This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Usability of Apps and User Perceptions of mHealth (1188) Hypertension Prevention and Treatment (296) Human Factors and Usability Case Studies (1005) Development and Evaluation of Research Methods, Instruments and Tools (744) Physician and Health Services Rating by Consumers (140) Cardiac Disease Management (156) Chronic Conditions (434)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55199, first published .
Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Authors of this article:

Yunfan He1 Author Orcid Image ;   Wei Zhu2, 3 Author Orcid Image ;   Tong Wang4, 5, 6 Author Orcid Image ;   Han Chen7 Author Orcid Image ;   Junyi Xin8 Author Orcid Image ;   Yongcheng Liu9 Author Orcid Image ;   Jianbo Lei10, 11, 12 Author Orcid Image ;   Jun Liang1, 13, 14, 15 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. He Y, Chen H, Xiang P, Zhao M, Li Y, Liu Y, Wang T, Liang J, Lei J. Establishing an Evaluation Indicator System for User Satisfaction With Hypertension Management Apps: Combining User-Generated Content and Analytic Hierarchy Process. Journal of Medical Internet Research 2024;26:e60773 View
  2. Morenigbade H, Al Jaber T, Gordon N, Eke G, Hasan N. Evaluating and implementing machine learning models for personalised mobile health app recommendations. PLOS ONE 2025;20(3):e0319828 View
  3. Liang J, Fang Q, Jiao X, Xiang P, Ma J, Zhang Z, Liu Y, He Y, Li Y, He Z, Lei J. Approved trends and product characteristics of digital therapeutics in four countries. npj Digital Medicine 2025;8(1) View
  4. Jiao X, Jiang L, Zhao M, Ma J, Li Y, Shen T, Liu Y, Hu Y, Lu Z, Xing M, Liang J, Xiang P, Lei J. User Satisfaction With Pregnancy Management Apps in Mainland China: User-Generated Content Analysis and Text Mining Study. Journal of Medical Internet Research 2025;27:e78828 View
  5. Zhao L, Li Q, Ma M, Feng Y, Wang S, Shen Z, Guo X, Miao Y, Wu J. Quantifying the association of Life’s Crucial 9 with cardiovascular diseases among elderly hypertensive patients managed in primary care settings. Population Health Metrics 2025;23(1) View
  6. He Y, Ye L, He X, Chen J, Wang T, Qiao L, Pu H, Li Y, Wang Y, Jiao X, Fang Q, Ma J, Xing M, Hu Y, Zhou T, Liang J, Lei J, Star X Z. Exploring patient satisfaction and its influencing factors in Chinese internet hospitals: An analysis using two-factor theory and Kano model based on user-generated contents. DIGITAL HEALTH 2025;11 View

Books/Policy Documents

  1. Thapliyal K, Thapliyal M, Thapliyal D. Digitalization and the Transformation of the Healthcare Sector. View