Emotional differences based on comments on doctor-patient disputes with varying levels of severity  

作　　者：Jing-Ru Lu Yu-Han Wei Xin Wang Yu-Qing Zhang Jia-Yi Shao Jiang-Jie Sun 

机构地区：[1]School of Health Care Management,Anhui Medical University,Hefei 230032,Anhui Province,China [2]School of Management,Hefei University of Technology,Hefei 230039,Anhui Province,China

出　　处：《World Journal of Psychiatry》2024年第7期1068-1079,共12页世界精神病学杂志

基　　金：Supported by the National Natural Science Foundation of China,No.72374005;Natural Science Foundation for the Higher Education Institutions of Anhui Province of China,No.2023AH050561;Cultivation Programme for Young and Middle-aged Excellent Teachers in Anhui Province,No.YQZD2023021.

摘　　要：BACKGROUND The risks associated with negative doctor-patient relationships have seriously hindered the healthy development of medical and healthcare and aroused wide-spread concern in society.The number of public comments on doctor-patient relationship risk events reflects the degree to which the public pays attention to such events.Thirty incidents of doctor-patient disputes were collected from Weibo and TikTok,and 3655 related comments were extracted.The number of comment sentiment words was extracted,and the comment sentiment value was calculated.The Kruskal-Wallis H test was used to compare differences between each variable group at different levels of incidence.Spearman’s correlation analysis was used to examine associations between variables.Regression analysis was used to explore factors influencing scores of comments on incidents.RESULTS The study results showed that public comments on media reports of doctor-patient disputes at all levels are mainly dominated by“good”and“disgust”emotional states.There was a significant difference in the comment scores and the number of partial emotion words between comments on varying levels of severity of doctor-patient disputes.The comment score was positively correlated with the number of emotion words related to positive,good,and happy)and negatively correlated with the number of emotion words related to negative,anger,disgust,fear,and sadness.CONCLUSION The number of emotion words related to negative,anger,disgust,fear,and sadness directly influences comment scores,and the severity of the incident level indirectly influences comment scores.

关 键 词：Doctor-patient relationship Doctor-patient dispute COMMENTS Emotional differences Weibo TikTok 

分 类 号：R197.323[医药卫生—卫生事业管理]