Published on in Vol 24, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25959, first published .
Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Authors of this article:

Zhenzhen Xie1 Author Orcid Image ;   Jiayin Chen1 Author Orcid Image ;   Calvin Kalun Or1 Author Orcid Image

Journals

  1. Graf C, Fernández-Ávila D, Plazzotta F, Soriano E. Telehealth and Telemedicine in Latin American Rheumatology, a New Era After COVID-19. JCR: Journal of Clinical Rheumatology 2023;29(3):165 View
  2. Jia X, Andreou P, Brown C, Constantin E, Godbout R, Hanlon-Dearman A, Ipsiroglu O, Reid G, Shea S, Smith I, Zwicker J, Weiss S, Corkum P. An eHealth Program for Insomnia in Children With Neurodevelopmental Disorders (Better Nights, Better Days): Protocol for an Economic Evaluation of a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e46735 View
  3. Xie Z, Or C. Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment. JMIR mHealth and uHealth 2023;11:e25908 View
  4. An J, Fan W, Mittal A, Zhang Y, Chen A. Mobile App Use among Persons with Fibromyalgia: A Cross-sectional Survey. The Journal of Pain 2024;25(8):104515 View
  5. Maida E, Moccia M, Palladino R, Borriello G, Affinito G, Clerico M, Repice A, Di Sapio A, Iodice R, Spiezia A, Sparaco M, Miele G, Bile F, Scandurra C, Ferraro D, Stromillo M, Docimo R, De Martino A, Mancinelli L, Abbadessa G, Smolik K, Lorusso L, Leone M, Leveraro E, Lauro F, Trojsi F, Streito L, Gabriele F, Marinelli F, Ianniello A, De Santis F, Foschi M, De Stefano N, Morra V, Bisecco A, Coghe G, Cocco E, Romoli M, Corea F, Leocani L, Frau J, Sacco S, Inglese M, Carotenuto A, Lanzillo R, Padovani A, Triassi M, Bonavita S, Lavorgna L. ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis. Journal of Neurology 2024;271(7):4057 View
  6. Almalki Z, Alrashdi A, AlHuzaimi D, Alotaibi J, Alqahtani M, Alzahrani R, Alajmi S, AlOsaimi R, Majrashi S, Alahmari A, Alshehri A, Alzarea A, Imam M, Alshlowi A. Willingness to Pay for Telemedicine Services Among Uninsured Individuals in Saudi Arabia: A Cross-Sectional Survey. International Journal of General Medicine 2024;Volume 17:3879 View
  7. Heboyan V, Coule P, Mariotti D, De Leo G. Knowledge, Readiness, Willingness-to-Use, and Willingness-to-Pay for Telehealth in Nonlife-Threatening Emergency Department Visits. Telemedicine Reports 2025;6(1):34 View
  8. Li Y, Liu Z, Zhou L, Li R. Willingness to pay for vaccines in China: A systematic review and single-arm Bayesian meta-analysis. Human Vaccines & Immunotherapeutics 2025;21(1) View
  9. Kitano T, Tsuzuki S. Assessment of willingness to pay for a quality-adjusted life year in the post COVID-19 pandemic era in Japan. Public Health 2025;241:55 View
  10. Bui M, Groothuis-Oudshoorn C, Jimenez-Moreno A, Jones B, Berlin C, van Til J. Do We Always Need a New Preference Study? A Scoping Review of Promising Research Areas for Meta-Analyses and Benefit Transfers of Patient Preference Studies. Value in Health 2025;28(9):1426 View
  11. Chen J, Chen X, Tang Z, Lei L, Zhan Y, Liu S, Zhou H, Wan J, Chen Z, Wu Y, Luo Z. Influence of eHealth literacy on acceptance of healthcare services with risks in China: chain-mediating effect of general risk propensity and self-efficacy. Public Health 2025;247:105891 View
  12. 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