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医患互动话语与就诊满意度的关系研究
引用本文:印荷杨,赵俊.医患互动话语与就诊满意度的关系研究[J].南京医科大学学报(社会科学版),2020,20(1):55-60.
作者姓名:印荷杨  赵俊
作者单位:南京医科大学医政学院,江苏南京211166;南京医科大学第一附属医院院长办公室,江苏 南京 210029
基金项目:江苏省重大疾病生物资源样本库(BM2015004)
摘    要:借鉴国外广泛应用的Roter的互动分析系统(Roter interaction analysis system,RIAS)将医患互动中的话语量化,结合患者就诊满意度问卷调查,分析门诊医患互动话语与患者就诊满意度的关系。结果发现,医生的生物医学信息索取越多、患者的信息搜寻程度越高、患者的社会心理信息给予和积极对话越多,就诊满意度越;医生的消极对话越多、患者年龄越大,就诊满意度越低。提示医生在关注患者疾病的同时还应重视患者社会心理因素,避免消极语言的使用,关注老年患者需求,各级政府或医院也应加强患者疾病健康知识普及和医生信息提供,有利于提高患者就诊满意度。

关 键 词:医患互动  会话分析  就诊满意度
收稿时间:2019/4/17 0:00:00

Study on the relationship between doctor-patient interaction and treatment satisfaction
YIN Heyang and ZHAO Jun.Study on the relationship between doctor-patient interaction and treatment satisfaction[J].Acta Universitatis Medicinalis Nanjing(Social Science),2020,20(1):55-60.
Authors:YIN Heyang and ZHAO Jun
Institution:(School of Health Policy and Management,Nanjing Medical University,Nanjing 211166;Dean’s Office,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China)
Abstract:Based on RIAS,which is widely used abroad,we quantify the words in doctor?patient interaction.Combining with the results of questionnaire survey of patients’satisfaction with consultation,we analyzed the relationship between doctor?patient interaction words and patients’satisfaction.The results showed that more doctors’biomedical information gathering,the higher the degree of information search of patients,more psychosocial information giving and positive conversation were associated with the higher patients’satisfaction,while more doctors’negative conversation and the older patients’age are associated with the lower patient’s satisfaction.Therefore,it was suggested that doctors should pay more attention to psychosocial factors while focus on the patients’disease,avoid negative language,and focus on the needs of elderly patients.Meanwhile,governments or hospitals at all levels should strengthen the popularization of disease health knowledge and physician information provision among patients,which could enhance patient satisfaction.
Keywords:doctor?patient interaction  conversation analysis  treatment satisfaction
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