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

Physician and Health Services Rating by Consumers (129) Telehealth and Telemonitoring (1710) Clinical Communication, Electronic Consultation and Telehealth (611)

Published on in Vol 21, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12156, first published .
Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients’ and Physicians’ Behaviors: Panel Data Analysis

Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients’ and Physicians’ Behaviors: Panel Data Analysis

Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients’ and Physicians’ Behaviors: Panel Data Analysis

Authors of this article:

Hualong Yang1 Author Orcid Image ;   Xiaofei Zhang2 Author Orcid Image
Article Authors Cited by (41) Tweetations (4) Metrics

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  1. Yang H, Du H, He W, Qiao H. Understanding the motivators affecting doctors’ contributions in online healthcare communities: professional status as a moderator. Behaviour & Information Technology 2021;40(2):146 View
  2. Jing D, Jin Y, Liu J. The Impact of Monetary Incentives on Physician Prosocial Behavior in Online Medical Consulting Platforms: Evidence From China. Journal of Medical Internet Research 2019;21(7):e14685 View
  3. Shan W, Wang Y, Luan J, Tang P. The Influence of Physician Information on Patients’ Choice of Physician in mHealth Services Using China’s Chunyu Doctor App: Eye-Tracking and Questionnaire Study. JMIR mHealth and uHealth 2019;7(10):e15544 View
  4. Liu Y, Ren C, Shi D, Li K, Zhang X. Evaluating the social value of online health information for third-party patients: Is uncertainty always bad?. Information Processing & Management 2020;57(5):102259 View
  5. Zhou J, Liu F, Zhou T. Exploring the Factors Influencing Consumers to Voluntarily Reward Free Health Service Contributors in Online Health Communities: Empirical Study. Journal of Medical Internet Research 2020;22(4):e16526 View
  6. Löffler C, Krüger A, Daubmann A, Iwen J, Biedermann M, Schulz M, Wegscheider K, Altiner A, Feldmeier G, Wollny A. Optimizing antibiotic prescribing for acute respiratory tract infection in German primary care: Study protocol for the evaluation of the RESIST program (Preprint). JMIR Research Protocols 2020 View
  7. Wang X, Zhang Z, Yang L, Zhao J. Price and capacity decisions in a telemedicine service system under government subsidy policy. International Journal of Production Research 2021;59(17):5130 View
  8. Chen J, Lan Y, Chang Y, Chang P. Exploring Doctors’ Willingness to Provide Online Counseling Services: The Roles of Motivations and Costs. International Journal of Environmental Research and Public Health 2019;17(1):110 View
  9. Liu J, Zhang W, Jiang X, Zhou Y. Data Mining of the Reviews from Online Private Doctors. Telemedicine and e-Health 2020;26(9):1157 View
  10. Jiang J, Cameron A, Yang M. Analysis of Massive Online Medical Consultation Service Data to Understand Physicians’ Economic Return: Data Mining Study. JMIR Medical Informatics 2020;8(2):e16765 View
  11. Jiang J, Yang M, Kiang M, Cameron A. Exploring the freemium business model for online medical consultation services in China. Information Processing & Management 2021;58(3):102515 View
  12. Guo C, Zhang Z, Zhou J, Deng Z. Seeking or contributing? Evidence of knowledge sharing behaviours in promoting patients’ perceived value of online health communities. Health Expectations 2020;23(6):1614 View
  13. Shah A, Naqvi R, Jeong O. The Impact of Signals Transmission on Patients’ Choice through E-Consultation Websites: An Econometric Analysis of Secondary Datasets. International Journal of Environmental Research and Public Health 2021;18(10):5192 View
  14. Chiu Y, Wang J, Yu H, Hsu Y. Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach. Journal of Medical Internet Research 2021;23(7):e29170 View
  15. Liu F, Wang W, Huang W. Monetizing Live Videos: Do Monetary Behaviors Affect Live Social Media Engagement?. SSRN Electronic Journal 2021 View
  16. Guo X, Wu B, Yang Z, Hou L, Zhu Z. Presentation mode matters: examining how patients and healthcare professionals present content text during online health advice interaction. Behaviour & Information Technology 2024;43(4):640 View
  17. 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
  18. Xu R, Zhang T, Zhang Q. Investigating the effect of online and offline reputation on the provision of online counseling services: A case study of the Internet hospitals in China. Frontiers of Engineering Management 2022;9(4):563 View
  19. Zhang X, Gao S, Cheng Y, Meng F. Encouraging physicians' continuous knowledge-sharing in online health communities: A motivational perspective. Frontiers in Public Health 2022;10 View
  20. Cao S, Gao X, Niu S, Wei Q, Jiang L. A Comparison Study of Doctor-Patient Internet Interactions in Traditional and Modern Medicine: Empirical Evidence from Online Healthcare Communities. Evidence-Based Complementary and Alternative Medicine 2022;2022:1 View
  21. Guo S, Dang Y, Vogel D, She B. The Effect of Offline Medical Resource Distribution on Online Physician-Patient Interaction: Empirical Study With Online and Offline Data. JMIR Formative Research 2023;7:e43533 View
  22. Zhang L, Lv D, Li W, Xing Z. Promotion strategy for online healthcare platform during the COVID-19 pandemic: Evidence from Spring Rain Doctor in China. Frontiers in Psychology 2022;13 View
  23. Shah A, Muhammad W, Lee K. Investigating the effect of service feedback and physician popularity on physician demand in the virtual healthcare environment. Information Technology & People 2023;36(3):1356 View
  24. Yin Q, Fan H, Wang Y, Guo C, Cui X. Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities. International Journal of Environmental Research and Public Health 2022;19(5):2780 View
  25. Liu Y, Zhang X, Liu L, Lai K. Does voice matter? Investigating patient satisfaction on mobile health consultation. Information Processing & Management 2023;60(4):103362 View
  26. Yan M, Zhang M, Kwok A, Zeng H, Li Y. The Roles of Trust and Its Antecedent Variables in Healthcare Consumers’ Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China. Healthcare 2023;11(9):1232 View
  27. Ye Q, Wu H. Offline to online: The impacts of offline visit experience on online behaviors and service in an Internet hospital. Electronic Markets 2023;33(1) View
  28. Wen D, Zhang J, Boamah F, Liu Y. An empirical study of continuous knowledge contribution of doctors in online medical communities. Kybernetes 2024;53(12):5242 View
  29. Yang M, Jiang J, Cameron A, Liu X. How do you cope? Online medical consultation service uncertainty, coping strategies, and subsequent payment. Electronic Commerce Research and Applications 2023;61:101294 View
  30. Wang R, Huang Y, Zhang X, Yao Y. Online dialogue with medical professionals: An empirical study of an online “Ask the Doctor” platform. International Journal of Medical Informatics 2023;177:105123 View
  31. Zhang M, Sun Y, Zhao X, Wang L, Xiong J. The Impact of Narrative Reviews on Patient E-doctor Choice in Online Health Communities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2023;60 View
  32. Wu M, Li Y, Ma C. Preferences, willingness, and demand among doctors in relation to internet hospital consultations: A discrete choice experiment. Informatics and Health 2024;1(1):1 View
  33. Zhuo X, Wang W. Why are physicians willing to contribute knowledge? Evidence from online health communities. Computers in Human Behavior 2024;152:108095 View
  34. Liu J, Song M, Li C, Guo S, Han J. The Effect of Characteristics of Patient Communication on Physician Feedback in Online Health Communities: An Observational Cross-Sectional Study. Health Communication 2024;39(13):3009 View
  35. Han S, Li L. Consulting doctors online after offline treatment: investigating the effects of online information on patients' effective use of online follow-up services. Frontiers in Public Health 2024;12 View
  36. Liu X, Guo H, Wang L, Hu M, Wei Y, Liu F, Wang X. Effect of Prosocial Behaviors on e-Consultations in a Web-Based Health Care Community: Panel Data Analysis. Journal of Medical Internet Research 2024;26:e52646 View
  37. Yan J, Liang C, Gu D, Zhu K, Zhou P. Understanding patients’ doctor choice behavior: Elaboration likelihood perspective. Information Development 2024 View
  38. Zhou P, Xie Y, Liang C, Zhu J, Zhao S. The effect of prosocial behavior and its intensity on doctors’ performance in an online health community. Humanities and Social Sciences Communications 2024;11(1) View
  39. Wang H, Liu S, Gao B, Aziz A. How do recommendations influence patient satisfaction? Evidence from an online health community. Information Technology & People 2024 View
  40. Shen T, Li Y, Chen X. A Systematic Review of Online Medical Consultation Research. Healthcare 2024;12(17):1687 View
  41. Qingjie P, Wanyu H, Jingying Y, Ming Y, Linlin W, Qiyue M, Fan W, Minghao P. How to promote telemedicine in underdeveloped cities in central China? Qualitative interviews with medical personnel in tertiary A-level hospital of Xinyang City. DIGITAL HEALTH 2024;10 View