise (e.g., professional, and public contributors). Although there is some evidence that has explored the efficiency and effectiveness of funding committees in terms of the funding process, there is a lack of published evidence about the purpose, role, and function of funding committees, from the perspective of committee members. A subset of survey data from a cohort of six National Institute for Health and Care Research (NIHR) research programmes, exploring the purpose of a funding committee, and the expectations and role of a funding committee member between October 2020 to December 2021. All committee members were eligible to participate in the survey. Using an inductive approach, 50 completed responses (22.5% response rate) were analysed, focusing on the role of a funding committee member and the functions of a funding committee. Participants highlighted seven key areas for the purpose of a funding committee: prioritising and recommending what research to fund (n=36) and assessment of quality (n=24) being the most common responses. Four areas were considered important to the expectations and role of funding committee members, with reviewing, critically appraising, and discussing applications (n=44); and being fair, objective, and unbiased (n=27) being the most common responses. The findings offer a unique insight into committee members’ expectations about the role, purpose and function of a funding committee and their contribution to the funding recommendation process. There was high agreement that the purpose and role of committees and their members was to offer expert advice to make fair, impartial decisions on which research should be prioritised. Exploring the purpose, role, and function of funding committees has relevance and importance for funding organisations seeking to enhance and optimise the decision-making practice of funding committees.

Artificial Intelligence in Low- and Middle-Income Countries: Reducing the Gaps in Health Care, Research, and Education

Artificial intelligence has emerged as a transformative force across various disciplines, with healthcare being a prominent area of interest. This interest has emerged due to the potential for artificial intelligence to revolutionize healthcare. Artificial intelligence is predominantly developed and deployed in high-income countries. These countries have more resources, better healthcare outcomes, and better staffing than the low- and middle-income countries. Given these disparities, one can argue that low-income countries have a greater need to deploy artificial intelligence technology in healthcare delivery and health education and research.

Survival of men with metastatic hormone-sensitive prostate cancer and adrenal-permissive HSD3B1 inheritance.

BACKGROUNDMetastatic hormone-sensitive prostate cancer (mHSPC) is androgen dependent, and its treatment includes androgen deprivation therapy (ADT) with gonadal testosterone suppression. Since 2014, overall survival (OS) has been prolonged with addition of other systemic therapies, such as adrenal androgen synthesis blockers, potent androgen receptor blockers, or docetaxel, to ADT. HSD3B1 encodes the rate-limiting enzyme for nongonadal androgen synthesis, 3β-hydroxysteroid dehydrogenase-1, and has a common adrenal-permissive missense-encoding variant that confers increased synthesis of potent androgens from nongonadal precursor steroids and poorer prostate cancer outcomes.METHODSOur prespecified hypothesis was that poor outcome associated with inheritance of the adrenal-permissive HSD3B1 allele with ADT alone is reversed in patients with low-volume (LV) mHSPC with up-front ADT plus addition of androgen receptor (AR) antagonists to inhibit the effect of adrenal androgens. HSD3B1 genotype was obtained in 287 patients with LV disease treated with ADT + AR antagonist only in the phase III Enzalutamide in First Line Androgen Deprivation Therapy for Metastatic Prostate Cancer (ENZAMET) trial and was associated with clinical outcomes.RESULTSPatients who inherited the adrenal-permissive HSD3B1 allele had more favorable 5-year clinical progression-free survival and OS when treated with ADT plus enzalutamide or ADT plus nonsteroidal antiandrogen compared with their counterparts who did not have adrenal-permissive HSD3B1 inheritance. HSD3B1 was also associated with OS after accounting for known clinical variables. Patients with both genotypes benefited from early enzalutamide.CONCLUSIONThese data demonstrated an inherited physiologic driver of prostate cancer mortality is associated with clinical outcomes and is potentially pharmacologically reversible.FUNDINGNational Cancer Institute, NIH; Department of Defense; Prostate Cancer Foundation, Australian National Health and Medical Research Council.

Rocky Mountain Spotted Fever in Mexico: A Call to Action.

Rocky Mountain spotted fever (RMSF) is an ongoing public health crisis in Mexico, particularly in states bordering the United States. The national highest incidence and mortality of RMSF occur in this region, resulting in a case-fatality rate that ranges annually between 10% and 50%, primarily affecting vulnerable groups such as children, elderly adults, and persons living in poverty. Multiple biological, environmental, and social determinants can explain its growing presence throughout the country and how it challenges the health system and society. It is necessary to integrate resources and capacities from health authorities, research centers, and society to succeed in dealing with this problem. Through a scientific symposium, a group of academicians, U.S. health officials, and Mexican health authorities met on November 8-10, 2023, in Hermosillo, Mexico, to discuss the current situation of RMSF across the country and the challenges associated with its occurrence. An urgent call for action to improve national capacity against RMSF in the aspects of epidemiological and acarological surveillance, diagnosis, medical care, case and outbreak prevention, health promotion, and research was urged by the experts. The One Health approach is a proven multidisciplinary strategy to integrate policies and interventions to mitigate and prevent the burden of cases, deaths, and suffering caused by RMSF in Mexico.

Evidence for widespread human exposure to food contact chemicals.

Over 1800 food contact chemicals (FCCs) are known to migrate from food contact articles used to store, process, package, and serve foodstuffs. Many of these FCCs have hazard properties of concern, and still others have never been tested for toxicity. Humans are known to be exposed to FCCs via foods, but the full extent of human exposure to all FCCs is unknown. To close this important knowledge gap, we conducted a systematic overview of FCCs that have been monitored and detected in human biomonitoring studies according to a previously published protocol. We first compared the more than 14,000 known FCCs to five biomonitoring programs and three metabolome/exposome databases. In a second step, we prioritized FCCs that have been frequently detected in food contact materials and systematically mapped the available evidence for their presence in humans. For 25% of the known FCCs (3601), we found evidence for their presence in humans. This includes 194 FCCs from human biomonitoring programs, with 80 of these having hazard properties of high concern. Of the 3528 FCCs included in metabolome/exposome databases, most are from the Blood Exposome Database. We found evidence for the presence in humans for 63 of the 175 prioritized FCCs included in the systematic evidence map, and 59 of the prioritized FCCs lack hazard data. Notwithstanding that there are also other sources of exposure for many FCCs, these data will help to prioritize FCCs of concern by linking information on migration and biomonitoring. Our results on FCCs monitored in humans are available as an interactive dashboard (FCChumon) to enable policymakers, public health researchers, and food industry decision-makers to make food contact materials and articles safer, reduce human exposure to hazardous FCCs and improve public health. We present systematically compiled evidence on human exposure to 3601 food contact chemicals (FCCs) and highlight FCCs that are of concern because of their known hazard properties. Further, we identify relevant data gaps for FCCs found in food contact materials and foods. This article improves the understanding of food contact materials' contribution to chemical exposure for the human population and highlights opportunities for improving public health.

Data Integrity Issues With Web-Based Studies: An Institutional Example of a Widespread Challenge.

This paper reports on the growing issues experienced when conducting web-based-based research. Nongenuine participants, repeat responders, and misrepresentation are common issues in health research posing significant challenges to data integrity. A summary of existing data on the topic and the different impacts on studies is presented. Seven case studies experienced by different teams within our institutions are then reported, primarily focused on mental health research. Finally, strategies to combat these challenges are presented, including protocol development, transparent recruitment practices, and continuous data monitoring. These strategies and challenges impact the entire research cycle and need to be considered prior to, during, and post data collection. With a lack of current clear guidelines on this topic, this report attempts to highlight considerations to be taken to minimize the impact of such challenges on researchers, studies, and wider research. Researchers conducting web-based research must put mitigating strategies in place, and reporting on mitigation efforts should be mandatory in grant applications and publications to uphold the credibility of web-based research.

Social Determinants of Cardiovascular Health in Asian Americans: A Scientific Statement From the American Heart Association.

To achieve cardiovascular health (CVH) equity in the United States, an understanding of the social and structural factors that contribute to differences and disparities in health is necessary. The Asian American population is the fastest-growing racial group in the United States but remains persistently underrepresented in health research. There is heterogeneity in how individual Asian American ethnic groups experience CVH and cardiovascular disease outcomes, with certain ethnic groups experiencing a higher burden of adverse social conditions, disproportionately high burden of suboptimal CVH, or excess adverse cardiovascular disease outcomes. In this scientific statement, upstream structural and social determinants that influence CVH in the Asian American population are highlighted, with particular emphasis on the role of social determinants of health across disaggregated Asian American ethnic groups. Key social determinants that operate in Asian American communities include socioeconomic position, immigration and nativity, social and physical environments, food and nutrition access, and health system-level factors. The role of underlying structural factors such as health, social, and economic policies and structural racism is also discussed in the context of CVH in Asian Americans. To improve individual-, community-, and population-level CVH and to reduce CVH disparities in Asian American ethnic subgroups, multilevel interventions that address adverse structural and social determinants are critical to achieve CVH equity for the Asian American population. Critical research gaps for the Asian American population are given, along with recommendations for strategic approaches to investigate social determinants of health and intervene to reduce health disparities in these communities.

A qualitative exploration of disseminating research findings among public health researchers in China

BackgroundResearch dissemination is essential to accelerate the translating of evidence into practice. Little is known about dissemination among Chinese public health researchers. This study aimed to explore the understanding and practices of disseminating research findings and to identify barriers and facilitators that influence dissemination activities to non-research audiences.MethodsThis study deployed an exploratory qualitative design with purposive and snowball sampling. One focus group with 5 participants and 12 in-depth interviews were conducted with participants working in diverse fields from universities (n = 10), the National Chinese Center for Disease Control and Prevention (n = 4), the Chinese National Cancer Center (n = 1), the Chinese National Center for Cardiovascular Disease (n = 1), and China office of a global research institute (n = 1) from May to December 2021 to reach saturation. Data were initially analyzed using inductive thematic analysis. The designing for dissemination (D4D) logic model was then used to organize themes and subthemes. Two coders independently coded all transcripts and discussed disparities to reach a consensus.ResultsOut of 17 participants, 12 misunderstood the concept of dissemination; 14 had disseminated to non-research audiences: 10 to the public, 10 to practitioners, and 9 to policymakers. We identified multiple barriers to dissemination to non-research audiences across four phases of the D4D logic model, including low priority of dissemination, limited application of D4D strategies, insufficient support from the research organizations, practice settings, and health systems, and overemphasis on academic publications.ConclusionsThere was a lack of understanding and experience of dissemination, indicating a lack of emphasis on active dissemination in China. We provide implications for raising awareness, building capacity, facilitating multidisciplinary collaboration, providing incentives and infrastructure, changing climate and culture, establishing communication and executive networks, and accelerating systematic shifts in impact focus.

Integrating Diet and Health Care in Child Health Research.

Integrating Diet and Health Care in Child Health Research.

Cross-National Analysis of Opioid Prescribing Patterns: Enhancements and Insights from the OralOpioids R Package in Canada and the United States

Background: The opioid crisis remains a significant public health challenge in North America, highlighted by the substantial need for tools to analyze and understand opioid potency and prescription patterns. Methods: The OralOpioids package automates the retrieval, processing, and analysis of opioid data from Health Canada’s Drug Product Database (DPD) and the U.S. Food and Drug Administration’s (FDA) National Drug Code (NDC) database. It includes functions such as load_Opioid_Table, which integrates country-specific data processing and Morphine Equivalent Dose (MED) calculations, providing a comprehensive dataset for analysis. The package facilitates a comprehensive examination of opioid prescriptions, allowing researchers to identify high-risk opioids and patterns that could inform policy and healthcare practices. Results: The integration of MED calculations with Canadian and U.S. data provides a robust tool for assessing opioid potency and prescribing practices. The OralOpioids R package is an essential tool for public health researchers, enabling a detailed analysis of North American opioid prescriptions. Conclusions: By providing easy access to opioid potency data and supporting cross-national studies, the package plays a critical role in addressing the opioid crisis. It suggests a model for similar tools that could be adapted for global use, enhancing our capacity to manage and mitigate opioid misuse effectively.

Applying a community-engaged participatory machine learning model.

Although predictive algorithms have been described as the definitive solution to bias in health care, machine learning techniques may also propagate existing health inequities within the community context. However, there may be ways in which machine learning techniques can help community psychologists, public health researchers and practitioners identify patterns in data in a way that empowers improved outcomes. Incorporating community insight in all stages of machine learning research mitigates bias by positioning members of underrepresented communities as the experts of their lived experiences. As community psychologists already prioritize community-based participatory practices, we propose three core guiding principles for a community-engaged participatory model for research using machine learning techniques: shared decision-making, reflexivity and structural humility, and flexibility and adaptability. Guided by these three principles, we emphasize grounding priority setting, problem formation, model assumptions, and interpretation of the resulting algorithmic patterns in the truths born from the lived experiences of people closest to the problem. We also suggest opportunities for bidirectional and mutually empowering partnerships between algorithmic scientists and the communities to which their algorithms will be applied. Inclusion of community stakeholders in all stages of machine learning for health research provides an opportunity to develop algorithms that are both highly effective and ethically grounded in the lived experiences of target populations.

Introducing patient stories in health sciences education: the learning experiences of students

BackgroundIt has been advocated that the development of medical school curricula must be informed by students, doctors in training, educators, employers, other health and social care professionals and patients, families and carers. Patients are widely employed to teach clinical and interpersonal skills, and while recognised as crucial in health education, they have mostly been offered a passive role. We assessed the impact of patients contributing personal illness narratives in the master curriculum of allied health care professionals on students’ learning experiences.MethodsWe designed a module (Patient and Society) for a master’s degree programme in Health Sciences at the University of Southern Denmark in collaboration with six patients. The patients contributed to the teaching by sharing and discussing their personal illness narrative. At the end of the module, as part of the exam, we asked the students to reflect on the patients’ contribution to the module and how this affected their learning experiences. The 500-word exam responses of 29 students were analysed, in collaboration with six patients, using thematic analysis.ResultsIncluding patients’ illness narratives lifted students’ academic learning, and their personal and professional development. The stories brought theoretical concepts to life; it helped the students to obtain, retain, and apply academic knowledge. Actively and uninterrupted listening to patients’ illness experiences promoted empathy and critical reflection on clinical practice. Faced with the impact of a disease on a person’s life, seeing the healthcare system through a patient’s lens made students reflect critically on the medical positivist model ruling the health care system focused on just fixing the medical problem with very little room for the illness experience.ConclusionOur analyses support previous findings indicating that patient narratives are a powerful tool to achieve academic and professional development. Working with patients in health education has the potential to work towards a more inclusive epistemological stance in the health care system and health research.

Recommendations from the 2024 Australian evidence-based guideline for unexplained infertility: ADAPTE process from the ESHRE evidence-based guideline on unexplained infertility.

The 2024 Australian evidence-based guideline for unexplained infertility provides clinicians with evidence-based recommendations for the optimal diagnostic workup for infertile couples to establish the diagnosis of unexplained infertility and optimal therapeutic approach to treat couples diagnosed with unexplained infertility in the Australian health care setting. The guideline recommendations were adapted for the Australian context from the rigorous, comprehensive European Society of Human Reproduction and Embryology (ESHRE) 2023 Evidence-based guideline: unexplained infertility, using the ADAPTE process and have been approved by the Australian National Health and Medical Research Council. The guideline includes 40 evidence-based recommendations, 21 practice points and three research recommendations addressing: definition - defining infertility and frequency of intercourse, infertility and age, female and male factor infertility; diagnosis - ovulation, ovarian reserve, tubal factor, uterine factor, laparoscopy, cervical/vaginal factor, male factor, additional testing for systemic conditions; and treatment - expectant management, active treatment, mechanical-surgical procedures, alternative therapeutic approaches, quality of life. CHANGES IN ASSESSMENT AND MANAGEMENT RESULTING FROM THE GUIDELINE: This guideline refines the definition of unexplained infertility and addresses basic diagnostic procedures for infertility assessment not considered in previous guidelines on unexplained infertility. For therapeutic approaches, consideration of evidence quality, efficacy, safety and, in the Australian setting, feasibility, acceptability, cost, implementation and ultimately recommendation strength were integrated across multidisciplinary expertise and consumer perspectives in adapting recommendations to the Australian context by using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework, which had not been used in past guidelines on unexplained infertility to formulate recommendations. The Australian process also included an established data integrity check to ensure evidence could be trusted to guide practice. Practice points were added and expanded to consider the Australian setting. No evidence-based recommendations were underpinned by high quality evidence, with most having low or very low quality evidence. In this context, research recommendations were made including those for the Australian context. The full guideline and technical report are publicly available online and can be accessed at https://www.monash.edu/medicine/mchri/infertility and are supported by extensive translation resources, including the free patient ASKFertility mobile application (https://www.askfertility.org/).

Accelerated Longitudinal Glycemic Changes in Relation to Urinary Toxic/Essential Metals and Metal Mixtures Among Mexican Americans Living in Starr County, Texas.

Metal and metalloid exposures (hereafter "metals") are associated with adverse health outcomes, including type 2 diabetes; however, previous studies were largely cross- sectional or underpowered. Furthermore, underserved racial/ethnic groups are underrepresented in environmental health research despite having higher rates of type 2 diabetes and a greater risk of metal exposures. Consequently, we evaluated continuous glycemic traits in relation to baseline urinary toxic metal, essential metal, and metal mixtures in a cohort of Mexican American adults. A total of 510 participants were selected based upon self-reported diabetes status and followed over 3 years. Urinary metals were assessed at baseline. Linear mixed-effects models were used to estimate per-month changes in hemoglobin A1c, fasting plasma glucose, and postload glucose in relation to urinary metal levels. Multiple statistical approaches were used to assess the associations between glycemic traits and metal mixtures. After adjustment, higher urinary levels of arsenic, selenium, copper, molybdenum, nickel, and tin were associated with faster increases in measures of glycemia. The toxic metal mixture composed of arsenic, lead, cadmium, nickel, and tin was associated with faster increases in postload glucose. Using postload glucose criteria, highest versus lowest arsenic was predicted to accelerate conversion of normoglycemia to prediabetes and diabetes by 23 and 65 months, respectively. In this underrepresented, high-risk Mexican American population, exposure to toxic metals and alterations in essential metal homeostasis were associated with faster increases in glycemia over time that may accelerate type 2 diabetes development.

Data sharing policies across health research globally: Cross-sectional meta-research study.

Data sharing improves the value, synthesis, and integrity of research, but rates are low. Data sharing might be improved if data sharing policies were prominent and actionable at every stage of research. We aimed to systematically describe the epidemiology of data sharing policies across the health research lifecycle. This was a cross-sectional analysis of the data sharing policies of the largest health research funders, all national ethics committees, all clinical trial registries, the highest-impact medical journals, and all medical research data repositories. Stakeholders' official websites, online reports, and other records were reviewed up to May 2022. The strength and characteristics of their data sharing policies were assessed, including their policies on data sharing intention statements (a.k.a. data accessibility statements) and on data sharing specifically for coronavirus disease studies. Data were manually extracted in duplicate, and policies were descriptively analysed by their stakeholder and characteristics. Nine hundred and thirty-five eligible stakeholders were identified: 110 funders, 124 ethics committees, 18 trial registries, 273 journals, and 410 data repositories. Data sharing was required by 41% (45/110) of funders, no ethics committees or trial registries, 19% (52/273) of journals and 6% (24/410) of data repositories. Among funder types, a higher proportion of private (63%, 35/55) and philanthropic (67%, 4/6) funders required data sharing than public funders (12%, 6/49). Data sharing requirements, and even recommendations, were insufficient across health research. Where data sharing was required or recommended, there was limited guidance on implementation. We describe multiple pathways to improve the implementation of data sharing. Public funders and ethics committees are two stakeholders with particularly important untapped opportunities.