Developing a roadmap to improve trial delivery for underserved groups: results from a UK multi-stakeholder process
Autor: | Alistair S. Hall, Camille Carroll, Joanna Knee, Eleanor Anderson, Amanda Tortice, Paul Dark, Kim Down, James Wason, Laurie Oliva, Miles D. Witham, Gail Mountain, Lynn Rochester, Gary Nestor, Sarah R. Prowse, Rebecca Maier |
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Přispěvatelé: | Apollo - University of Cambridge Repository, Wason, James [0000-0002-4691-126X] |
Rok vydání: | 2020 |
Předmět: |
Process management
Consensus Process (engineering) Psychological intervention Medicine (miscellaneous) Language barrier Medically Underserved Area Trust Representativeness heuristic 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires Health care Stakeholder Medicine Humans Pharmacology (medical) 030212 general & internal medicine Trials lcsh:R5-920 Clinical Trials as Topic business.industry Research United Kingdom Under-served Roadmap Cross-Sectional Studies Work (electrical) Research Design 030220 oncology & carcinogenesis Recruitment Patient Participation business lcsh:Medicine (General) Inclusion (education) |
Zdroj: | Trials, Vol 21, Iss 1, Pp 1-9 (2020) Trials Witham, M D, Anderson, E, Carroll, C, Dark, P M, Down, K, Hall, A S, Knee, J, Maier, R H, Mountain, G A, Nestor, G, Oliva, L, Prowse, S R, Tortice, A, Wason, J & Rochester, L 2020, ' Developing a roadmap to improve trial delivery for under-served groups: results from a UK multi-stakeholder process ', Trials, vol. 21, no. 1 . https://doi.org/10.1186/s13063-020-04613-7, https://doi.org/10.1186/s13063-020-04613-7 |
DOI: | 10.21203/rs.2.21325/v2 |
Popis: | Background Participants in clinical research studies often do not reflect the populations for which healthcare interventions are needed or will be used. Enhancing representation of under-served groups in clinical research is important to ensure that research findings are widely applicable. We describe a multicomponent workstream project to improve representation of under-served groups in clinical trials. Methods The project comprised three main strands: (1) a targeted scoping review of literature to identify previous work characterising under-served groups and barriers to inclusion, (2) surveys of professional stakeholders and participant representative groups involved in research delivery to refine these initial findings and identify examples of innovation and good practice and (3) a series of workshops bringing together key stakeholders from funding, design, delivery and participant groups to reach consensus on definitions, barriers and a strategic roadmap for future work. The work was commissioned by the UK National Institute for Health Research Clinical Research Network. Output from these strands was integrated by a steering committee to generate a series of goals, workstream plans and a strategic roadmap for future development work in this area. Results ‘Under-served groups’ was identified and agreed by the stakeholder group as the preferred term. Three-quarters of stakeholders felt that a clear definition of under-served groups did not currently exist; definition was challenging and context-specific, but exemplar groups (e.g. those with language barriers or mental illness) were identified as under-served. Barriers to successful inclusion of under-served groups could be clustered into communication between research teams and participant groups; how trials are designed and delivered, differing agendas of research teams and participant groups; and lack of trust in the research process. Four key goals for future work were identified: building long-term relationships with under-served groups, developing training resources to improve design and delivery of trials for under-served groups, developing infrastructure and systems to support this work and working with funders, regulators and other stakeholders to remove barriers to inclusion. Conclusions The work of the INCLUDE group over the next 12 months will build on these findings by generating resources customised for different under-served groups to improve the representativeness of trial populations. |
Databáze: | OpenAIRE |
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