Bridging the United States population diversity gaps in clinical research: roadmap to precision health and reducing health disparities.

Youssef Roman
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Abstract

Precision medicine promises improved health outcomes by tailoring treatments to individual genetic and environmental factors. However, achieving this potential is hindered by persistent health disparities and the underrepresentation of racially and ethnically diverse populations in clinical trials. Limited diversity in research exacerbates health inequities, reducing the generalizability of findings and widening gaps in access to effective treatments. This review outlines a multi-faceted strategy to bridge diversity gaps in clinical trials, focusing on community engagement, clinical pharmacology, and regulatory science. Key approaches include decentralized trials, targeted recruitment, advanced data modeling, and comprehensive integration of genetic and social determinants of health data. Regulatory frameworks, such as diversity action plans, play a crucial role in ensuring equitable access to precision health innovations. Increasing representation in research enhances the reliability of clinical data and fosters health equity by addressing differences in disease prevalence, treatment responses, and healthcare access. By leveraging technological advancements and inclusive research methodologies, this framework aims to transform clinical trials into a roadmap for equitable healthcare. Ensuring diverse participation in research is essential for the successful implementation of precision medicine and realizing the full potential of precision health, ultimately reducing health disparities and promoting fair access to medical advancements across all populations.

弥合美国临床研究中的人口多样性差距:精确健康路线图和减少健康差距。
精准医疗通过根据个体基因和环境因素定制治疗方案,有望改善健康状况。然而,实现这一潜力受到持续存在的健康差距和临床试验中不同种族和民族人口代表性不足的阻碍。研究的有限多样性加剧了卫生不平等,降低了研究结果的普遍性,并扩大了获得有效治疗方面的差距。本综述概述了一个多方面的战略,以弥合临床试验的多样性差距,重点是社区参与、临床药理学和监管科学。关键方法包括分散试验、有针对性的招募、先进的数据建模以及健康数据的遗传和社会决定因素的全面整合。多样性行动计划等监管框架在确保公平获得精准卫生创新方面发挥着至关重要的作用。增加在研究中的代表性可以提高临床数据的可靠性,并通过解决疾病流行、治疗反应和医疗保健获取方面的差异,促进卫生公平。通过利用技术进步和包容性研究方法,该框架旨在将临床试验转变为公平医疗保健的路线图。确保研究的多样化参与对于成功实施精准医疗和实现精准健康的全部潜力至关重要,从而最终缩小健康差距并促进所有人群公平获得医疗进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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