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评估用于抑郁症自我管理的市售移动应用程序。

Evaluating Commercially Available Mobile Apps for Depression Self-Management.

作者信息

Myers Annie, Chesebrough Lewis, Hu Ruixuan, Turchioe Meghan Reading, Pathak Jyotishman, Creber Ruth Masterson

机构信息

Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.

Enterprise Data Group, Information Systems, Memorial Sloan Kettering Cancer Center, New York, NY.

出版信息

AMIA Annu Symp Proc. 2021 Jan 25;2020:906-914. eCollection 2020.

Abstract

Clinical depression affects 17.3 million adults in the U.S. However, 37% of these adults receive no treatment, and many symptoms remain unmanaged. Mobile health apps may complement in-person treatment and address barriers to treatment, yet their quality has not been systematically appraised. We conducted a systematic review of apps for depression by searching in three major app stores. Apps were selected using specific inclusion and exclusion criteria. The final apps were downloaded and independently evaluated using the Mobile Application Rating Scale (MARS), IMS Institute for Healthcare Informatics functionality score, and six features specific to depression self-management. Mobile health apps for depression self-management exhibit a wide range of quality, but more than half (74%) of the apps had acceptable quality, with 32% having MARS scores ≥ 4.0 out of 5.0. These high scoring apps indicate that mobile apps have the potential to improve patient self-management, treatment engagement, and mental health outcomes.

摘要

在美国,临床抑郁症影响着1730万成年人。然而,这些成年人中有37%未接受治疗,许多症状也未得到控制。移动健康应用程序可能会辅助面对面治疗并消除治疗障碍,但其质量尚未得到系统评估。我们通过在三大应用商店中搜索,对抑郁症应用程序进行了系统评价。应用程序是根据特定的纳入和排除标准选择的。最终的应用程序被下载,并使用移动应用评分量表(MARS)、IMS医疗保健信息学研究所功能评分以及抑郁症自我管理的六个特定功能进行独立评估。用于抑郁症自我管理的移动健康应用程序质量参差不齐,但超过一半(74%)的应用程序质量尚可,其中32%的应用程序MARS评分在5.0分制中≥4.0分。这些高分应用程序表明,移动应用程序有潜力改善患者的自我管理、治疗参与度和心理健康结果。

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