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

Usability of Apps and User Perceptions of mHealth (1188) Design and Usability of Consumer Health Tech and Home Monitoring Devices (326) Design and Usability of Consumer Health Tech and Home Monitoring Devices (326) Economic Evaluations of mHealth Programs and Infrastructures (51) Use and User Demographics of mHealth (402) mHealth for Data Collection and Research (1196) Consumer & Patient Education and Shared-Decision Making (862) Economic Evaluations of mHealth Programs and Infrastructures (51) Use and User Demographics of mHealth (402) mHealth for Data Collection and Research (1196) Consumer & Patient Education and Shared-Decision Making (862)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25908, first published .
Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment

Authors of this article:

Zhenzhen Xie1 Author Orcid Image ;   Calvin Kalun Or1 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Hewage S, Senanayake S, Brain D, Allen M, McPhail S, Parsonage W, Walters T, Kularatna S. Preferences for Mobile App Features to Support People Living With Chronic Heart Diseases: Discrete Choice Study. JMIR mHealth and uHealth 2025;13:e58556 View
  2. Lee J, Kim J, Choi M, Shin J. A choice based conjoint analysis of mobile healthcare application preferences among physicians, patients, and individuals. npj Digital Medicine 2025;8(1) View
  3. Khor C, Hong M. Health Literacy in Mobile Health Applications: A Choice Modeling Study. Journal of Consumer Health on the Internet 2025;29(2):208 View
  4. Weber M, Mattli R, Raab A, Frei A, Haas K, Marcin T, Vorster A, Schmitt K. What to Consider When Developing Multidomain Mobile Health Interventions for Lifestyle Management. JMIR mHealth and uHealth 2025;13:e63573 View
  5. Xie Z, Or C, Ye X. Acceptance of mobile health applications by the general public: the roles of technology acceptance model constructs, health-app-specific factors, and socio-demographic moderators. Applied Ergonomics 2026;130:104655 View
  6. Xiang D, Qian Y, Liang D. Preferences for Digital Mental Health Services in Urban China: A Discrete Choice Experiment. Applied Health Economics and Health Policy 2025 View
  7. Abdullah , Hafeez N, Sardar K, Uroosa F, Fatima Z, Quintero Téllez R, Rodríguez J. GrowMore: Adaptive Tablet-Based Intervention for Education and Cognitive Rehabilitation in Children with Mild-to-Moderate Intellectual Disabilities. Computers 2025;14(11):495 View

Conference Proceedings

  1. Tejera J, Gokhale S, Gromisch E. 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). Trustworthiness Features of Commercially Available Mobile Health (mHealth) Applications View