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

Economic Evaluations of mHealth Programs and Infrastructures (34) Mobile Health (mhealth) (2777) Cost-Effectiveness and Economics (234) mHealth for Health Administration (137)

Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9990, first published .
Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program

Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program

Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program

Authors of this article:

Camilla Somers1 Author Orcid Image ;   Eleanor Grieve1 Author Orcid Image ;   Marilyn Lennon2 Author Orcid Image ;   Matt-Mouley Bouamrane2 Author Orcid Image ;   Frances S Mair3 Author Orcid Image ;   Emma McIntosh1 Author Orcid Image
Article Authors Cited by (14) Tweetations (46) Metrics

Journals

  1. Chen R, Santo K, Wong G, Sohn W, Spallek H, Chow C, Irving M. Mobile Apps for Dental Caries Prevention: Systematic Search and Quality Evaluation. JMIR mHealth and uHealth 2021;9(1):e19958 View
  2. Guan L, Peng T, Zhu J. Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong. JMIR mHealth and uHealth 2019;7(5):e13679 View
  3. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
  4. Xie Z, Chen J, Or C. Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(9):e25959 View
  5. Vervoort D, Tam D, Wijeysundera H. Health Technology Assessment for Cardiovascular Digital Health Technologies and Artificial Intelligence: Why Is It Different?. Canadian Journal of Cardiology 2022;38(2):259 View
  6. Forma F, Chiu K, Shafrin J, Boskovic D, Veeranki S. Are caregivers ready for digital? Caregiver preferences for health technology tools to monitor medication adherence among patients with serious mental illness. DIGITAL HEALTH 2022;8:205520762210844 View
  7. Neumann D, Tiberius V, Biendarra F. Adopting wearables to customize health insurance contributions: a ranking-type Delphi. BMC Medical Informatics and Decision Making 2022;22(1) View
  8. Naggirinya A, Kyomugisha E, Nabaggala M, Nasasira B, Akirana J, Oseku E, Kiragga A, Castelnuovo B, King R, Katabira E, Byonanebye D, Lamorde M, Parkes-Ratanshi R. Willingness to pay for an mHealth anti-retroviral therapy adherence and information tool: Transitioning to sustainability, Call for life randomised study experience in Uganda. BMC Medical Informatics and Decision Making 2022;22(1) View
  9. Worden D, Hambly H. Willingness to pay and pricing for broadband across the rural/urban divide in Canada. Telecommunications Policy 2022;46(2):102247 View
  10. Hasan N, Bao Y, Chiong R. A multi-method analytical approach to predicting young adults’ intention to invest in mHealth during the COVID-19 pandemic. Telematics and Informatics 2022;68:101765 View
  11. Tarricone R, Petracca F, Cucciniello M, Ciani O. Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps. Health Economics 2022;31(S1):73 View
  12. Lee J, Oh Y, Kim M, Cho B, Shin J. Willingness to Use and Pay for Digital Health Care Services According to 4 Scenarios: Results from a National Survey. JMIR mHealth and uHealth 2023;11:e40834 View
  13. Adzakpah G, Mensah N, Boadu R, Kissi J, Dogbe M, Wadere M, Senyah D, Agyarkoaa M, Mensah L, Appiah-Acheampong A. Determining patients’ willingness to pay for telemedicine services and associated factors amidst fear of coronavirus disease 2019 (COVID-19) in Ghana. Heliyon 2023;9(8):e19191 View

Books/Policy Documents

  1. D’Alpaos C, Bragolusi P. New Metropolitan Perspectives. View