| 引用本文：夏雯琪, 柯攀, 邸红昆, 王超, 卢祖洵.基于数据包络分析的全国医疗资源配置效率评价[J].中国卫生政策研究,2021,14(7):68-73 |
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| 基于数据包络分析的全国医疗资源配置效率评价 |
| 投稿时间：2021-05-14 修订日期：2021-07-17 PDF全文浏览 HTML全文浏览 |
| 夏雯琪, 柯攀, 邸红昆, 王超, 卢祖洵 |
| 华中科技大学同济医学院公共卫生学院 湖北武汉 430030 |
| 摘要:目的：分析我国医疗资源配置效率，为进一步合理配置医疗卫生资源提供科学依据。方法：采用2000-2020年《中国统计年鉴》和《中国卫生健康统计年鉴》数据，运用数据包络分析法对我国医疗资源配置效率进行评价，同时采用Malmquist模型进行动态分析。结果：1999-2019年，我国医疗资源配置效率不断提高，但受多因素综合影响，地区间差异较大，东部地区最优，西部次之，中部最低。结论：我国医疗卫生资源配置效率不断提高，但地区和省际间资源配置效率差距明显，部分省市配置的低效率和投入的规模不足问题并存。因此，政策制定和实施者应重视医疗资源配置问题，一方面要增加资源的有效供给，合理布局医疗资源；另一方面要优化资源投入和投入结构，提高产出效率。 |
| 关键词:医疗资源配置效率 数据包络分析 Malmquist指数 |
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| Evaluation of national medical resource allocation efficiency based on data envelopment analyses |
| XIA Wen-qi, KE Pan, DI Hong-kun, WANG Chao, LU Zu-xun |
| School of Public Health, Huazhong University of Science and Technology, Wuhan Hubei 430030, China |
| Abstract:Objective: Through analyzing the efficiency of medical resources allocation in China, this paper explores to provide scientific bases for further rationalizing such allocation. Methods: Based on the data from the China Statistical Yearbooks and the China Health Statistics Yearbooks from 2000 to 2020, the paper evaluates the efficiency of medical resources allocation in China by way of the data envelopment analysis (DEA). Meantime, the Malmquist model is also adopted for dynamic analyses. Results: Though China has continued to improve its overall efficiency of medical and health resources allocation from 1999 to 2019, there are still significant gaps in the efficiency of regional resources allocation due to a number of factors or their combinations. As such, China's eastern region recorded the highest efficiency, followed by the western and central regions. Conclusions: While China continues to improve its medical resources allocation, there exist significant gaps among regional and provincial allocations, in particular the inefficient allocation and insufficient investment in some provinces and cities. Therefore, when preparing and implementing relevant policies, China should, on one hand, increase the effective supply of resources for rational deployment of medical resources, and on the other hand, optimize the input and structure of resources for higher input-output ratio. |
| Key words:Medical resource allocation efficiency Data envelopment analysis (DEA) Malmquist index |
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