公平与行为数字化健康干预措施：提高效益和覆盖面的策略。
Equity and behavioral digital health interventions: Strategies to improve benefit and reach.
机构信息
Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
出版信息
Transl Behav Med. 2023 Jun 9;13(6):400-405. doi: 10.1093/tbm/ibad010.
BACKGROUND
Behavioral digital health interventions (e.g., mobile apps, websites, wearables) have been applied widely to improve health outcomes. However, many groups (e.g., people with low income levels, people who are geographically isolated, older adults) may face obstacles to technology access and use. In addition, research has found that biases and stereotypes can be embedded within digital health interventions. As such, behavioral digital health interventions that intend to improve overall population health may unintentionally widen health-related inequities.
PURPOSE
This commentary offers guidance and strategies to mitigate these risks when using technology as a means for delivering a behavioral health intervention.
METHODS
A collaborative working group from Society of Behavioral Medicine's Health Equity Special Interest Group developed a framework to center equity in the development, testing and dissemination of behavioral digital health interventions.
RESULTS
We introduce Partner, Identify, Demonstrate, Access, Report (PIDAR), a 5-point framework to avoid the creation, perpetuation, and/or widening of health inequities in behavioral digital health work.
CONCLUSIONS
It is critically important to prioritize equity when conducting digital health research. The PIDAR framework can serve as a guide for behavioral scientists, clinicians and developers.
背景
行为数字健康干预措施（例如，移动应用程序、网站、可穿戴设备）已广泛应用于改善健康结果。然而，许多群体（例如，收入水平较低的人、地理位置偏远的人、老年人）可能面临技术获取和使用的障碍。此外，研究发现，数字健康干预措施中可能存在偏见和刻板印象。因此，旨在改善整个人群健康的行为数字健康干预措施可能会无意中扩大与健康相关的不平等。
目的
当使用技术作为提供行为健康干预措施的手段时，本评论提供了指导和策略来减轻这些风险。
方法
行为医学学会健康公平特别兴趣小组的一个合作工作组制定了一个框架，将公平置于行为数字健康干预措施的开发、测试和传播的中心。
结果
我们引入了 Partner、Identify、Demonstrate、Access、Report（PIDAR），这是一个 5 点框架，用于避免在行为数字健康工作中产生、延续和/或扩大健康不平等。
结论
在进行数字健康研究时，优先考虑公平至关重要。PIDAR 框架可以作为行为科学家、临床医生和开发者的指南。
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