The Effect of Characteristics of Patient Communication on Physician Feedback in Online Health Communities: An Observational Cross-Sectional Study.

IF 3 3区医学 Q1 COMMUNICATION Health Communication Pub Date : 2024-11-01 Epub Date: 2024-01-03 DOI:10.1080/10410236.2023.2300901

Jusheng Liu, Mei Song, Chaoran Li, Shanshan Guo, Jingti Han

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Abstract

With the rapid development of e-health and telemedicine, previous studies have explored the relationship between physician-patient communication and patient satisfaction; however, there is a paucity of research on the influence of the characteristics of patient communication on the characteristics of physician feedback. Based on the communication accommodation theory, as well as the computer-mediated communication theory and media richness theory, this study aimed to explore how characteristics of patient communication influence characteristics of physician feedback in online health communities. We employed a crawler software to download the communication data between 1652 physicians and 105,325 patients from the Good Doctor platform, the biggest online health community in China. We built an empirical model using this data and employed a multilevel model to test our hypotheses using Stata and Python software. The results indicate that the amount of patients' rendered information positively influences the physicians' text (α = 0.123, t = 33.147, P < .001) and voice feedback (β = 0.201, t = 40.011, P < .001). Patients' hope for help signals and the provision of their electronic health records weaken the effect of the amount of patients' rendered information on physicians' text feedback (α = -0.040, t = -24.857, P < .001; α = -0.048, t = -15.784, P < .001), whereas, it strengthened the effect of the amount of patients' rendered information on physicians' voice feedback (β = 0.033, t = 14.789, P < .001; β = 0.017, t = 4.208, P < .001). Moreover, the occurrence of high-privacy diseases strengthened the effect of the amount of patients' presented information on physicians' text and voice feedback (α = 0.023, t = 4.870, P < .001; β = 0.028, t = 4.282, P < .001). This research contributes to the development of computer-mediated communication theories and sheds light on service delivery in the online health community.

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患者交流的特点对在线健康社区中医生反馈的影响：一项观察性横断面研究

随着电子医疗和远程医疗的快速发展，以往的研究已经探讨了医患沟通与患者满意度之间的关系；然而，关于患者沟通特征对医生反馈特征的影响的研究却很少。本研究以沟通调适理论以及计算机媒介沟通理论和媒体丰富性理论为基础，旨在探讨在线健康社区中患者沟通的特点如何影响医生反馈的特点。我们使用爬虫软件从中国最大的在线健康社区--好大夫平台下载了1652名医生与105325名患者之间的沟通数据。我们利用这些数据建立了一个实证模型，并使用 Stata 和 Python 软件建立了一个多层次模型来检验我们的假设。结果表明，患者提供的信息量对医生的文本有正向影响（α = 0.123，t = 33.147，P β = 0.201，t = 40.011，P α = -0.040，t=-24.857，P α=-0.048，t=-15.784，P β=0.033，t=14.789，P β=0.017，t=4.208，P α=0.023，t=4.870，P β=0.028，t=4.282，P

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来源期刊

Health Communication Multiple-

CiteScore

8.20

自引率

10.30%

发文量

184

期刊介绍： As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.