摘要
目的研究辽宁省某县级公立医院2型糖尿病住院费用的变动情况及变动原因,为控制2型糖尿病住院费用提供合理依据。方法收集2014年1月1日-2017年12月31日间该机构2型糖尿病患者的住院费用资料,运用新灰色关联度与结构变动度方法,对2型糖尿病患者住院费用的各单项费用影响程度及变动情况进行分析。结果新灰色关联度方法得出对住院费用影响程度由强到弱的费用依次为诊疗费、药品费、卫生材料费、其他费用与护理费;结构变动度方法得出诊疗费、卫生材料费与其他费用对住院费用呈正向贡献变动,药品费与护理费对住院费用呈负向贡献变动。结论优化诊疗项目及诊疗方式、深化"药品零差价"制度实施,加强药品成本核算、规范和控制卫生材料使用,可有效减少2型糖尿病患者住院费用。
Objective To study the changes and the reasons for the change of hospitalization expenses for type 2 diabetes in a county-level public hospital in Liaoning Province,and provide a reasonable basis for controlling the hospitalization expenses of type 2 diabetes.Methods The hospitalization expenses data of patients with type 2 diabetes in the institution from January 1,2014-December 31,2017 were collected.The new gray correlation degree and structural variation degree method were used to analyze the influence degree and change of each individual cost of hospitalization expenses for type 2 diabetes patients.Results The new gray correlation method shows that the degree of influence on hospitalization expenses is from medical treatment to medical treatment,medicine,health materials,other expenses and nursing expenses.The structural variation method is used to obtain medical expenses,health materials and other expenses.The hospitalization expenses showed a positive contribution change,and the drug and nursing expenses showed a negative contribution to the hospitalization expenses.Conclusion Optimize the diagnosis and treatment programs and Methods of diagnosis and treatment,deepen the implementation of the'zero price difference'system,strengthen drug cost accounting,standardize and control the use of sanitary materials,and effectively control the hospitalization expenses of patients with type 2 diabetes.
作者
关鑫
丁亚
王珺婷
陈俊峰
Guan Xin;Ding Ya;Wang Junting;Chen Junfeng(The College of Public Health of Dalian Medical University,Dalian116044,Liaoning Province,China)
出处
《中国病案》
2019年第2期58-60,共3页
Chinese Medical Record
关键词
2型糖尿病
次均住院费用
新灰色关联度
结构变动度
Type 2 diabetes
Secondary hospitalization expenses
New gray correlation
Structural variation