ArticleHealthcare (Basel, Switzerland)2022
A Research Based on Online Medical Platform: The Influence of Strong and Weak Ties Information on Patients' Consultation Behavior.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- The magic of first impressions: Do facial displays on online platforms affect users' offline conversion rate?PloS one · 2026Article
- Status and analysis of Free Hospital-Based Internet + Nursing Health Consultation Services: a retrospective study.BMC nursing · 2025Article
- How is patient trust transferred from online medical platforms to offline?Frontiers in public health · 2025Article
- Two cities, two stages in transforming society-a mixed methods study comparing doctors' adoption of mobile apps for communication with patients in Hangzhou and Yancheng, China.Frontiers in public health · 2024Article
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3 authors.
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Abstract
As an indispensable part of contemporary medical services, Internet-based medical platforms can provide patients with a full range of multi-disciplinary and multi-modal treatment services. Along with the emergence of many healthcare influencers and the increasing connection between online and offline consultations, the operation of individual physicians and their teams on Internet-based medical platforms has started to attract a lot of attention. The purpose of this paper is to, based on an Internet platform, study how the information on physicians' homepages influences patients' consultation behavior, so as to provide suggestions for the construction of physicians' personal websites. We distinguish variables into strong- and weak-ties types, dependent on whether deep social interactions between physicians and patients have happened. If there exist further social interactions, we define the variable as the "strong ties" type, otherwise, "weak ties". The patients' consultation behavior will be expressed as the volume of online consultation, i.e., the number of patients. We obtained the strong and weak ties information of each physician based on EWM (entropy weight method), so as to establish a regression model with explained variable, i.e., the number of patients, and three explanatory variables, i.e., the strong and weak ties information, and their interaction term. The estimation results verified our hypotheses and proved to be robust. It showed that both strong and weak ties information can positively influence patients' consultation behavior, and the influence of weak ties information is greater. Regarding the positive influence of strong and weak ties, we found a trade off effect between them. Based on the results, we finalize with some suggestions on how to improve a physician's online medical consultation volume.
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