Bucher Amy, Chaudhry Beenish M, Davis Jean W, Lawrence Katharine, Panza Emily, Baqer Manal, Feinstein Rebecca T, Fields Sherecce A, Huberty Jennifer, Kaplan Deanna M, Kusters Isabelle S, Materia Frank T, Park Susanna Y, Kepper Maura
Behavioral Reinforcement Learning Lab (BReLL), Lirio, Inc., Knoxville, Tennessee, United States of America.
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, Louisiana, United States of America.
PLOS Digit Health. 2024 Aug 22;3(8):e0000591. doi: 10.1371/journal.pdig.0000591. eCollection 2024 Aug.
With a renewed focus on health equity in the United States driven by national crises and legislation to improve digital healthcare innovation, there is a need for the designers of digital health tools to take deliberate steps to design for equity in their work. A concrete toolkit of methods to design for health equity is needed to support digital health practitioners in this aim. This narrative review summarizes several health equity frameworks to help digital health practitioners conceptualize the equity dimensions of importance for their work, and then provides design approaches that accommodate an equity focus. Specifically, the Double Diamond Model, the IDEAS framework and toolkit, and community collaboration techniques such as participatory design are explored as mechanisms for practitioners to solicit input from members of underserved groups and better design digital health tools that serve their needs. Each of these design methods requires a deliberate effort by practitioners to infuse health equity into the approach. A series of case studies that use different methods to build in equity considerations are offered to provide examples of how this can be accomplished and demonstrate the range of applications available depending on resources, budget, product maturity, and other factors. We conclude with a call for shared rigor around designing digital health tools that deliver equitable outcomes for members of underserved populations.
在美国,受国家危机和旨在促进数字医疗创新的立法推动,人们重新关注健康公平,数字健康工具的设计者需要采取审慎步骤,在工作中进行公平设计。需要一个具体的健康公平设计方法工具包,以支持数字健康从业者实现这一目标。本叙述性综述总结了几个健康公平框架,以帮助数字健康从业者将对其工作重要的公平维度概念化,然后提供以公平为重点的设计方法。具体而言,探讨了双钻石模型、IDEAS框架和工具包,以及参与式设计等社区协作技术,作为从业者征求服务不足群体成员意见并更好地设计满足其需求的数字健康工具的机制。这些设计方法中的每一种都要求从业者做出审慎努力,将健康公平融入方法之中。提供了一系列使用不同方法纳入公平考量的案例研究,以举例说明如何做到这一点,并展示根据资源、预算、产品成熟度和其他因素可用的应用范围。我们呼吁在设计为服务不足人群提供公平结果的数字健康工具时保持共同的严谨性。