Published on in Vol 18, No 2 (2016): February

What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship

What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship

What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship

Authors of this article:

Johanna Roettl1 Author Orcid Image ;   Sonja Bidmon1 Author Orcid Image ;   Ralf Terlutter1 Author Orcid Image

Journals

  1. Cronström A, Dahlberg L, Nero H, Ericson J, Hammarlund C. ‘I would never have done it if it hadn’t been digital’: a qualitative study on patients’ experiences of a digital management programme for hip and knee osteoarthritis in Sweden. BMJ Open 2019;9(5):e028388 View
  2. Slightam C, Gregory A, Hu J, Jacobs J, Gurmessa T, Kimerling R, Blonigen D, Zulman D. Patient Perceptions of Video Visits Using Veterans Affairs Telehealth Tablets: Survey Study. Journal of Medical Internet Research 2020;22(4):e15682 View
  3. Wang L, Yan L, Guo X, Heim G. Modeling Physicianss Dynamic Behaviors in an Online Healthcare Community: An Empirical Study Using a Vector Autoregression Approach. SSRN Electronic Journal 2017 View
  4. Li J, Zhang Y, Ma L, Liu X. The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data. Journal of Medical Internet Research 2016;18(10):e276 View
  5. Knorst G, Jesus V, Menezes Junior A. A relação com o médico na era do paciente expert: uma análise epistemológica. Interface - Comunicação, Saúde, Educação 2019;23 View
  6. Rauch V, Roderka M, McClure A, Weintraub A, Curtis K, Kotz D, Rothstein R, Batsis J. Willingness to pay for a telemedicine-delivered healthy lifestyle programme. Journal of Telemedicine and Telecare 2022;28(7):517 View
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  8. De Rosis S, Barsanti S. Patient satisfaction, e-health and the evolution of the patient–general practitioner relationship: Evidence from an Italian survey. Health Policy 2016;120(11):1279 View
  9. Firet L, Teunissen D, Verhoeks C, Lagro-Janssen A. Expectations regarding eHealth among women with stress urinary incontinence. International Urogynecology Journal 2019;30(11):1955 View
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  11. Shang L, Zuo M, Ma D, Yu Q. The Antecedents and Consequences of Health Care Professional–Patient Online Interactions: Systematic Review. Journal of Medical Internet Research 2019;21(9):e13940 View
  12. Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866 View
  13. Zimmerman M, Shaw G. Health information seeking behaviour: a concept analysis. Health Information & Libraries Journal 2020;37(3):173 View
  14. Li Q. Healthcare at Your Fingertips: The Acceptance and Adoption of Mobile Medical Treatment Services among Chinese Users. International Journal of Environmental Research and Public Health 2020;17(18):6895 View
  15. Bidmon S, Elshiewy O, Terlutter R, Boztug Y. What Patients Value in Physicians: Analyzing Drivers of Patient Satisfaction Using Physician-Rating Website Data. Journal of Medical Internet Research 2020;22(2):e13830 View
  16. Oppenheimer J, Leviton A, Chiujdea M, Antonetty A, Ojo O, Garcia S, Weas S, Fleegler E, Chan E, Loddenkemper T. Caring electronically for young outpatients who have epilepsy. Epilepsy & Behavior 2018;87:226 View
  17. Peltier J, Dahl A, Swan E. Digital information flows across a B2C/C2C continuum and technological innovations in service ecosystems: A service-dominant logic perspective. Journal of Business Research 2020;121:724 View
  18. Sudbury-Riley L, FitzPatrick M, Schulz P. Exploring the Measurement Properties of the eHealth Literacy Scale (eHEALS) Among Baby Boomers: A Multinational Test of Measurement Invariance. Journal of Medical Internet Research 2017;19(2):e53 View
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  20. Wang L, Yan L, Zhou T, Guo X, Heim G. Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study. Information Systems Research 2020;31(2):537 View
  21. Yang D, Wang Y, Mei S. How to balance online healthcare platforms and offline systems? A supply chain management perspective. Managerial and Decision Economics 2021;42(2):502 View
  22. Du L, Wu R, Chen X, Xu J, Ji H, Zhou L. <p>Role of Treatment Adherence, Doctor–Patient Trust, and Communication in Predicting Treatment Effects Among Tuberculosis Patients: Difference Between Urban and Rural Areas</p>. Patient Preference and Adherence 2020;Volume 14:2327 View
  23. Scherer J, Osterhoff G, Kaufmann E, Estel K, Neuhaus V, Willy C, Hepp P, Pape H, Back D. What is the acceptance of video consultations among orthopedic and trauma outpatients? A multi-center survey in 780 outpatients. Injury 2021;52(11):3304 View
  24. Su W, Li Y, Zhang H, Wang T. How the attributes of content distributors influence the intentions of users to pay for content shared on social media. Electronic Commerce Research 2023;23(1):407 View
  25. 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
  26. Liu Y, Dong F, Li G, Huang J, Yang S, Wang Y. Public willingness to support the policy of banning gasoline vehicles sales and its internal mechanism. Energy 2023;271:126984 View
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  30. Tzeng Y, Yin W, Lin K, Wei J, Liou H, Sung H, Lang H. Factors Associated With the Utilization of Outpatient Virtual Clinics: Retrospective Observational Study Using Multilevel Analysis. Journal of Medical Internet Research 2022;24(8):e40288 View
  31. Chen L, Zhang D, Hou M. The Influence of Perceived Social Presence on the Willingness to Communicate in Mobile Medical Consultations: Experimental Study. Journal of Medical Internet Research 2022;24(5):e31797 View
  32. Ye C, Cao C, Yang J, Shao X. Explore How Online Healthcare Can Influence Willingness to Seek Offline Care. International Journal of Environmental Research and Public Health 2022;19(13):7925 View
  33. Shah A, Muhammad W, Lee K, Naqvi R. Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System. International Journal of Environmental Research and Public Health 2021;18(21):11226 View
  34. Chua V, Koh J, Koh C, Tyagi S. The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(4):e33372 View
  35. Vasco P, Moscatelli F, La Torre M, Valenzano A, Monda V, Cibelli G, de Stefano M, Marsala G, Dalia C, Bassi P, Porro C, Toto G, Limone P, Messina G, Polito R. Role of Technology Innovation in Telemedicine: Focus on Sport Nutrition. Applied Sciences 2023;13(8):4837 View
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Books/Policy Documents

  1. Bidmon S. Advances in Advertising Research X. View