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

Digital Health Reviews (1289) Mobile Health (mhealth) (2941) Telehealth and Telemonitoring (1671) Chronic Conditions (270) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Aging with Chronic Disease (110) Cost-Effectiveness and Economics (252)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33372, first published .
The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review

The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review

The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review

Authors of this article:

Valerie Chua1 Author Orcid Image ;   Jin Hean Koh1 Author Orcid Image ;   Choon Huat Gerald Koh1 Author Orcid Image ;   Shilpa Tyagi1 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. Yang K, Li Y, Qi H. Determinants of and Willingness to Use and Pay for Digital Health Technologies Among the Urban Elderly in Hangzhou, China. Risk Management and Healthcare Policy 2023;Volume 16:463 View
  2. Ang I, Wang Y, Tyagi S, Koh G, Cook A. Preferences and willingness-to-pay for a blood pressure telemonitoring program using a discrete choice experiment. npj Digital Medicine 2023;6(1) View
  3. van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed S, Pavlova M, Wharton G, Mossialos E. Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review. Journal of Medical Internet Research 2023;25:e48000 View
  4. Chang A, Liang R, Eggleston K, Kim D. Patient Preferences for Telemedicine Among Individuals With Chronic Conditions in South Korea During the Early COVID-19 Pandemic. Asia Pacific Journal of Public Health 2023;35(8):557 View
  5. Lagarde M, Papanicolas I, Stacey N. The demand for private telehealth services in low- and middle-income countries: Evidence from South Africa. Social Science & Medicine 2024;354:116570 View
  6. Ebert J, Winzer P. Demand for 5G from residential customers in Germany: a quantitative online survey using the Van Westendorp method. Journal of Revenue and Pricing Management 2024;23(5):489 View
  7. 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
  8. Ludeña-Poma J, Rojas-Gallegos S, Solano-Ortiz L, Castro-Chavez Y, Chahua-Borda D, Ludeña-Poma J. Influence of resistance to use, perceived ease of use, perceived usefulness, and facilitating conditions in the intention to use telemedicine in Peru. Pharmacia 2024;71:1 View
  9. Hu Y, Wang J, Gu Y, Nicholas S, Maitland E, Zhou J. Online medical consultation in China: Demand-side analysis of obese patients’ preferences and willingness-to-pay for online obesity consultations. DIGITAL HEALTH 2024;10 View
  10. 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