Stiles-Shields Colleen, Cummings Caroline, Montague Enid, Plevinsky Jill M, Psihogios Alexandra M, Williams Kofoworola D A
Section of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.
Department of Psychological Sciences, Texas Tech University, Lubbock, TX, United States.
Front Digit Health. 2022 Apr 25;4:848052. doi: 10.3389/fdgth.2022.848052. eCollection 2022.
Mental health disparities directly tie to structural racism. Digital mental health (DMH), the use of technologies to deliver services, have been touted as a way to expand access to care and reduce disparities. However, many DMH fail to mitigate the persistent disparities associated with structural racism that impact delivery (e.g., costs, dependable internet access)-and may even exacerbate them. Human-centered design (HCD) may be uniquely poised to design and test interventions alongside, rather than "for," marginalized individuals. In employing HCD methodologies, developers may proceed with a vested interest in understanding and establishing empathy with users and their needs, behaviors, environments, and constraints. As such, HCD used to mindfully address structural racism in behavioral health care may address shortcomings of prior interventions that have neglected to elevate the voices of marginalized individuals. We argue that a paradigm shift in behavioral health services research is critically needed-one that embraces HCD as a key methodological framework for developing and evaluating interventions with marginalized communities, to ultimately promote more accessible, useful, and equitable care. The current commentary illustrates practical examples of the use of HCD methodologies to develop and evaluate DMH designed with marginalized populations, while also highlighting its limitations and need for even greater inclusivity. Following this, calls to action to learn from and improve upon HCD methodologies will be detailed. Acknowledging potential limitations of current design practices, methodologies must ultimately engage representative voices beyond research participation and invest in their active role as compensated and true collaborators to intervention design.
心理健康差距与结构性种族主义直接相关。数字心理健康(DMH),即利用技术提供服务,被吹捧为一种扩大医疗服务可及性和减少差距的方式。然而,许多数字心理健康服务未能缓解与结构性种族主义相关的持续差距,这些差距影响服务提供(如成本、可靠的互联网接入),甚至可能加剧这些差距。以人为本的设计(HCD)可能特别适合与边缘化个体一起设计和测试干预措施,而不是“为了”他们设计。在采用以人为本的设计方法时,开发者可能带着既得利益去理解用户及其需求、行为、环境和限制,并与之建立同理心。因此,在行为医疗保健中用心解决结构性种族主义问题的以人为本的设计,可能会解决先前干预措施的不足之处,这些干预措施忽视了提升边缘化个体的声音。我们认为,行为健康服务研究迫切需要范式转变——将以人为本的设计作为开发和评估与边缘化社区相关干预措施的关键方法框架,以最终促进更易获得、更有用和更公平的医疗服务。当前的评论阐述了使用以人为本的设计方法来开发和评估为边缘化人群设计的数字心理健康服务的实际例子,同时也强调了其局限性以及对更大包容性的需求。在此之后,将详细阐述借鉴和改进以人为本的设计方法的行动呼吁。认识到当前设计实践的潜在局限性,方法最终必须纳入研究参与之外的代表性声音,并让他们积极参与,作为干预设计的有偿且真正的合作者。