Improving inclusivity in UK clinical trials through good practice in the collection and use of ethnicity data: recommendations from the INCLUDED study.

IF 10.8 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Ratna Sohanpal, Sian Newton, Percy Akudo, Grainne Colligan, Annette Crosse, Ceri Durham, Heidi Green, Sally Hopewell, Tracy Jackson, Sandra Jayacodi, Imran Khan, Charles Kwaku-Odoi, Emily Lam, Gillian A Lancaster, Sarah Ann Lawton, Meiko Makita, Kirit Mistry, Aliya Mohammed, Beatriz L Ratton, Jo Smith, Ria Sunga, Ann Thomson, Shaun Treweek, Clancy Williams, Manoj Mistry, Sandra Eldridge
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引用次数: 0

Abstract

Ethnicity data are essential in understanding how different groups are impacted by different treatments/healthcare interventions, but more work is needed in how these data should be collected, handled and reported in trials to address distrust among marginalised ethnic groups towards healthcare research. To do this, researchers need effective training and opportunities to engage with communities from a diverse range of ethnicities. Developing guidance on how to meaningfully involve diverse ethnic groups in all stages of a trial including planning the collection of ethnicity data is one way to improve the impact of clinical trial results and ensure these groups can access equitable healthcare.Our collaborative work between health researchers and diverse ethnic communities produced 13 initial recommendations aimed at academic health researchers to change their practice involving diverse ethnic communities in areas from trial design through to reporting. The first four recommendations are concerned with the planning stage of the trial, the fifth with how researchers interact with funding bodies. Recommendations 6, 7 and 8 are relevant to data collection during trial set up, and recommendations 9, 10 and 11 focus on training and responsibility during the trial set up and the trial conduct stage. Recommendations 12 and 13 cover reporting.The recommendations will benefit from piloting but have the potential to help trial teams make their research more inclusive with regard to ethnicity, which in turn will support more representative, equitable and impactful research.

通过收集和使用种族数据的良好实践提高英国临床试验的包容性:来自纳入研究的建议
种族数据对于了解不同群体如何受到不同治疗/医疗保健干预措施的影响至关重要,但是在如何在试验中收集、处理和报告这些数据以解决边缘化种族群体对医疗保健研究的不信任方面需要做更多的工作。要做到这一点,研究人员需要有效的培训和与来自不同种族的社区接触的机会。制定关于如何有意义地让不同族裔群体参与试验所有阶段的指导,包括规划族裔数据的收集,是改善临床试验结果影响并确保这些群体能够获得公平医疗保健的一种方法。我们在卫生研究人员和不同种族社区之间的合作工作产生了13项初步建议,旨在学术卫生研究人员改变他们在从试验设计到报告的各个领域涉及不同种族社区的做法。前四项建议与试验的规划阶段有关,第五项建议与研究人员如何与资助机构相互作用有关。建议6、7和8与试验设置期间的数据收集有关,建议9、10和11侧重于试验设置和试验进行阶段的培训和责任。建议12和13涉及报告。这些建议将受益于试点,但也有可能帮助试验团队使他们的研究在种族方面更具包容性,这反过来将支持更具代表性、公平和影响力的研究。
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来源期刊
BMJ Evidence-Based Medicine
BMJ Evidence-Based Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
8.90
自引率
3.40%
发文量
48
期刊介绍: BMJ Evidence-Based Medicine (BMJ EBM) publishes original evidence-based research, insights and opinions on what matters for health care. We focus on the tools, methods, and concepts that are basic and central to practising evidence-based medicine and deliver relevant, trustworthy and impactful evidence. BMJ EBM is a Plan S compliant Transformative Journal and adheres to the highest possible industry standards for editorial policies and publication ethics.
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