Zimmermann Martha, Yonkers Kimberly A, Tabb Karen M, Schaefer Ana, Peacock-Chambers Elizabeth, Clare Camille A, Boudreaux Edwin D, Lemon Stephenie C, Byatt Nancy, Tulu Bengisu
University of Massachusetts Chan Medical School, Worcester, MA 01655, United States.
University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.
JAMIA Open. 2024 Nov 1;7(4):ooae112. doi: 10.1093/jamiaopen/ooae112. eCollection 2024 Dec.
Digital interventions are increasingly in demand to address mental health concerns, with significant potential to reach populations that disproportionately face barriers to accessing mental health care. Challenges with user engagement, however, persist. The goal of this study was to develop user personas to inform the development of a digital mental health intervention (DMHI) for a perinatal population.
We used participatory User-Centered Design (UCD) methods to generate and validate personas (ie, representative profiles of potential users). We applied this methodology to a case example of an Anxiety Sensitivity Intervention. Phases included (1) Characteristic identification, (2) Persona generation, (3) Persona consolidation, (4) Persona validation, and (5) Persona refinement. Advisory Council members with lived expertise of perinatal mental health conditions generated 6 personas. We used cluster analysis and qualitative analysis to consolidate personas. We used participant interviews with perinatal individuals experiencing depression or anxiety and economic marginalization ( = 12) to qualitatively validate and refine these personas.
We identified 4 user personas with potentially unique design needs that we characterized as being "Resilient," "Lonely," "Overwhelmed," and "Aware."
Personas generated through this process had distinct characteristics and design implications including the need to prioritize (1) content personalization, (2) additional content describing support options and resources (eg, doulas, midwives), (3) careful consideration of the type of information provided by users, and (4) transparent options for information and data sharing.
DMHIs will need to be adapted for relevance for a perinatal population. The personas we developed are suggestive of the need for design considerations specific to distinct potential user groups within this population.
数字干预措施在应对心理健康问题方面的需求日益增加,对于那些在获得心理健康护理方面面临不成比例障碍的人群具有显著的覆盖潜力。然而,用户参与度方面的挑战依然存在。本研究的目的是开发用户角色,以为围产期人群的数字心理健康干预措施(DMHI)的开发提供参考。
我们采用以用户为中心的参与式设计(UCD)方法来生成和验证角色(即潜在用户的代表性概况)。我们将此方法应用于焦虑敏感性干预的一个案例。阶段包括:(1)特征识别,(2)角色生成,(3)角色整合,(4)角色验证,以及(5)角色完善。具有围产期心理健康状况实际专业知识的咨询委员会成员生成了6个角色。我们使用聚类分析和定性分析来整合角色。我们对12名经历抑郁或焦虑以及经济边缘化的围产期个体进行了参与者访谈,以定性验证和完善这些角色。
我们识别出4个具有潜在独特设计需求的用户角色,我们将其特征描述为“坚韧型”、“孤独型”、“不堪重负型”和“有觉知型”。
通过此过程生成的角色具有不同的特征和设计含义,包括需要优先考虑:(1)内容个性化,(2)描述支持选项和资源(如导乐、助产士)的额外内容,(3)仔细考虑用户提供的信息类型,以及(4)信息和数据共享的透明选项。
DMHI需要针对围产期人群进行调整以确保相关性。我们开发的角色表明,对于该人群中不同的潜在用户群体,需要进行特定的设计考虑。