Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States.
Center for Weight, Eating and Lifestyle Sciences, Drexel University, Philadelphia, PA, United States.
JMIR Form Res. 2024 Nov 18;8:e60865. doi: 10.2196/60865.
Deterioration rates after enhanced cognitive behavioral therapy (CBT-E) for patients with bulimia-spectrum eating disorders (BN-EDs) remain high, and decreased posttreatment skill use might be a particularly relevant contributor. Digital interventions could be an ideal option to improve skill use after treatment ends but they have yet to be investigated for BN-EDs.
This study used a user-centered design approach to explore patients' interest in a digital intervention to prevent deterioration after CBT-E and their desired features.
A total of 12 participants who previously received CBT-E for BN-EDs and experienced at least a partial response to treatment completed a qualitative interview asking about their interests and needs for an app designed to prevent deterioration after treatment ended. Participants were also presented with features commonly used in digital interventions for EDs and were asked to provide feedback.
All 12 participants expressed interest in using an app to prevent deterioration after treatment ended. In total, 11 participants thought the proposed feature of setting a goal focusing on skill use weekly would help improve self-accountability for skill use, and 6 participants supported the idea of setting goals related to specific triggers because they would know what skills to use in high-risk situations. A total of 10 participants supported the self-monitoring ED behaviors feature because it could increase their awareness levels. Participants also reported wanting to track mood (n=6) and food intake (n=5) besides the proposed tracking feature. A total of 10 participants reported wanting knowledge-based content in the app, including instructions on skill practice (n=6), general mental health strategies outside of EDs (n=4), guided mindfulness exercises (n=3), and nutrition recommendations (n=3). Eight participants reported a desire for the app to send targeted push notifications, including reminders of skill use (n=7) and inspirational quotes for encouragement (n=3). Finally, 8 participants reported wanting a human connection in the app, 6 participants wishing to interact with other users to support and learn from each other, and 4 participants wanting to connect with professionals as needed. Overall, participants thought that having an app targeting skill use could provide continued support and improve self-accountability, thus lowering the risk of decreased skill use after treatment ended.
Insights from participants highlighted the perceived importance of continued support for continued skill use after treatment ended. This study also provided valuable design implications regarding potential features focusing on facilitating posttreatment skill use to include in digital deterioration prevention programs. Future research should examine the optimal approaches to deliver the core features identified in this study that could lead to higher continued skill use and a lower risk of deterioration in the long term.
接受强化认知行为治疗(CBT-E)后,暴食障碍谱系进食障碍(BN-ED)患者的恶化率仍然很高,而治疗后技能使用减少可能是一个特别相关的因素。数字干预可能是改善治疗结束后技能使用的理想选择,但尚未针对 BN-ED 进行研究。
本研究采用以用户为中心的设计方法,探讨患者对预防 CBT-E 后恶化的数字干预措施的兴趣以及他们的期望特征。
共有 12 名参与者之前接受过 BN-ED 的 CBT-E 治疗,并且对治疗有部分反应,他们完成了一项定性访谈,询问他们对设计用于治疗结束后预防恶化的应用程序的兴趣和需求。还向参与者展示了常用于 ED 数字干预的功能,并要求他们提供反馈。
所有 12 名参与者都表示有兴趣使用应用程序来预防治疗结束后的恶化。总的来说,有 11 名参与者认为每周设定一个专注于技能使用的目标的拟议功能将有助于提高对技能使用的自我问责制,而 6 名参与者支持设定与特定触发因素相关的目标的想法,因为他们会知道在高风险情况下使用哪些技能。共有 10 名参与者支持 ED 行为自我监测功能,因为它可以提高他们的意识水平。参与者还报告希望跟踪情绪(n=6)和食物摄入量(n=5),除了拟议的跟踪功能。共有 10 名参与者报告希望在应用程序中包含基于知识的内容,包括技能练习说明(n=6)、ED 之外的一般心理健康策略(n=4)、引导式正念练习(n=3)和营养建议(n=3)。8 名参与者报告希望应用程序发送有针对性的推送通知,包括技能使用提醒(n=7)和鼓励性的名言(n=3)。最后,8 名参与者报告希望在应用程序中建立人际联系,6 名参与者希望与其他用户互动,相互支持和学习,4 名参与者希望在需要时与专业人员联系。总的来说,参与者认为针对技能使用的应用程序可以提供持续的支持,并提高自我问责制,从而降低治疗结束后技能使用减少的风险。
参与者的观点强调了治疗结束后持续支持和继续使用技能的重要性。本研究还提供了有关数字恶化预防计划中可能包括的促进治疗后技能使用的潜在功能的有价值的设计启示。未来的研究应研究提供本研究中确定的核心功能的最佳方法,这些功能可能会导致更高的持续技能使用和长期恶化风险降低。