Assessment of Mental Health Services Available Through Smartphone Apps

人气 心理健康 互联网隐私 心理学 智能手机应用程序 应用商店 移动应用程序 互操作性 会话(web分析) 应用心理学 万维网 计算机科学 精神科 社会心理学
作者
Erica Camacho,Asher Cohen,John Torous
出处
期刊:JAMA network open [American Medical Association]
卷期号:5 (12): e2248784-e2248784 被引量:9
标识
DOI:10.1001/jamanetworkopen.2022.48784
摘要

Importance As more patients and clinicians are turning to mental health smartphone apps to expand access to services, little is known about the current state of the app marketplaces and what these apps are actually offering in terms of features, privacy, price, and services. Objective To assess the current state of mental health apps, explore the association between app privacy scores and popularity as measured by star ratings and downloads, and to understand opportunities and challenges facing the commercial app landscape. Design, Setting, and Participants This cross-sectional study had trained raters using the public-facing M-Health Index and Navigation Database (MIND) to assess and review 578 mental health apps. The sample of apps used in this analysis were pulled from MIND and include apps across various conditions including schizophrenia, eating disorders, sleep, and more. Analysis of these apps was conducted in June 2022. Exposures There were 578 mental health apps rated across 105 dimensions derived from the American Psychiatric Association’s app evaluation framework. Main Outcomes and Measures App raters assessed each app across 6 categories: (1) app origin and accessibility, (2) privacy and security, (3) clinical foundation, (4) features and engagement, (5) inputs and outputs, and (6) interoperability. Privacy scores were determined by 5 MIND criteria, including (1) having a privacy policy, (2) reporting security measures in place, (3) declaring data use and purpose, (4) allowing for the deletion of data, and (5) allowing users to opt out of data collection. Correlations between privacy scores and popularity metrics (star ratings and number of downloads) were measured. Results This study included 578 mental health apps that were identified, assessed, and analyzed across 105 MIND dimensions. Psychoeducation, goal setting, and mindfulness were among the top app features. Of the 578 apps analyzed, 443 (77%) had a privacy policy. This analysis of apps with a privacy policy revealed that there was no statistically significant correlation between privacy scores and Apple App Store ( r = 0.058, P = .29) or Google Play Store star ratings ( r = 0.041; P = .48). The number of app downloads on the Google Play Store, however, was weakly correlated with privacy scores (χ 2 5 = 22.1; P < .001). Conclusions and Relevance In this cross-sectional study of mental health apps, findings indicate that the current app marketplaces primarily offered basic features such as psychoeducation, goal tracking, and mindfulness but fewer innovative features such as biofeedback or specialized therapies. Privacy challenges remained common, and app popularity metrics provided little help in identifying apps with more privacy.
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