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中国深圳基层医疗机构技术效率评价及其在 COVID-19 大流行下的政策启示。

Technical Efficiency Evaluation of Primary Health Care Institutions in Shenzhen, China, and Its Policy Implications under the COVID-19 Pandemic.

机构信息

Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.

Department of Architecture, University of Cambridge, Cambridge CB2 1PX, UK.

出版信息

Int J Environ Res Public Health. 2023 Mar 2;20(5):4453. doi: 10.3390/ijerph20054453.

Abstract

(1) Background: Primary health care institutions (PHCI) play an important role in reducing health inequities and achieving universal health coverage. However, despite the increasing inputs of healthcare resources in China, the proportion of patient visits in PHCI keeps declining. In 2020, the advent of the COVID-19 pandemic further exerted a severe stress on the operation of PHCI due to administrative orders. This study aims to evaluate the efficiency change in PHCI and provide policy recommendations for the transformation of PHCI in the post-pandemic era. (2) Methods: Data envelope analysis (DEA) and the Malmquist index model were applied to estimate the technical efficiency of PHCI in Shenzhen, China, from 2016 to 2020. The Tobit regression model was then used to analyze the influencing factors of efficiency of PHCI. (3) Results: The results of our analysis reflect considerable low levels of technical efficiency, pure technical efficiency, and scale efficiency of PHCI in Shenzhen, China, in 2017 and 2020. Compared to years before the epidemic, the productivity of PHCI decreased by 24.6% in 2020, which reached the nadir, during the COVID-19 pandemic along with the considerable reduction of technological efficiency, despite the significant inputs of health personnel and volume of health services. The growth of technical efficiency of PHCI is significantly affected by the revenue from operation, percentage of doctors and nurses in health technicians, ratio of doctors and nurses, service population, proportion of children in the service population, and numbers of PHCI within one kilometer. (4) Conclusion: The technical efficiency significantly declines along with the COVID-19 outbreak in Shenzhen, China, with the deterioration of underlying technical efficiency change and technological efficiency change, regardless of the immense inputs of health resources. Transformation of PHCI such as adopting tele-health technologies to maximize primary care delivery is needed to optimize utilization of health resource inputs. This study brings insights to improve the performances of PHCI in China in response to the current epidemiologic transition and future epidemic outbreaks more effectively, and to promote the national strategy of Healthy China 2030.

摘要

(1) 背景:基层医疗卫生机构(PHCI)在减少健康不平等和实现全民健康覆盖方面发挥着重要作用。然而,尽管中国不断增加医疗保健资源的投入,PHCI 的患者就诊比例仍持续下降。2020 年,由于行政命令,COVID-19 大流行的出现进一步对 PHCI 的运营造成了严重压力。本研究旨在评估 PHCI 的效率变化,并为后疫情时代 PHCI 的转型提供政策建议。(2) 方法:采用数据包络分析(DEA)和 Malmquist 指数模型,对 2016 年至 2020 年中国深圳 PHCI 的技术效率进行了估计。然后,采用 Tobit 回归模型分析了 PHCI 效率的影响因素。(3) 结果:分析结果反映了中国深圳 PHCI 在 2017 年和 2020 年技术效率、纯技术效率和规模效率水平相当低。与疫情前相比,2020 年 PHCI 的生产力下降了 24.6%,达到了疫情期间的最低点,尽管卫生人员投入和卫生服务量显著增加,但技术效率却大幅下降。PHCI 技术效率的增长受到运营收入、医生和护士在卫生技术人员中的比例、医生和护士的比例、服务人口、服务人口中儿童的比例以及一公里范围内 PHCI 的数量的显著影响。(4) 结论:中国深圳的技术效率随着 COVID-19 的爆发而显著下降,基础技术效率变化和技术效率变化恶化,尽管卫生资源投入巨大。需要对 PHCI 进行转型,例如采用远程医疗技术,以最大限度地提高初级保健服务的提供,从而优化卫生资源投入的利用。本研究为改善中国 PHCI 的绩效提供了思路,以更有效地应对当前的流行病学转变和未来的疫情爆发,并推进健康中国 2030 国家战略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/126a/10001471/2cadabd018b2/ijerph-20-04453-g001.jpg

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