Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling

• Published in: Journal of medical Internet research Vol. 25; no. 1; p. e42856
• Main Authors: Nuo, Mingfu, Zheng, Shaojiang, Wen, Qinglian, Fang, Hongjuan, Wang, Tong, Liang, Jun, Han, Hongbin, Lei, Jianbo
• Format: Journal Article
• Language: English
• Published: Canada Gunther Eysenbach MD MPH, Associate Professor 31.01.2023; JMIR Publications
• Subjects: Asymmetry; China; Clustering; Content analysis; Data mining; Deviation; Discontent; Emotions; Health promotion; Humans; Hygiene; Internet; Mobile Applications; Motivation; Natural language processing; Original Paper; Personal Satisfaction; Ratings & rankings; Sleep; Sleep disorders; Telemedicine; Telemedicine - methods; Topics; User satisfaction; China; United States > US; mobile health applications; topic modeling; sleep disorder; Herzberg’s 2-factor theory; machine learning

Sleep disorders are a global challenge, affecting a quarter of the global population. Mobile health (mHealth) sleep apps are a potential solution, but 25% of users stop using them after a single use. User satisfaction had a significant impact on continued use intention. This China-US comparison stud...