Comparison of hospital bed efficiency evaluation and influencing factors for China′s hospitals at all levels
10.3760/cma.j.issn.1000-6672.2019.10.017
- VernacularTitle: 基于Network DEA-Tobit模型的各级医院病床效率评价研究
- Author:
Yabing HOU
1
;
Xinyu ZHANG
;
Yaogang WANG
Author Information
1. School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Publication Type:Journal Article
- Keywords:
Health resources;
Bed efficiency;
Technical efficiency;
Hospitals at all levels;
Data envelopment analysis
- From:
Chinese Journal of Hospital Administration
2019;35(10):862-866
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To learn the technical efficiency and influencing factors of hospital beds in China′s hospitals from 2010 to 2016.
Methods:The two-stage Network DEA-Tobit model was used to analyze the technical efficiency and influencing factors of hospital beds at all levels in China.
Results:There was a big difference in the utilization status of hospital beds at all levels. The bed burden of tertiary hospitals was heavier, and their average bed occupancy rate was 102%, while the potential of primary and secondary hospital beds was relatively large. The average technical efficiency of the hospitals in the primary, secondary and tertiary hospitals was 0.99, 0.37 and 0.82, respectively. Over-investment of resources for beds in hospitals at all levels was found with insufficient output, and the utilization of bed resources in primary and secondary hospitals was seriously insufficient. The nurse-bed ratio, per capita medical expenses of hospitalized patients, per-bed income and financial subsidy to the technical efficiency of the hospital bed were statistically significant. The correlation coefficient between the guard bed ratio and the technical efficiency of the hospital bed was 3.106 409.
Conclusions:It is necessary to further implement the hierarchical medical system and clarify the functional positioning of hospitals at all levels. It is recommended to control the scale of investment and improve the utilization efficiency of existing bed resources, and it is also imperative to improve the medical technology level and diagnosis rate of hospitals at all levels, and promote the maximization of bed utilization efficiency.
