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作 者:许思特 孙木[1] XU Site;SUN Mu(Ruijin Hospital,Shanghai Jiaotong University School of Medicine,Shanghai 200025,China)
机构地区:[1]上海交通大学医学院附属瑞金医院,上海200025
出 处:《中国数字医学》2024年第11期93-97,共5页China Digital Medicine
摘 要:目的:揭示医生在对患者表达不信任时所采用的语言机制,探讨性别在负面医疗描述中使用的差异性。方法:分析285份电子病历(EMR),揭示评判、陈述、引用和捏造4种语言偏见的特征。通过情感分类和知识图谱,确定了这些特征在病历中的普遍性,并使用逻辑回归模型测试性别差异。结果:样本中共有2 354条EMR描述,大多数患者(64.7%)被识别为男性。与对男性患者的描述相比,对女性患者的描述中较少包含评判偏见语言特征(OR值:0.69,95%CI:0.54~0.88,P <0.01),但存在更多的捏造偏见语言特征(OR值:1.38,95%CI:1.09~1.75,P <0.01)。在陈述(OR值:0.95,95%CI:0.61~1.47,P=0.81)和引用语言特征(OR值:0.99,95%CI:0.72~1.36,P=0.96)方面,对男女患者的描述没有显著差异。结论:作为语言偏见的一种表现形式,男性和女性患者可能面临医生不同类型的系统性偏见,医疗质量的性别差异可能由此机制引起,需要进一步关注并解决。Objective To reveal the linguistic mechanisms used by physicians in expressing mistrust of patients and to explore the gender differences in negative medical descriptions.Methods 285 electronic medical records(EMRs)were analyzed to reveal the features of four linguistic biases:judging,stating,quoting,and fabricating.The prevalence of these features in medical records was determined through emotion classification and knowledge mapping,and logistic regression modeling was used to test gender differences.Results There were 2,354 EMRs descriptions in the sample.The majority of patients(64.7%)were identified as male.Compared with descriptions of male patients,descriptions of female patients contained fewer judgmental bias linguistic features(OR:0.69,95%CI:0.54~0.88,P<0.01),but there were more fabrication bias linguistic features(OR:1.38,95%CI:1.09~1.75,P<0.01).There were no significant differences between the descriptions of male and female patients in terms of statement(OR:0.95,95%CI:0.61~1.47,P=0.81)and quotation linguistic features(OR:0.99,95%CI:0.72~1.36,P=0.96).Conclusion As a form of linguistic bias,male and female patients may face different types of systematic bias from their physicians.Gender differences in medical service quality may be caused by this mechanism,which requires further attention and resolution.
关 键 词:语言偏见 性别偏见 电子病历 情感分类 知识图谱
分 类 号:R197.3[医药卫生—卫生事业管理] R319[医药卫生—公共卫生与预防医学]
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