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整合公众偏好以克服研究中的种族差异:一项关于增强对研究数据共享实践信任度的美国调查结果

Integrating public preferences to overcome racial disparities in research: findings from a US survey on enhancing trust in research data-sharing practices.

作者信息

Niño de Rivera Stephanie, Zhao Yihong, Omollo Shalom, Eslami Sarah, Benda Natalie, Sharma Yashika, Reading Turchioe Meghan, Sharko Marianne, Dugdale Lydia S, Masterson Creber Ruth

机构信息

Columbia University School of Nursing, Columbia University Irving Medical Center, New York, NY 10032, United States.

Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY 10065, United States.

出版信息

JAMIA Open. 2025 May 2;8(3):ooaf031. doi: 10.1093/jamiaopen/ooaf031. eCollection 2025 Jun.

Abstract

OBJECTIVES

Data-sharing policies are rapidly evolving toward increased data sharing. However, participants' perspectives are not well understood and could have an adverse impact on participation in research. We evaluated participants' preferences for sharing specific types of data with specific groups, and strategies to enhance trust in data-sharing practices.

MATERIALS AND METHODS

In March 2023, we conducted a nationally representative online survey with 610 US adults and used logistic regression models to assess sociodemographic differences in their willingness to share different types of data.

RESULTS

Our findings highlight notable racial disparities in willingness to share research data with external entities, especially health policy and public health organizations. Black participants were significantly less likely to share most health data with public health organizations, including mental health (odds ratio [OR]: 0.543, 95% CI, 0.323-0.895) and sexual health/fertility information (OR: 0.404, 95% CI, 0.228-0.691), compared to White participants. Moreover, 63% of participants expressed that their trust in researchers would improve if given control over the data recipients.

DISCUSSION

Participants exhibit reluctance to share specific types of personal research data, emphasizing strong preferences regarding external data access. This highlights the need for a critical reassessment of current data-sharing policies to align with participant concerns.

CONCLUSION

It is imperative for data-sharing policies to integrate diverse patient viewpoints to mitigate risk of distrust and a potential unintended consequence of lower participation among racial and ethnic minority participants in research.

摘要

目的

数据共享政策正在迅速朝着增加数据共享的方向发展。然而,参与者的观点尚未得到充分理解,可能会对研究参与产生不利影响。我们评估了参与者对于与特定群体共享特定类型数据的偏好,以及增强对数据共享实践信任的策略。

材料与方法

2023年3月,我们对610名美国成年人进行了一项具有全国代表性的在线调查,并使用逻辑回归模型评估他们在共享不同类型数据意愿方面的社会人口统计学差异。

结果

我们的研究结果凸显了在与外部实体(尤其是卫生政策和公共卫生组织)共享研究数据意愿方面显著的种族差异。与白人参与者相比,黑人参与者向公共卫生组织共享大多数健康数据的可能性显著更低,包括心理健康数据(优势比[OR]:0.543,95%置信区间,0.323 - 0.895)和性健康/生育信息(OR:0.404,95%置信区间,0.228 - 0.691)。此外,63%的参与者表示,如果能对数据接收者进行控制,他们对研究人员的信任将会提高。

讨论

参与者表现出不愿共享特定类型的个人研究数据,强调了对外部数据访问的强烈偏好。这凸显了对当前数据共享政策进行批判性重新评估以符合参与者关切的必要性。

结论

数据共享政策必须整合不同患者的观点,以降低不信任风险以及种族和少数民族参与者在研究中参与度降低这一潜在意外后果的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d576/12047078/71c7d25e8976/ooaf031f1.jpg

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