ArticleJournal of medical Internet research2020
Factors Associated With the Actual Behavior and Intention of Rating Physicians on Physician Rating Websites: Cross-Sectional Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Medical vs. Organizational Complaints: A Machine Learning Analysis Reveals Divergent Patterns in Patient Reviews Across Russian Cities.Healthcare (Basel, Switzerland) · 2025Article
- Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis.Journal of medical Internet research · 2025Article
- Effect of Negative Online Reviews and Physician Responses on Health Consumers' Choice: Experimental Study.Journal of medical Internet research · 2024Article
- Dishonest Physician Reviews: Challenging Physician Online Reviews and the Appeals Process.Journal of medical systems · 2023Article
- SARS-CoV-2-Related Adaptation Mechanisms of Rehabilitation Clinics Affecting Patient-Centered Care: Qualitative Study of Online Patient Reports.JMIR rehabilitation and assistive technologies · 2023Article
- The Physical and Mental Well-Being of Medical Doctors in the Silesian Voivodeship.International journal of environmental research and public health · 2022Article
- Factors Associated with the Patient/Client Use of Report Cards, Physician Rating Websites, Social Media, and Google for Hospital and Physician Selection: A Nationwide Survey.Healthcare (Basel, Switzerland) · 2022Article
- Awareness of and interaction with physician rating websites: A cross-sectional study in Austria.PloS one · 2022Article
- Short-Video Apps as a Health Information Source for Chronic Obstructive Pulmonary Disease: Information Quality Assessment of TikTok Videos.Journal of medical Internet research · 2021Article
- Digital Footprint of Academic Vascular Surgeons in the Southern United States on Physician Rating Websites: Cross-sectional Evaluation Study.JMIR cardio · 2021Article
- The Influence of Doctors' Online Reputation on the Sharing of Outpatient Experiences: Empirical Study.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough online physician rating information is popular among Chinese health consumers, the limited number of reviews greatly hampers the effective usage of this information. To date, little has been discussed on the variables that influence online physician rating from the users' perspective.
objectiveThis study aims to investigate the factors associated with the actual behavior and intention of generating online physician rating information in urban China.
methodsA web-based cross-sectional survey was conducted, and the valid responses of 1371 Chinese health consumers were recorded. Using a pilot interview, we analyzed the effects of demographics, health variables, cognitive variables, and technology-related variables on online physician rating information generation. Binary multivariate logistic regression, multiple linear regression, one-way analysis of variance analyses, and independent samples t test were performed to analyze the rating behavior and the intentions of the health consumers. The survey instrument was designed based on the existing literature and the pilot interview.
resultsIn this survey, 56.7% (778/1371) of the responders used online physician rating information, and 20.9% (287/1371) of the responders rated the physicians on the physician rating website at least once (posters). The actual physician rating behavior was mainly predicted by health-related factors and was significantly associated with seeking web-based physician information (odds ratio [OR] 5.548, 95% CI 3.072-10.017; P<.001), usage of web-based physician service (OR 2.771, 95% CI 1.979-3.879; P<.001), health information-seeking ability (OR 1.138, 95% CI 0.993-1.304; P=.04), serious disease development (OR 2.699, 95% CI 1.889-3.856; P<.001), good medical experience (OR 2.149, 95% CI 1.473-3.135; P<.001), altruism (OR 0.612, 95% CI 0.483-0.774; P<.001), self-efficacy (OR 1.453, 95% CI 1.182-1.787; P<.001), and trust in online physician rating information (OR 1.315, 95% CI 1.089-1.586; P=.004). Some factors influencing the intentions of the posters and nonposters rating the physicians were different, and the rating intention was mainly determined by cognitive and health-related factors. For posters, seeking web-based physician information (β=.486; P=.007), using web-based medical service (β=.420; P=.002), ability to seek health information (β=.193; P=.002), rating habits (β=.105; P=.02), altruism (β=.414; P<.001), self-efficacy (β=.102; P=.06), trust (β=.351; P<.001), and perceived ease of use (β=.275; P<.001) served as significant predictors of the rating intention. For nonposters, ability to seek health information (β=.077; P=.003), chronic disease development (β=.092; P=.06), bad medical experience (β=.047; P=.02), rating habits (β=.085; P<.001), altruism (β=.411; P<.001), self-efficacy (β=.171; P<.001), trust (β=.252; P<.001), and perceived usefulness of rating physicians (β=.109; P<.001) were significantly associated with the rating intention.
conclusionsWe showed that different factors affected the physician rating behavior and rating intention. Health-related variables influenced the physician rating behavior, while cognitive variables were critical in the rating intentions. We have proposed some practical implications for physician rating websites and physicians to promote online physician rating information generation.
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