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find Author "ZHOU Shangcheng" 3 results
  • Operational efficiency and returns to scale in public tertiary general hospitals in Shandong province using data envelopment analysis approach

    Objective To explore the present situation of the efficiency about public tertiary general hospitals in Shandong province, measure and compare the efficiency and the state of returns to scale of hospitals under different bed scales. Methods Based on the input and output data of 137 public tertiary general hospitals in Shandong province in 2017, two input indicators (the number of employees and the number of actual beds) and two output indicators (the total number of outpatients and emergent patients, and the number of discharges) were selected. The technical efficiency, pure technical efficiency and scale efficiency of sample hospitals were calculated by using data envelopment analysis, and a comparative analysis was carried out under different bed scales. Results Of the 137 public tertiary general hospitals, the mean of technical efficiency value was 0.666, the medians of pure technical efficiency value and scale efficiency value in 2017 were 0.817 and 0.919, respectively. In the 137 sample hospitals, there were 132 hospitals (96.4%) in ineffective status; there were 90 hospitals (65.7%) exhibiting increasing returns to scale, 11 hospitals (8.0%) exhibiting constant returns to scale, and 36 hospitals (26.3%) exhibiting decreasing returns to scale. There were significant differences in hospital efficiency and returns to scale under different bed sizes (P<0.001), and the scale efficiency was the highest when the bed size was 1001-2000. Conclusions The overall operating efficiency of the public tertiary general hospitals in the province was not high yet. Most hospitals were in ineffective status and most of them were in the state of increasing returns to scale. The optimal scale of actual beds is between 1001 and 2000 beds from the perspective of scale efficiency.

    Release date:2022-01-27 09:35 Export PDF Favorites Scan
  • Overview of key issues in domestic and international research related to hospital accreditation

    Hospital accreditation involves a wide range of aspects and has a significant impact, receiving widespread attention from multiple parties and is a topic worthy of in-depth research. This article provides a review of research on hospital accreditation both domestically and internationally, focusing on key issues such as whether accreditation can promote the improvement of medical quality and whether third-party evaluation should be introduced. The aim is to reveal the shortcomings of research on hospital accreditation in China, provide direction for subsequent research on hospital accreditation in China, and provide a reference for improving the hospital accreditation system in China.

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  • Applied analysis of the burden of disease in the context of big data technology

    The application scenarios and conditions of the burden of disease were sorted out, and the survey databases related to disease surveillance at home and abroad and the GBD research of IHME were introduced. Through the collection of literature, five cases of the burden of disease application of health big data were summarized, and their construction modes were described in detail based on different types of databases. We pointed out the problems and challenges faced by the application of health data, and put forward some ideas and prospects for future research on the application of the burden of disease of health big data.

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