上海市社区慢性病管理效率分析:以高血压和糖尿病为例

Analyses of community chronic disease management efficiency in Shanghai: a case study of hypertension and diabetes

  • 摘要:
    目的 分析上海市社区卫生服务机构以高血压、糖尿病为代表的慢性非传染性疾病(简称“慢性病”)管理服务产出与效率,评价慢性病管理资源配置及其效率,为提升上海市社区慢性病管理效率提供参考。
    方法 选取上海市15个区的73家社区卫生服务机构,以2019、2021和2023年上海市社区卫生服务机构慢性病管理资源数据为基础,采用描述性方法和数据包络分析(DEA)模型中的BCC模型对上海市社区卫生服务机构慢性病管理资源配置、服务产出及各自效率进行分析。
    结果 2019—2023年上海市社区卫生服务机构的资源配置和服务产出指标均呈上升趋势;在服务效率方面,卫技人员人均管理慢性病患者数从237人降至231人,每工作千人时服务患者数从54人减少至44人。DEA效率分析显示:综合效率均值从2019年的0.867升至2021年的0.886,后降至2023年的0.811;纯技术效率均值从0.901下降到0.847,是综合效率降低的主因;规模效率呈先升后降趋势,从2019年的0.961升至2021年的0.977,随后在2023年回落至0.955。2019—2023年强有效区(综合效率=1.000)数量从6个减少至3个,区际效率差异扩大,综合效率极差范围从0.622~1.000发散至0.513~1.000,显示整体效率有所下降且区际异质性增强。
    结论 上海市社区卫生服务机构慢性病管理的资源配置与服务产出在2019—2023年间总量持续增加,但服务产出效率与资源配置综合效率有所下降,主要受技术效率降低影响,且区际差异扩大。

     

    Abstract:
    Objective To analyze the output and efficiency of chronic disease management services for hypertension and diabetes in community health service institutions in Shanghai, to evaluate the allocation and efficiency of chronic disease management resources, and to provide references for improving the efficiency of chronic disease management in Shanghai’s communities.
    Methods A total of 73 community health institutions from 15 districts of Shanghai were selected. Based on the chronic disease management resource data of community health institutions in 2019, 2021, and 2023, descriptive methods and the BCC model in Data Envelopment Analysis (DEA) were used to analyze the resource allocation, service output, and the efficiency of chronic disease management services in community health institutions in Shanghai.
    Results From 2019 to 2023, the indicators of resource allocation and service output of community health service institutions in Shanghai all showed upward trends. In terms of service efficiency, the average number of chronic disease patients managed by each health technician decreased from 237 to 231, and the number of patients served per 1 000 working hours decreased from 54 to 44. DEA efficiency analyses showed that the average overall efficiency increased from 0.867 in 2019 to 0.886 in 2021 and then decreased to 0.811 in 2023. The average technical efficiency decreased from 0.901 to 0.847, which was the main reason for the decline in overall efficiency. The average scale efficiency showed an initial increase followed by a decrease, rising from 0.961 in 2019 to 0.977 in 2021 and dropping back to 0.955 in 2023. The number of strong effective districts (overall efficiency=1.000) decreased from 6 in 2019 to 3 in 2023, and the efficiency differences between districts expanded. The range of overall efficiency widened from 0.622‒1.000 to 0.513‒1.000, indicating a decline in overall efficiency and an increase in inter-district heterogeneity.
    Conclusion From 2019 to 2023, the total volume of resource allocation and service output for chronic disease management in community health service institutions in Shanghai increased continuously. However, both the service output efficiency and the overall resource allocation efficiency declined, driven primarily by a decrease in technical efficiency, and accompanied by widening inter‑district disparities.

     

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