Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis
Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis
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DOI:
10.2196/14567
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发表时间:
2019-09-25
影响因子:
7.4
通讯作者:
Kane, John M.
中科院分区:
文献类型:
--
作者:
Baumel, Amit;Muench, Frederick;Kane, John M.
Background: Understanding patterns of real-world usage of mental health apps is key to maximizing their potential to increase public self-management of care. Although developer-led studies have published results on the use of mental health apps in real-world settings, no study yet has systematically examined usage patterns of a large sample of mental health apps relying on independently collected data.Objective: Our aim is to present real-world objective data on user engagement with popular mental health apps.Methods: A systematic engine search was conducted using Google Play to identify Android apps with 10,000 installs or more targeting anxiety, depression, or emotional well-being. Coding of apps included primary incorporated techniques and mental health focus. Behavioral data on real-world usage were obtained from a panel that provides aggregated nonpersonal information on user engagement with mobile apps.Results: In total, 93 apps met the inclusion criteria (installs: median 100,000, IQR 90,000). The median percentage of daily active users (open rate) was 4.0% (IQR 4.7%) with a difference between trackers (median 6.3%, IQR 10.2%) and peer-support apps (median 17.0%) versus breathing exercise apps (median 1.6%, IQR 1.6%; all z >= 3.42, all P= 2.11, all P= 2.18, all P