Kopka Marvin, Camacho Erica, Kwon Sam, Torous John
Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Charitéplatz 1, Berlin, Germany.
PLOS Digit Health. 2023 Mar 29;2(3):e0000219. doi: 10.1371/journal.pdig.0000219. eCollection 2023 Mar.
The prevalence of mental health app use by people suffering from mental health disorders is rapidly growing. The integration of mental health apps shows promise in increasing the accessibility and quality of treatment. However, a lack of continued engagement is one of the significant challenges of such implementation. In response, the M-health Index and Navigation Database (MIND)- derived from the American Psychiatric Association's app evaluation framework- was created to support patient autonomy and enhance engagement. This study aimed to identify factors influencing engagement with mental health apps and explore how MIND may affect user engagement around selected apps. We conducted a longitudinal online survey over six weeks after participants were instructed to find mental health apps using MIND. The survey included demographic information, technology usage, access to healthcare, app selection information, System Usability Scale, the Digital Working Alliance Inventory, and the General Self-Efficacy Scale questions. Quantitative analysis was performed to analyze the data. A total of 321 surveys were completed (178 at the initial, 90 at the 2-week mark, and 53 at the 6-week mark). The most influential factors when choosing mental health apps included cost (76%), condition supported by the app (59%), and app features offered (51%), while privacy and clinical foundation to support app claims were among the least selected filters. The top ten apps selected by participants were analyzed for engagement. Rates of engagement among the top-ten apps decreased by 43% from the initial to week two and 22% from week two to week six on average. In the context of overall low engagement with mental health apps, implementation of mental health app databases like MIND can play an essential role in maintaining higher engagement and satisfaction. Together, this study offers early data on how educational approaches like MIND may help bolster mental health apps engagement.
患有精神健康障碍的人群使用心理健康应用程序的比例正在迅速增长。心理健康应用程序的整合有望提高治疗的可及性和质量。然而,缺乏持续参与是此类应用实施的重大挑战之一。作为回应,源自美国精神病学协会应用程序评估框架的移动健康指数与导航数据库(MIND)应运而生,以支持患者自主并增强参与度。本研究旨在确定影响心理健康应用程序参与度的因素,并探讨MIND如何影响围绕选定应用程序的用户参与度。在指示参与者使用MIND查找心理健康应用程序后,我们进行了为期六周的纵向在线调查。该调查包括人口统计学信息、技术使用情况、医疗保健获取情况、应用程序选择信息、系统可用性量表、数字工作联盟清单以及一般自我效能量表问题。对数据进行了定量分析。总共完成了321份调查问卷(初始阶段178份,第2周时90份,第6周时53份)。选择心理健康应用程序时最具影响力的因素包括成本(76%)、应用程序支持的病症(59%)以及提供的应用程序功能(51%),而隐私和支持应用程序声明的临床基础是最少被选择的筛选因素。对参与者选择的十大应用程序的参与度进行了分析。十大应用程序的参与率从初始阶段到第二周平均下降了43%,从第二周到第六周平均下降了22%。在心理健康应用程序总体参与度较低的背景下,像MIND这样的心理健康应用程序数据库的实施对于保持较高的参与度和满意度可以发挥重要作用。总之,本研究提供了关于像MIND这样的教育方法如何有助于提高心理健康应用程序参与度的早期数据。