基于对不同程度的医生与患者争端的评论的情感差异
Jing-Ru Lu1, Yu-Han Wei1, Xin Wang1
1School of Health Care Management, Anhui Medical University, Hefei 230032, Anhui Province, China.
World journal of psychiatry
|July 25, 2024
概括
关于医生与病人争端的公开评论揭示了强烈的负面情绪,如愤怒和厌恶影响在线情绪. 事件严重程度间接影响评论得分,突出了公众的关注.
科学领域:
- 医学社会学 医学社会学
- 数字通信分析 数字通信分析
- 公共卫生话语 公共卫生话语
背景情况:
- 负面的医生患者关系对医疗保健发展和公众信任构成重大风险.
- 围绕医生与患者纠纷的公共话语,特别是在社交媒体上,反映了社会的关注和关注.
- 分析在线评论可以了解公众对医疗事件的看法和情绪反应.
研究的目的:
- 为了调查公众的情绪反应和评论强度在不同水平的医生-病人争端.
- 识别与医疗纠纷有关的公众评论中的情绪和立场差异.
- 了解医生与患者之间的事件的严重程度如何影响公众在线反应.
主要方法:
- 从微博和TikTok收集了30起医生与病人纠纷事件,提取了3655条相关评论.
- 使用字数和计算的情绪值量化评论情绪.
- 采用克鲁斯卡尔-瓦利斯H测试,斯皮尔曼相关性和回归分析来评估变量和关系.
主要成果:
- 关于医生与病人争端的公众评论主要表达"好"和"恶心"的情绪.
- 在争端严重程度层次之间观察到评论得分和情感词数的显著差异.
- 积极情绪词与评论分数有积极的相关性,而负面情绪词 (愤怒,厌恶,恐惧,悲伤) 与评论分数有负面相关性.
结论:
- 愤怒,厌恶,恐惧和悲伤等负面情绪直接影响公众对医生患者争端的评论得分.
- 医生-病人事件的严重程度间接影响评论得分,强调事件升级的影响.
- 了解公众情绪的动态对于解决医生与患者关系挑战至关重要.
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