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李远雷, 康正, 郝晓宁, 吴群红, 田国梅, 刘志, 郑研辉, 朱松梅, 熊滕琼, 黄荟深, 郑岩. 中国3省县级疾病预防控制中心实验室运行效率DEA模型分析[J]. 中国公共卫生, 2022, 38(6): 734-738. DOI: 10.11847/zgggws1133176
引用本文: 李远雷, 康正, 郝晓宁, 吴群红, 田国梅, 刘志, 郑研辉, 朱松梅, 熊滕琼, 黄荟深, 郑岩. 中国3省县级疾病预防控制中心实验室运行效率DEA模型分析[J]. 中国公共卫生, 2022, 38(6): 734-738. DOI: 10.11847/zgggws1133176
LI Yuan-lei, KANG Zheng, HAO Xiao-ning, . Operation efficiency of laboratories in county-level centers for disease control and prevention in China: a data envelopment analysis[J]. Chinese Journal of Public Health, 2022, 38(6): 734-738. DOI: 10.11847/zgggws1133176
Citation: LI Yuan-lei, KANG Zheng, HAO Xiao-ning, . Operation efficiency of laboratories in county-level centers for disease control and prevention in China: a data envelopment analysis[J]. Chinese Journal of Public Health, 2022, 38(6): 734-738. DOI: 10.11847/zgggws1133176

中国3省县级疾病预防控制中心实验室运行效率DEA模型分析

Operation efficiency of laboratories in county-level centers for disease control and prevention in China: a data envelopment analysis

  • 摘要:
      目的  运用数据包络分析方法评价我国县级疾控中心实验室运行效率及变化,为县级疾控中心实验室提高运行效率、进一步完善和优化卫生资源配置提供决策依据。
      方法  于2020年采用系统抽样等方法选取安徽(皖)、广东(粤)和四川(蜀)3个省县级疾控中心实验室共19家,基于数据包络分析方法(DEA)评价2019年样本机构的总体效率、纯技术效率及规模效率,利用投影分析明确存在的不足。
      结果  2019年皖、粤、蜀三地县级疾控中心实验室的总体效率平均值为0.766,技术效率平均值为0.879,规模效率平均值为0.868,其中,63.2 %(12/19)的机构为非有效单位,规模报酬方面,仅有26.4 %(5/19)的机构处于规模效率递增,投影分析显示,县级疾控中心实验室存在各投入资源利用不充分,要达到DEA有效,需要加大实验室检测样本数量和出具检测报告数量方面的产出。
      结论  目前我国县级疾控中心实验室运行效率存在下降趋势,对投入资源的利用尚不充分,存在产出不足情况,政府应该调整资源配置,促进县级疾控实验室资源利用率,增加投入资源产出转化效率。

     

    Abstract:
      Objective  To evaluate operation efficiency of laboratories in county-level centers for disease control and prevention (CDCs) in China for providing evidences to decision-making on improvement of operation efficiency of the laboratories and optimization of health resources allocation.
      Methods  Using systematic sampling and a self-designed questionnaire, we conducted onsite or letter surveys among 19 laboratories in county-level CDC of 3 provinces (Anhui, Guangdong and Sichuan) in 2020. Data envelopment analysis (DEA) was adopted to evaluate overall, technical and scale efficiency of the laboratories in 2019; projection analysis was also employed to identify shortcomings in the laboratories' operation.
      Results  For all the laboratories in 2019, the average index values were 0.766, 0.879, and 0.868 for overall, technical, and scale efficiency, respectively. Of the laboratories, 63.2% were assessed as in the state of deficiency in overall operation and only 26.4% were evaluated as having an increasing scale efficiency in terms of scale benefit. Projection analysis revealed that the resources allocated in the laboratories were not utilized sufficiently and both the number of samples/specimens detected and test reports issued should be increased to achieve operation efficiency based on DEA.
      Conclusion  At present in China, the operation efficiency of laboratories in county level CDCs is at a low grade and the allocated resources were not sufficiently utilized by the laboratories; the situation should be concerned by governmental agencies in decision-making.

     

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