摘要
目的通过对西北某三甲医院近年来发生的医疗纠纷案例进行分析,分析得出影响医疗纠纷发生概率的因素。方法运用回顾性分析2003年1月—2013年2月西北某三甲医院医疗纠纷的相关档案共计286例,按照1∶2进行同期同科室不同医生管理下的不同病例进行对照。需要采集病例的基本信息,患者信息和医方信息。并运用χ2检验和Logistic回归模型对有可能产生医疗纠纷的影响因素进行单因素和多因素的分析。结果单因素分析的结果显示,医疗费用、患方文化程度、职业和医保类别、医务人员的医疗服务态度和行为都是影响医疗纠纷发生的因素。多因素Logistic回归分析结果显示,医务人员的服务态度和服务行为是影响医疗纠纷发生独立因素。结论对医院医疗纠纷具有影响的因素很多,其中不但有患者自身的各方面因素的影响,而且还有社会中各因素的影响。医护人员在其中的作用并不是绝对的主导,但也有一定的影响,作为医护人员,一定要从自身出发,尽量减少对医疗纠纷。
Objective By analyzing the cases of medical disputes in a hospital in Northwest China in recent years was analyzed,Analysis of the factors that affect the probability of occurrence of medical disputes. Methods By retrospective analysis of related files January 2003-2013 year in December in a hospital in a total of 286 cases of medical disputes,For the same period in accordance with the 1：2 control for different cases with different departments under the management of the doctor.The basic information needs to be collected,Information and medical information of patients.Analysis and the use of the influence factors of the X2 test and Logical regression model of medical disputes are likely to be of single factor and multi factors. Results The results of single factor analysis is very obvious,Medical expenses,Patient education,Occupation and health insurance,Medical service attitude and behavior of medical staff are all factors that influence the occurrence of medical disputes.The multiple factor Logistic regression analysis,The medical staff service attitude and behavior are independent factors affecting the occurrence of medical disputes. Conclusion The hospital medical disputes has the influence of many factors, which not only has the patient＇s own factors, and the influence of various factors in the society. Medical staff in the leading role is not absolute, but also has certain influence, as a medical staff, must start from their own, as far as possible to reduce medical disputes.
出处
《中国卫生产业》
2016年第8期6-8,共3页
China Health Industry
关键词
医疗纠纷
影响因素
单因素分析
多因素分析
Medical disputes
Influence factors
Single factor analysis
Multi factor analysis
