Work Study
Comprehensive evaluation of tertiary public hospitals in China based on scientific and technological innovation capability and efficiency
Xu Meimei, Shan Lianhui, Gong Xiaocui, An Xinying
Published 2022-01-02
Cite as Chin J Hosp Admin, 2022, 38(1): 67-72. DOI: 10.3760/cma.j.cn111325-20210731-00698
Abstract
ObjectiveTo comprehensively evaluate the scientific and technological innovation capability and efficiency of hospitals and provide references for effectively promoting their high-quality development in scientific innovation.
MethodsThe indexes of 69 tertiary public general hospitals were collected in 2018. The science and technology innovation capability of these hospitals was evaluated using science and technology evaluation metrics(STEM), while their science and technology innovation efficiency was evaluated using the super-efficiency data envelopment analysis model. Then the matching relation of the two dimensions was analyzed, with outstanding hospitals identified using the skyline algorithm.
ResultsThe STEM and science/technology innovation efficiency of 69 tertiary public hospitals averaged 29.61 and 0.960 respectively. Based on STEM and efficiency, the 69 hospitals were divided into four types: the type of high capability and efficiency comprising 9 hospitals(13.04%), that of high capability and low efficiency comprising 16 hospitals(23.19%), that of low capability and high efficiency comprising 16 hospitals(23.19%) and that of low capability and efficiency comprising 28 hospitals(40.58%). Five hospitals(7.24%)were selected as outstanding examples of science and technology innovation.
ConclusionsThis study constructed a set of scientific and effective methods for comprehensively evaluating scientific and technological innovation capability and efficiency, for classifying the current state of science and technology innovation of a hospital and identifying outstanding ones. The assessment results could enable the hospitals to make targeted management measures.
Key words:
Hospitals, public; Science and technology innovation; Evaluation studies; Science and technology evaluation metrics; Science and technology innovation efficiency; Skyline algorithm
Contributor Information
Xu Meimei
Institute of Chinese Medical Informatics, Chinese Academy of Medical Sciences, Beijing 100020, China
Shan Lianhui
Institute of Chinese Medical Informatics, Chinese Academy of Medical Sciences, Beijing 100020, China
Gong Xiaocui
Institute of Chinese Medical Informatics, Chinese Academy of Medical Sciences, Beijing 100020, China
An Xinying
Institute of Chinese Medical Informatics, Chinese Academy of Medical Sciences, Beijing 100020, China