虞莉莎,王全,王梓萱,贾常离,黎浩▲.湖北省公立二级综合医院运营效率和影响因素分析[J].中国医药科学,2023,(19):148-151 基金项目:湖北省妇幼保健机构发展战略研究项目(250000221) |
湖北省公立二级综合医院运营效率和影响因素分析 |
Analysis of operational efficiency and influencing factors of public secondary general hospitals in Hubei Province |
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DOI: |
中文关键词: 公立医院;二级医院;运营效率;影响因素 |
英文关键词:Public hospital; Secondary hospital; Operational efficiency; Influencing factor |
作者 | 单位 | 虞莉莎,王全,王梓萱,贾常离,黎浩▲ | 武汉大学公共卫生学院,湖北武汉 430071 |
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中文摘要: |
[摘要]目的 测算湖北省公立二级综合医院的运营效率并对其影响因素进行分析,为改善公立二级综合医院运营提供政策建议。方法 应用Bootstrap-DEA和Bootstrap-Malmquist-DEA模型对2019—2021年95家样本医院的技术效率和全要素生产率进行测量,运用Tobit回归分析影响因素。结果 2019—2021年,样本医院经Bootstrap纠偏后的技术效率的平均值分别为0.6138、0.6126和0.6230,全要素生产率下降了9.38%,其中技术效率和技术进步均呈下降趋势。Tobit回归得出技术效率值与实有床位数、病床周转次数呈正相关,与平均住院日、人均住院费用呈负相关。结论 建议公立二级综合医院基于绩效考核,开展标杆管理和可持续改进,提升自身医疗技术能力和服务质量;合理优化病床周转次数及平均住院日,降低患者住院费用;通过加强学科建设,促进技术进步。 |
英文摘要: |
[Abstract] Objective To measure the operational efficiency of public secondary general hospitals in Hubei Province and analyze the influencing factors, in order to provide policy recommendations for improving the operation of public secondary general hospitals. Methods The Bootstrap-DEA and Bootstrap-Malmquist-DEA models were used to measure the technical efficiency and total factor productivity of 95 sample hospitals from 2019 to 2021, and Tobit regression analysis was used to analyze the influencing factors. Results From 2019 to 2021, the average technical efficiency of the sample hospitals after Bootstrap correction was 0.6138, 0.6126, and 0.6230, respectively. The total factor productivity decreased by 9.38%, with both technical efficiency and technological progress showing a downward trend. Tobit regression analysis showed a positive correlation between technical efficiency and the actual number of beds and hospital bed turnover, while a negative correlation between average hospitalization days and per capita hospitalization expenses. Conclusion It is recommended that public secondary general hospitals carry out benchmark management and sustainable improvement based on performance evaluation, to enhance their medical technology capabilities, improve service quality, reasonably optimize the number of hospital bed turnover and average hospitalization days, reduce hospitalization costs of patients, and promote technological progress by strengthening disciplinary construction. |
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