详细信息

The Effects of Online Text Comments on Patients' Choices: The Mediating Roles of Comment Sentiment and Comment Content    

文献类型:期刊文献

英文题名:The Effects of Online Text Comments on Patients' Choices: The Mediating Roles of Comment Sentiment and Comment Content

作者:Fan, Jing[1];Geng, Huihui[1,2];Liu, Xuan[3];Wang, Jiachen[1]

机构:[1]Beijing Foreign Studies Univ, Int Business Sch, Beijing, Peoples R China;[2]Sch Econ & Management, Beijing Polytech, Beijing, Peoples R China;[3]East China Univ Sci & Technol, Business Sch, Shanghai, Peoples R China

年份:2022

卷号:13

外文期刊名:FRONTIERS IN PSYCHOLOGY

收录:;WOS:【SSCI(收录号:WOS:000798695200001)】;

基金:This study was supported by the National Natural Science Foundation of China under Grants (71971082, 71573022, 71974018), G20 Research Center of Beijing Foreign Studies University under the Grant G2020201003), the Fundamental Research Funds for the Central Universities (2022JJ007), Science and Technology Innovation Plan of Shanghai Science and Technology Commission (22692110200), and Beijing Polytechnic (2019Z002-054-SXZ).

语种:英文

外文关键词:online health platform; online comments; text analysis; comment sentiment; comment content; patients' choices

摘要:As an increasingly important application of mobile social media usage, online healthcare platforms provide a new avenue for patients to obtain and exchange information, referring not only to online doctor's advice but also to the patients' comments on a doctor. Extant literature has studied the patients' comments facilitated with the direct numeric information gathered in the web pages including the frequencies of "thanks letter," "flowers," and "recommendation scores." Adopting the text analysis method, we analyzed patients' comments on the healthcare platform, focusing on the comments from two aspects, namely, comment contents and content sentiment. Based on the analysis of the data collected from one of the most popular healthcare apps named "Haodaifu" in China, the results show that the vast majority of the comments are positive, which basically follows the L-shaped distribution. Meanwhile, comment sentiment covering sentiment tendency and proportion of positive comments demonstrates significant effects on recent 2-week consultation by a doctor. One of the comment contents "patience explanation" has significant effects both on the total consultation and recent 2-week consultation by a doctor. The research findings indicate that the online preferences for and evaluations on doctors provide strong support and guidance for improving doctor-patient relationships and offer implications for medical practices and healthcare platforms improvement.

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