ArticleJournal of medical Internet research2019
Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients' and Physicians' Behaviors: Panel Data Analysis.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Extending Signaling Theory in Online Health Communities to Address Medical Information Asymmetry: Systematic Review With Narrative Synthesis.Journal of medical Internet research · 2025Pooled it
- 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 · 2021Pooled it
- Understanding healthcare professionals' participation in social media health knowledge popularization: insights from the UTAUT model and perceived risk theory.BMC health services research · 2025Article
- Developing a Framework for Online Review-Based Health Care Service Quality Assessment: Text-Mining Study.Journal of medical Internet research · 2025Article
- Mechanism Assessment of Physician Discourse Strategies and Patient Consultation Behaviors on Online Health Platforms: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Offline visit intention of online patients: the Grice's maxims and patient involvement.BMC medical informatics and decision making · 2025Article
- A Systematic Review of Online Medical Consultation Research.Healthcare (Basel, Switzerland) · 2024Review
- Effect of Prosocial Behaviors on e-Consultations in a Web-Based Health Care Community: Panel Data Analysis.Journal of medical Internet research · 2024Article
- 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 · 2024Article
- The Roles of Trust and Its Antecedent Variables in Healthcare Consumers' Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China.Healthcare (Basel, Switzerland) · 2023Article
- The Effect of Offline Medical Resource Distribution on Online Physician-Patient Interaction: Empirical Study With Online and Offline Data.JMIR formative research · 2023Article
- Exploring the Peer Effect of Physicians' and Patients' Participation Behavior: Evidence from Online Health Communities.International journal of environmental research and public health · 2022Article
- Promotion strategy for online healthcare platform during the COVID-19 pandemic: Evidence from Spring Rain Doctor in China.Frontiers in psychology · 2022Article
- 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 : eCAM · 2022Article
- Encouraging physicians' continuous knowledge-sharing in online health communities: A motivational perspective.Frontiers in public health · 2022Article
- Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach.Journal of medical Internet research · 2021Article
- 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 · 2021Article
- Seeking or contributing? Evidence of knowledge sharing behaviours in promoting patients' perceived value of online health communities.Health expectations : an international journal of public participation in health care and health policy · 2020Article
- Exploring the Factors Influencing Consumers to Voluntarily Reward Free Health Service Contributors in Online Health Communities: Empirical Study.Journal of medical Internet research · 2020Article
- Analysis of Massive Online Medical Consultation Service Data to Understand Physicians' Economic Return: Observational Data Mining Study.JMIR medical informatics · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn recent years, paid online patient-physician interaction has been incorporated into the telemedicine markets. With the development of telemedicine and telemedicine services, online feedback has been widely applied, helping other patients to identify quality services. Recently, in China, a new type of service feedback has been applied to the telemedicine markets, namely, paid feedback. Patients who are satisfied with a physician's online service can buy a virtual gift or give a tip to the physicians. This paid feedback can improve the reliability of service feedback and reduce the proportion of false information because it increases the cost for feedback providers. Paid online feedback can benefit the physicians, such as by providing them with monetary incentives; however, research on the impacts and value of such paid feedback from the physician perspective in the telemedicine markets is scant. To fill this research gap, this study was designed to understand the role of paid feedback by developing a research model based on the theories of signaling and self-determination.
objectiveThis study aimed to explore the effects of free and paid feedback on patients' choice and physicians' behaviors as well as to investigate the substitute relationship between these 2 types of feedback in the telemedicine markets.
methodsA JAVA software program was used to collect online patient-doctor interaction data over a 6-month period from a popular telemedicine market in China (Good Physician Online). This study drew on a 2-equation panel model to test the hypotheses. Both fixed and random effect models were used to estimate the combined effects of paid feedback and free feedback on patients' choice and physicians' contribution. Finally, the Hausman test was adopted to investigate which model is better to explain our empirical results.
resultsThe results of this study show that paid feedback has a stronger effect on patients' choice (a
conclusionsOur findings contribute to the extant literature on service feedback in the telemedicine markets and provide insight for relevant stakeholders into how to design an effective feedback mechanism to improve patients' service experience and physicians' engagement.
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