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健康传播与医患关系的关系洞察:基于 CiteSpace 的科学计量分析与问卷验证。

Insights Into the Relationships Between Health Communication and Doctor-patient Relationship: A Scientometric Analysis Based on CiteSpace and Validation of Questionnaires.

机构信息

Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Jiangsu, China.

Business School, ISCTE University Institute of Lisbon, Portugal.

出版信息

Inquiry. 2023 Jan-Dec;60:469580231152071. doi: 10.1177/00469580231152071.

Abstract

In order to understand the research status of the relationship between health communication and doctor-patient relationship, and to explore a new path of the impact of health communication on doctor-patient relationship, this paper adopted qualitative methods to quantize the literature over the past 10 years in the Web of Science database and carried out Co-Authorship Analysis, Co-Citation Analysis and Co-Occurrence Analysis based on CiteSpace. In addition, according to the results of bibliometric research, self-designed questionnaires were used to verify the result. A convenience sampling survey was conducted through the online "Questionnaire Star" platform (https://www.wjx.cn) on May 8, 2022, and a total of 254 questionnaires were collected. Interviewees were asked to use social software to acquire health knowledge. Participants come from 21 provinces, 4 municipalities, and 4 autonomous regions across the country, which is geographically representative. The results show that uncertainty of social media information and the particularity of the epidemic make the research on health communication and doctor-patient relationship in social media become a new hot spot. Social media health information quality (source credibility and content trust perception), information asymmetry perception, doctor-patient communication, doctor-patient consistency, doctor-patient trust, doctor-patient relationship may be the key variables for constructing theoretical models.

摘要

为了了解健康传播与医患关系研究的关系现状,探索健康传播对医患关系影响的新路径,本研究采用定性方法对 Web of Science 数据库中过去 10 年的文献进行量化,并基于 CiteSpace 进行了共被引分析、共词分析和共现分析。此外,根据文献计量学研究的结果,使用自行设计的问卷进行了验证。本研究于 2022 年 5 月 8 日通过在线“问卷星”平台(https://www.wjx.cn)进行了便利抽样调查,共收集了 254 份问卷。受访者被要求使用社交软件获取健康知识。参与者来自全国 21 个省、4 个直辖市和 4 个自治区,具有地理代表性。研究结果表明,社交媒体信息的不确定性和疫情的特殊性使得社交媒体中的健康传播与医患关系研究成为新的热点。社交媒体健康信息质量(来源可信度和内容信任感知)、信息不对称感知、医患沟通、医患一致性、医患信任、医患关系可能是构建理论模型的关键变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9909062/969ec19a8739/10.1177_00469580231152071-fig1.jpg

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