Liu Xiaochen, Xu Zhen, Yu Xintao, Oda Tetsuaki
Graduate School of Technology Management, Ritsumeikan University, Osaka, Japan.
School of Communication, East China University of Political Science and Law, Shanghai, China.
Front Psychol. 2022 Sep 20;13:993088. doi: 10.3389/fpsyg.2022.993088. eCollection 2022.
The COVID-19 epidemic put the traditional healthcare system and offline consultation method under strain. Patient consultations through online healthcare communities (OHCs) provide patients and physicians with a more convenient and secure route. Based on the social support theory, this study explores the impact of three dimensions of social support from physicians-information diagnosticity, source credibility, and emotional support-on patient consultations in OHCs and their moderating effect on patients' compliments. We utilized Python Spiders to retrieve data from Haodf.com and gathered 2,982 physician reports. The model uses OLS regression with fixed effect estimations. The results show that these three dimensions of social support are positively impacted by consultation. Furthermore, patients' compliments weaken the positive relationship between the three dimensions of physicians' social support and patient consultations. This study contributes to the literature on social support theory in OHCs by exploring the physicians' social support dimension and its impact on patient consultation. Moreover, this study makes practical contributions to physicians and platform administrators in OHCs.
新冠疫情使传统医疗体系和线下问诊方式不堪重负。通过在线医疗社区（OHC）进行患者问诊为患者和医生提供了一条更便捷、更安全的途径。基于社会支持理论，本研究探讨了医生社会支持的三个维度——信息诊断性、来源可信度和情感支持——对在线医疗社区中患者问诊的影响及其对患者好评的调节作用。我们利用Python爬虫从好大夫在线（Haodf.com）检索数据，收集了2982份医生报告。该模型采用固定效应估计的OLS回归。结果表明，社会支持的这三个维度对问诊有正向影响。此外，患者的好评削弱了医生社会支持的三个维度与患者问诊之间的正向关系。本研究通过探索医生社会支持维度及其对患者问诊的影响，为在线医疗社区的社会支持理论文献做出了贡献。此外，本研究还为在线医疗社区中的医生和平台管理者提供了实际帮助。
