Xu Guo-Chao, Luo Yun, Li Qian, Wu Meng-Fan, Zhou Zi-Jun
Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China.
Chin Med J (Engl). 2016 Apr 20;129(8):953-9. doi: 10.4103/0366-6999.179796.
In recent years, the prevalence of type 2 diabetes among Chinese population has been increasing by years, directly leading to an average annual growth rate of 19.90% of medical expenditure. Therefore, it is urgent to work on strategies to control the growth of medical expenditure on type 2 diabetes on the basis of the reality of China. Therefore, in this study, we explored the feasibility of implementing bundled payment in China through analyzing bundled payment standards of type 2 diabetes outpatient services.
This study analyzed the outpatient expenditure on type 2 diabetes with Beijing Urban Employee's Basic Medical Insurance from 2010 to 2012. Based on the analysis of outpatient expenditure and its influential factors, we adopted decision tree approach to conduct a case-mix analysis. In the end, we built a case-mix model to calculate the standard expenditure and the upper limit of each combination.
We found that age, job status, and whether with complication were significant factors that influence outpatient expenditure for type 2 diabetes. Through the analysis of the decision tree, we used six variables (complication, age, diabetic foot, diabetic nephropathy, cardiac-cerebrovascular disease, and neuropathy) to group the cases, and obtained 11 case-mix groups.
We argued that it is feasible to implement bundled payment on type 2 diabetes outpatient services. Bundled payment is effective to control the increase of outpatient expenditure. Further improvements are needed for the implementation of bundled payment reimbursement standards, together with relevant policies and measures.
近年来,中国人群中2型糖尿病的患病率逐年上升,直接导致医疗费用平均每年以19.90%的速度增长。因此,迫切需要结合中国实际情况制定控制2型糖尿病医疗费用增长的策略。因此,在本研究中,我们通过分析2型糖尿病门诊服务的打包支付标准,探讨在中国实施打包支付的可行性。
本研究分析了2010年至2012年北京市城镇职工基本医疗保险中2型糖尿病的门诊费用。在分析门诊费用及其影响因素的基础上,采用决策树方法进行病例组合分析。最后,建立病例组合模型来计算每种组合的标准费用和上限。
我们发现年龄、工作状态以及是否有并发症是影响2型糖尿病门诊费用的重要因素。通过决策树分析,我们使用六个变量(并发症、年龄、糖尿病足、糖尿病肾病、心脑血管疾病和神经病变)对病例进行分组,得到11个病例组合组。
我们认为对2型糖尿病门诊服务实施打包支付是可行的。打包支付对于控制门诊费用的增长是有效的。在实施打包支付报销标准以及相关政策和措施方面还需要进一步完善。