Analysis of the changing trend and influencing factors of resource allocation efficiency of maternal and child health care institutions in China based on DEA and ARIMA models
ZHANG Bin1 ZHANG Longxiu2
1.Section of Science and Education, Anhui Maternal and Child Health Hospital, Anhui Province, Hefei 230001, China;
2.Image Center, Anhui Children’s Hospital, Anhui Province, Hefei 230041, China
Abstract：Objective To explore the changing trend and key influencing factors of health resource allocation efficiency in maternal and child health care institutions in China, and to put forward policy suggestions for rational allocation of health resources. Methods The index data of basic configuration (number of institutions, number of beds, and health technicians), service quantity (total number of visits, number of inpatients) and service efficiency (number of bed turnover, bed working days, and bed utilization rate) of maternal and child health institutions were selected from China Statistical Yearbook and China Health Statistical Yearbook from January 2010 to December 2020. The autoregressive integrated moving average model was used to predict the change trend of each index from 2021 to 2025, and the data envelopment analysis (DEA) model was used to comprehensively evaluate the input-output efficiency from 2010 to 2025, and the key influencing factors were found out. Results It was predicted that 2022—2025 would be a non-DEA effective year. From 2010 to 2025, the average values of input-output comprehensive technical efficiency change index, pure technical efficiency, and scale efficiency were one, and the average values of technological progress index and total factor productivity index were 0.971. The main influencing factor was technological progress index. In 2020, the lowest comprehensive benefit was 0.872, and the lowest total factor productivity index was 0.825. Conclusion The basic allocation input and service quantity output of maternal and child health care institutions in China are relatively high, and the service efficiency has not been significantly improved. The technological progress index is the main influencing factor that affects the output efficiency and improves the total factor productivity index, which is paid special attention during the “14th Five-Year Plan” period.
张彬1 张龙秀2. 基于DEA和ARIMA模型我国妇幼保健机构资源配置效率变化趋势及影响因素分析[J]. 中国医药导报, 2023, 20(27): 192-196.
ZHANG Bin1 ZHANG Longxiu2. Analysis of the changing trend and influencing factors of resource allocation efficiency of maternal and child health care institutions in China based on DEA and ARIMA models. 中国医药导报, 2023, 20(27): 192-196.
京公网安备 11010502046598号