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

Business and Entrepreneurship in eHealth (30)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29170, first published .
Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach

Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach

Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach

Authors of this article:

Ya-Ling Chiu1, 2, 3 Author Orcid Image ;   Jying-Nan Wang2, 3, 4 Author Orcid Image ;   Haiyan Yu5 Author Orcid Image ;   Yuan-Teng Hsu6 Author Orcid Image
Article Authors Cited by (15) Tweetations (3) Metrics

Journals

  1. Lu W, Ngai C, Yi L. A Bibliometric Review of Constituents, Themes, and Trends in Online Medical Consultation Research. Health Communication 2024;39(2):229 View
  2. Sun Y, Yu J, Chiu Y, Hsu Y. Can online health information sources really improve patient satisfaction?. Frontiers in Public Health 2022;10 View
  3. 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
  4. Huang X, Sun P, Zhang X, Wu J. What affects patients’ choice of consultant: an empirical study of online doctor consultation service. Electronic Commerce Research 2022 View
  5. Hou Y, Tao W, Hou S, Li W. Levels, trends, and determinants of effectiveness on the hierarchical medical system in China: Data envelopment analysis and bootstrapping truncated regression analysis. Frontiers in Public Health 2022;10 View
  6. 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
  7. Yu H, Chiu Y, Wang J, Yu J, Hsu Y. Electronic consultation accessibility influence on patient assessments: A case–control study with user-generated tags of physician expertise. DIGITAL HEALTH 2023;9 View
  8. Yu D, Hu Y, Wang J, Nicholas S, Maitland E. Online medical consultation in China: Evidence from obesity doctors. DIGITAL HEALTH 2023;9 View
  9. Zhuo X, Wang W. Why are physicians willing to contribute knowledge? Evidence from online health communities. Computers in Human Behavior 2024;152:108095 View
  10. Uchida S, Hiraoka S, Kawamura K, Sakamoto K, Akiyama R, Tanaka S. Machine Learning Analysis of Gaze Data for Enhanced Precision in Diagnosing Oral Mucosal Diseases. Journal of Clinical Medicine 2023;13(1):136 View
  11. 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 2024:1 View
  12. Geng S, He Y, Duan L, Yang C, Wu X, Liang G, Niu B. The Association Between Linguistic Characteristics of Physicians’ Communication and Their Economic Returns: Mixed Method Study. Journal of Medical Internet Research 2024;26:e42850 View
  13. Yu X, Wang H, Chen Z. The Role of User-Generated Content in the Sustainable Development of Online Healthcare Communities: Exploring the Moderating Influence of Signals. Sustainability 2024;16(9):3739 View
  14. Wang Y, Shi C, Wang X, Meng H, Chen J. The Relationship Between Static Characteristics of Physicians and Patient Consultation Volume in Internet Hospitals: Quantitative Analysis. JMIR Formative Research 2024;8:e56687 View

Books/Policy Documents

  1. Nagaraj A. COVID 19 – Monitoring with IoT Devices. View