文献类型：期刊文献

英文题名：Changes in Doctor-Patient Relationships in China during COVID-19: A Text Mining Analysis

作者：Li, Jiaxuan[1] Pang, Patrick Cheong-Iao[1] Xiao, Yundan[2] Wong, Dennis[1,3]

第一作者：Li, Jiaxuan

通信作者：Pang, PCI[1]

机构：[1]Macao Polytech Univ, Fac Appl Sci, Taipa 999078, Macao Sar, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]SUNY Stony Brook, Dept Comp Sci, New York, NY 11794 USA

年份：2022

卷号：19

期号：20

外文期刊名：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

收录：;Scopus(收录号：2-s2.0-85140914763);WOS:【SSCI(收录号:WOS:000872812000001)，SCI-EXPANDED(收录号:WOS:000872812000001)】；

基金：This research and the APC were funded by Macao Polytechnic University grant number RP/ESCA-05/2021.

语种：英文

外文关键词：doctor-patient relationship; doctor reviews; sentiment analysis; word frequency analysis; text mining; COVID-19

摘要：Doctor-patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients' attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regarding Chinese doctors from three regions from the online health platform Good Doctors Online (haodf.com, accessed on 13 October 2022). These comments were analyzed using text mining techniques, such as sentiment and word frequency analyses. The results showed improvements in DPRs after the pandemic, and the degree of improvement was related to the extent to which a location was affected. The findings also suggest that administrative services in the healthcare sector need further improvement. Based on these results, we summarize relevant recommendations at the end of this paper.