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Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation.
Wu, Xiaoqian; Xu, Lin; Li, PengFei; Tang, TingTing; Huang, Cheng.
  • Wu X; College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Xu L; Medical Data Science Academy, Chongqing Medical University, Chongqing, China.
  • Li P; College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Tang T; Medical Data Science Academy, Chongqing Medical University, Chongqing, China.
  • Huang C; School of Public Health, Weifang Medical University, Weifang, China.
JMIR Mhealth Uhealth ; 10(1): e34054, 2022 01 04.
Article in English | MEDLINE | ID: covidwho-1662535
ABSTRACT

BACKGROUND:

Mental disorders impose varying degrees of burden on patients and their surroundings. However, people are reluctant to take the initiative to seek mental health services because of the uneven distribution of resources and stigmatization. Thus, mobile apps are considered an effective way to eliminate these obstacles and improve mental health awareness.

OBJECTIVE:

This study aims to evaluate the quality, function, privacy measures, and evidence-based and professional background of multipurpose mental health apps in Chinese commercial app stores.

METHODS:

A systematic search was conducted on iOS and Android platforms in China to identify multipurpose mental health apps. Two independent reviewers evaluated the identified mobile apps using the Mobile App Rating Scale (MARS). Each app was downloaded, and the general characteristics, privacy and security measures, development background, and functional characteristics of each app were evaluated.

RESULTS:

A total of 40 apps were analyzed, of which 35 (87.5%) were developed by companies and 33 (82.5%) provided links to access the privacy policy; 21 (52.5%) apps did not mention the involvement of relevant professionals or the guidance of a scientific basis in the app development process. The main built-in functions of these apps include psychological education (38/40, 95%), self-assessment (34/40, 85%), and counseling (33/40, 82.5%). The overall quality average MARS score of the 40 apps was 3.54 (SD 0.39), and the total score was between 2.96 and 4.30. The total MARS score was significantly positively correlated with the scores of each subscale (r=0.62-0.88, P<.001). However, the user score of the app market was not significantly correlated with the total MARS score (r=0.17, P=.33).

CONCLUSIONS:

The quality of multipurpose mental health apps in China's main app market is generally good. However, health professionals are less involved in the development of these apps, and the privacy protection policy of the apps also needs to be described in more detail. This study provides a reference for the development of multipurpose mental health apps.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mobile Applications Type of study: Experimental Studies / Prognostic study / Qualitative research / Reviews / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Journal: JMIR Mhealth Uhealth Year: 2022 Document Type: Article Affiliation country: 34054

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mobile Applications Type of study: Experimental Studies / Prognostic study / Qualitative research / Reviews / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Journal: JMIR Mhealth Uhealth Year: 2022 Document Type: Article Affiliation country: 34054