27
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A systematic review to identify research priority setting in Black and minority ethnic health and evaluate their processes

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Black, Asian and minority ethnic communities suffer from disproportionately poorer health than the general population. This issue has been recently exemplified by the large numbers of infection rates and deaths caused by covid-19 in BAME populations. Future research has the potential to improve health outcomes for these groups. High quality research priority setting is crucial to effectively consider the needs of the most vulnerable groups of the population.

          Objective

          The purpose of this systematic review is to identify existing research priority studies conducted for BAME health and to determine the extent to which they followed good practice principles for research priority setting.

          Method

          Included studies were identified by searching Medline, Cinnahl, PsychINFO, Psychology and Behavioral Sciences Collection, as well as searches in grey literature. Search terms included “research priority setting”, “research prioritisation”, “research agenda”, “Black and minority ethnic”, “ethnic group”. Studies were included if they identified or elicited research priorities for BAME health and if they outlined a process of conducting a research prioritisation exercise. A checklist of Nine Common Themes of Good Practice in research priority setting was used as a methodological framework to evaluate the research priority processes of each study.

          Results

          Out of 1514 citations initially obtained, 17 studies were included in the final synthesis. Topic areas for their research prioritisation exercise included suicide prevention, knee surgery, mental health, preterm birth, and child obesity. Public and patient involvement was included in eleven studies. Methods of research prioritisation included workshops, Delphi techniques, surveys, focus groups and interviews. The quality of empirical evidence was diverse. None of the exercises followed all good practice principles as outlined in the checklist. Areas that were lacking in particular were: the lack of a comprehensive approach to guide the process; limited use of criteria to guide discussion around priorities; unequal or no representation from ethnic minorities, and poor evaluation of their own processes.

          Conclusions

          Research priority setting practices were found to mostly not follow good practice guidelines which aim to ensure rigour in priority setting activities and support the inclusion of BAME communities in establishing the research agenda. Research is unlikely to deliver useful findings that can support relevant research and positive change for BAME communities unless they fulfil areas of good practice such as inclusivity of key stakeholders’ input, planning for implementation of identified priorities, criteria for deciding on priorities, and evaluation of their processes in research priority setting.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: not found
          • Article: not found

          Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Disparities in the Population at Risk of Severe Illness From COVID-19 by Race/Ethnicity and Income

            INTRODUCTION Identifying those at heightened risk of severe illness from novel coronavirus disease 2019 (COVID-19) is essential for modeling disease, designing return-to-work criteria, allocating economic assistance, advancing health equity, and limiting morbidity and mortality. The U.S. Centers for Disease Control and Prevention has identified criteria associated with risk of severe complications from COVID-19 infection (Appendix Table 1). 1 Structural inequities have shaped racial, ethnic, and income disparities for many of these criteria. To date, there has been limited analysis of the proportion of the population at risk in the U.S. based on these criteria, 2 or risk factors by race/ethnicity or income. Preliminary national data on cases by race/ethnicity suggest that disparities in hospitalization are already developing. 3 Quantifying disparities in risk is important for allocating resources to prevent, identify, and treat COVID-19-related severe illness and limit diverging outcomes for already vulnerable subgroups. METHODS The authors used data from the 2018 Behavioral Risk Factor Surveillance System, a nationally representative survey of >400,000 adults. This study estimated the proportion of adults that have at least one of the Centers for Disease Control and Prevention criteria for risk of severe illness from COVID-19 (hereafter “higher risk”) (Appendix Table 1) by age group, and by race/ethnicity and household income ( 65 years (63% vs 52%, PR=1.21, 95% CI=1.18, 1.24) (Appendix Table 9). DISCUSSION People who are black, American Indian, or live in low-income households are more likely to have conditions associated with increased risk of illness from COVID-19 relative to those who are white or higher income, respectively. These inequities in risk are compounded by structural disparities in access to medical insurance, 4 wealth, and income volatility. 5 Structural inequities also contribute to heightened exposure to COVID-19. Minorities and people living in low-income households are more likely to work in industries that have remained open during non-essential business closures. 6 They are also more likely to live in crowded conditions 7 and multigenerational households that may elevate exposure and limit options for quarantining family members. It is vital that these race/ethnicity and income disparities in risk be considered in physical distancing policies and other protective measures, particularly for those who work in essential industries. Rationing resources based on comorbidities may exacerbate inequities, whereas prioritizing vaccine delivery on risk may reduce deaths and disparities. Data availability in the Behavioral Risk Factor Surveillance System is a limiting factor; the data do not include all risk criteria and only capture respondents who were aware of their condition. These estimates represent a lower bound of adults at risk of severe illness. It is possible that risk is not uniform and those with multiple factors may be at higher risk. This would be further evidence of race/ethnicity and income disparities.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A checklist for health research priority setting: nine common themes of good practice

              Health research priority setting processes assist researchers and policymakers in effectively targeting research that has the greatest potential public health benefit. Many different approaches to health research prioritization exist, but there is no agreement on what might constitute best practice. Moreover, because of the many different contexts for which priorities can be set, attempting to produce one best practice is in fact not appropriate, as the optimal approach varies per exercise. Therefore, following a literature review and an analysis of health research priority setting exercises that were organized or coordinated by the World Health Organization since 2005, we propose a checklist for health research priority setting that allows for informed choices on different approaches and outlines nine common themes of good practice. It is intended to provide generic assistance for planning health research prioritization processes. The checklist explains what needs to be clarified in order to establish the context for which priorities are set; it reviews available approaches to health research priority setting; it offers discussions on stakeholder participation and information gathering; it sets out options for use of criteria and different methods for deciding upon priorities; and it emphasizes the importance of well-planned implementation, evaluation and transparency.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 May 2021
                2021
                : 16
                : 5
                : e0251685
                Affiliations
                [1 ] Faculty of Health Studies, University of Bradford, Bradford, United Kingdom
                [2 ] Bradford Institute for Health Research, Bradford Teaching Hospital NHS Foundation Trust, Bradford, United Kingdom
                Universidad del Desarrollo, CHILE
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-0895-1479
                Article
                PONE-D-20-29158
                10.1371/journal.pone.0251685
                8162667
                34048459
                fe9cf592-f61f-4bc1-991a-d61f60d83b6d
                © 2021 Iqbal 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.

                History
                : 16 September 2020
                : 1 May 2021
                Page count
                Figures: 1, Tables: 4, Pages: 20
                Funding
                Funded by: National Institute for Health Research under its Applied Research Collaboration Yorkshire and Humber
                Award ID: NIHR200166
                Award Recipient :
                Funded by: The UK Prevention Research Partnership
                Award ID: MR/S037527/1
                Award Recipient :
                Funded by: The UK Prevention Research Partnership
                Award ID: MR/S037527/1
                Award Recipient :
                Funded by: The National Institute for Health Research Clinical Research Network
                Award Recipient :
                Funded by: National Institute for Health Research under its Applied Research Collaboration Yorkshire and Humber
                Award Recipient :
                This work was supported by the National Institute for Health Research (NIHR) under its Applied Research Collaboration (ARC) Yorkshire and Humber in the form of Ph.D. funding to HI [NIHR200166], the UK Prevention Research Partnership (UKPRP) in the form of funding to JW and RM [MR/S037527/1], the NIHR Clinical Research Network in the form of funding to JW, and the NIHR ARC Yorkshire and Humber in the form of funding to RM.
                Categories
                Research Article
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Physical Fitness
                Exercise
                Medicine and Health Sciences
                Sports and Exercise Medicine
                Exercise
                Biology and Life Sciences
                Sports Science
                Sports and Exercise Medicine
                Exercise
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Health Systems Strengthening
                Research and Analysis Methods
                Research Design
                Survey Research
                Research and Analysis Methods
                Research Design
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Childhood Obesity
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article