Evaluation of the scientific research efficiency of 100 tertiary hospitals and the influencing factors analysis based on Bootstrap DEA-OLS model
10.3760/cma.j.issn.1000-6672.2019.02.013
- VernacularTitle:基于Bootstrap DEA-OLS模型的百所三级医院科研效率及影响因素分析
- Author:
Meimei XU
1
;
Lianhui SHAN
;
Hua ZHONG
;
Yifei LI
;
Xinying AN
Author Information
1. 中国医学科学院医学信息研究所
- Keywords:
Scientific research efficiency;
Efficiency evaluation;
Bootstrap-DEA method;
OLS regression model
- From:
Chinese Journal of Hospital Administration
2019;35(2):141-145
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the scientific research efficiency of tertiary hospitals and analyze the influencing factors, providing reference for the decision-making of scientific research managers in China. Methods Evaluation indicators were collected from 100 tertiary hospitals in China, and their research efficiency was evaluated using Bootstrap data envelopment analysis (DEA) method. The influencing factors were analyzed using ordinary least square ( OLS) regression model. Results The averaged scientific research efficiency of these hospitals using Bootstrap DEA method was 0. 5224, lower than that using conventional DEA method (0. 0676), yet with a great variation (from 0. 1103 to 0. 8790) among them. Linear regression analysis showed that factors such as R&D input and output, and hospital types has statistical significance on the saentific research efficiency (P < 0. 05). Conclusions These hospitals are inefficient in scientific research with sizable room for improvement. Conventional DEA method should be used with caution, as deviations should be corrected with Bootstrap DEA method. The research development level and hospital types of their province can influence the research efficiency the hospitals significantly.
