Evaluation of a recommender app for apps for the treatment of depression and anxiety: an analysis o f longitudinal user engagement
Evaluation of a recommender app for apps for the treatment of depression and anxiety: an analysis o f longitudinal user engagement
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DOI：
10.1093/jamia/ocy023
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发表时间：
2018-08-01
影响因子：
6.4
通讯作者：
Mohr, David C.
中科院分区：
文献类型：
--
作者：
Cheung, Ken;Ling, Wodan;Mohr, David C.
目的：虽然抑郁和焦虑是常见的心理健康问题，但只有一小部分人能够获得标准的一对一治疗。智能手机应用程序的使用可以填补这一空白。应用程序推荐系统可能有助于提高这些应用程序的用户参与度，并最终改善症状。方法：IntelliCare 是一套用于治疗抑郁和焦虑的应用程序，其中一个 Hub 应用程序提供旨在提高用户参与度的应用程序推荐。这项研究捕获了 12 个应用程序的 8057 位用户的记录。我们通过每周应用程序会话数（“忠诚度”）和 16 周内应用程序使用天数（“规律性”）纵向衡量总体参与度和特定于应用程序的使用情况。使用零膨胀泊松回归来比较 Hub 和非 Hub 用户的忠诚度、线性回归的规律性以及 Cox 回归的参与持续时间。我们对 4561 名具有基线特征的用户进行了调整分析。使用相同的方法评估 Hub 建议的影响。 结果：在调整后的分析中，与非 Hub 用户相比，Hub 用户停止 IntelliCare 的风险较低（风险比 = 0.67，95% CI，0.62-0.71），忠诚度较高（2 至 5 倍），规律性较高（0.1-0.4 天/周）。在 Hub 用户中，Hub 推荐提高了所有 12 个应用程序中特定于应用程序的忠诚度和规律性。 讨论/结论：集中式应用程序推荐提高了应用程序的整体用户参与度以及特定于应用程序的使用情况。将应用程序使用与症状联系起来的进一步研究可以验证这样的推荐器可以提高临床效益并且可以大规模实现。
Objective: While depression and anxiety are common mental health issues, only a small segment of the population has access to standard one-on-one treatment. The use of smartphone apps can fill this gap. An app recommender system may help improve user engagement of these apps and eventually symptoms.Methods: IntelliCare was a suite of apps for depression and anxiety, with a Hub app that provided app recommendations aiming to increase user engagement. This study captured the records of 8057 users of 12 apps. We measured overall engagement and app-specific usage longitudinally by the number of weekly app sessions ("loyalty") and the number of days with app usage ("regularity") over 16 weeks. Hub and non-Hub users were compared using zero-inflated Poisson regression for loyalty, linear regression for regularity, and Cox regression for engagement duration. Adjusted analyses were performed in 4561 users for whom we had baseline characteristics. Impact of Hub recommendations was assessed using the same approach.Results: When compared to non-Hub users in adjusted analyses, Hub users had a lower risk of discontinuing IntelliCare (hazard ratio = 0.67, 95% CI, 0.62-0.71), higher loyalty (2- to 5-fold), and higher regularity (0.1-0.4 day/week greater). Among Hub users, Hub recommendations increased app-specific loyalty and regularity in all 12 apps.Discussion/Conclusion: Centralized app recommendations increase overall user engagement of the apps, as well as app-specific usage. Further studies relating app usage to symptoms can validate that such a recommender improves clinical benefits and does so at scale.