Suppr超能文献

电子口碑评价中日本社区医疗机构评价因素与星级评级之间的关系:一项观察性研究。

Relationship between evaluation factors and star ratings for Japanese community healthcare institutions in electronic word-of-mouth reviews: an observational study.

作者信息

Maita Hiroki, Kanezaki Yuki, Akimoto Takashi, Kobayashi Tadashi, Hirano Takahiro, Kato Hiroyuki

机构信息

Development of Community Healthcare, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki-shi, Aomori, 036-8562, Japan.

Hirosaki University School of Medicine, 5 Zaifu-cho, Hirosaki-shi, Aomori, 036-8562, Japan.

出版信息

BMC Prim Care. 2024 Dec 5;25(1):413. doi: 10.1186/s12875-024-02668-y.

Abstract

BACKGROUND

Internet reviews have become increasingly crucial for both healthcare providers and patients. Electronic word-of-mouth (eWOM) reviews on internet sites often comprise textual content with numerical ratings. In this study, we aimed to identify the evaluation factors of community healthcare institutions regarding eWOM reviews and the impact of each evaluation factor on the institution's ratings.

METHODS

An observational study was conducted to qualitatively and quantitatively analyse eWOM data posted on Google for randomly selected healthcare institutions in Hirosaki, Japan from September to October 2022. For qualitative data, the authors repeatedly read the eWOM text, coded it, and categorised related sections. For quantitative analysis, a multivariate analysis using a linear regression model was conducted with the categorised factors from the qualitative analysis as explanatory variables and eWOM ratings as response variables.

RESULTS

Twenty medical institutions (two hospitals and 18 clinics) were randomly extracted from the registry. A total of 147 eWOM texts from each institution were analysed, and coding was performed for 474 segments in the texts. In the qualitative analysis, the evaluated factors in eWOM texts for medical institutions were categorised as communication (evaluation factor for communication with healthcare providers), clinical practice (evaluation factor for the clinical practice of healthcare providers), and medical institution (evaluation factor for the characteristics of medical institutions). According to the multiple regression analysis, the partial regression coefficients for the explanatory variables of positive communication, clinical practice, and medical institution evaluations were 1.04 (95% confidence interval 0.70 to 1.39), 0.65 (95% confidence interval 0.27 to 1.04), and 0.75 (95% confidence interval 0.35 to 1.15), respectively, with the number of ratings as the response variable. Partial regression coefficients for the explanatory variables of negative communication, clinical practice, and medical institution evaluations were - 1.52 (95% confidence interval - 1.88 to -1.16), -0.90 (95% confidence interval - 1.28 to -0.52), and - 0.24 (95% confidence interval - 0.60 to 0.12), respectively.

CONCLUSION

We quantitatively and qualitatively analysed the eWOM reviews and ratings of healthcare institutions posted on Google. Three evaluation factors were identified: communication, clinical practice, and medical institution. Our study revealed that communication significantly impacts ratings.

摘要

背景

互联网评价对医疗服务提供者和患者都变得越来越重要。网站上的电子口碑(eWOM)评价通常包括带有数字评分的文本内容。在本研究中,我们旨在确定社区医疗机构在eWOM评价方面的评估因素以及每个评估因素对机构评分的影响。

方法

进行了一项观察性研究,以定性和定量分析2022年9月至10月在日本弘前市随机选择的医疗机构在谷歌上发布的eWOM数据。对于定性数据,作者反复阅读eWOM文本,进行编码,并对相关部分进行分类。对于定量分析,使用线性回归模型进行多变量分析,将定性分析中的分类因素作为解释变量,将eWOM评分作为响应变量。

结果

从登记册中随机抽取了20家医疗机构(两家医院和18家诊所)。对每家机构的总共147条eWOM文本进行了分析,并对文本中的474个片段进行了编码。在定性分析中,医疗机构eWOM文本中的评估因素分为沟通(与医疗服务提供者沟通的评估因素)、临床实践(医疗服务提供者临床实践的评估因素)和医疗机构(医疗机构特征的评估因素)。根据多元回归分析,以评分数量为响应变量时,积极沟通、临床实践和医疗机构评价的解释变量的偏回归系数分别为1.04(95%置信区间0.70至1.39)、0.65(95%置信区间0.27至1.04)和0.75(95%置信区间0.35至1.15)。消极沟通、临床实践和医疗机构评价的解释变量的偏回归系数分别为-1.52(95%置信区间-1.88至-1.16)、-0.90(95%置信区间-1.28至-0.52)和-0.24(95%置信区间-0.60至0.12)。

结论

我们对谷歌上发布的医疗机构的eWOM评价和评分进行了定量和定性分析。确定了三个评估因素:沟通、临床实践和医疗机构。我们的研究表明,沟通对评分有显著影响。

相似文献

本文引用的文献

2
The Credibility of Physician Rating Websites: A Systematic Literature Review.医生评级网站的可信度:系统文献回顾。
Health Policy. 2023 Jun;132:104821. doi: 10.1016/j.healthpol.2023.104821. Epub 2023 Apr 14.
7
Patient satisfaction: Concept analysis in the healthcare context.患者满意度:医疗保健环境下的概念分析。
Patient Educ Couns. 2019 Apr;102(4):790-796. doi: 10.1016/j.pec.2018.11.013. Epub 2018 Nov 19.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验