影响墨西哥基层糖尿病护理技术效率的因素。

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Health policy and planning Pub Date : 2024-03-12 DOI:10.1093/heapol/czad122
Carlos Chivardi, Alejandro Zamudio Sosa
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引用次数: 0

摘要

导言:糖尿病发病率在全球范围内不断上升,尤其是在墨西哥等中低收入国家,这给医疗保健系统带来了挑战,因为这些国家需要高效的初级医疗保健来管理这种疾病。然而,医疗保健效率受到决策者以外因素的影响,包括社会经济和政治条件。本研究旨在评估 12 年间墨西哥糖尿病患者初级医疗保健的技术效率,并探讨环境变量对效率的影响:方法:利用 2009 年至 2020 年间 242 个卫生辖区的行政和社会人口数据进行纵向分析。采用自引导和产出导向的数据包络分析法来衡量技术效率,将基础设施中的卫生资源和人力资源作为投入。作为结果,考虑了接受糖尿病治疗的患者人数和糖尿病得到控制的患者人数。采用机器学习算法分析了影响糖尿病医疗服务提供的多种因素,并评估了不同卫生辖区效率的异质性和趋势:2009年,糖尿病患者初级医疗保健的平均技术效率为0.44(CI:0.41-0.46),2016年达到峰值0.71(CI:0.69-0.72),2020年适度下降至0.60(CI:0.57-0.62),这些差异具有统计学意义。随机森林分析表明,边缘化指数、初级医疗保健覆盖率、土著人口比例和医疗服务需求是预测效率水平的最有影响力的变量:这项研究强调了制定有针对性的公共政策的关键必要性,这些政策旨在扩大初级医疗保健服务的范围,尤其侧重于解决边缘化人口和原住民面临的独特挑战。根据我们的研究结果,有必要对医疗管理进行调整,以适应这些人群的特殊要求和需要,从而保证墨西哥医疗服务的公平性。
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Factors influencing the technical efficiency of diabetes care at primary care level in Mexico.

Diabetes prevalence is rising globally, especially in low- and middle-income countries like Mexico, posing challenges for healthcare systems that require efficient primary care to manage the disease. However, healthcare efficiency is influenced by factors beyond decision-makers, including socioeconomic and political conditions. This study aims to evaluate the technical efficiency of primary healthcare for diabetes patients in Mexico over a 12-year period and explore the impact of contextual variables on efficiency. A longitudinal analysis was conducted using administrative and socio-demographic data from 242 health jurisdictions between 2009 and 2020. Data envelopment analysis with bootstrapping and output orientation was used to measure the technical efficiency; health resources in infrastructure and human resources were used as inputs. As outcome, the number of patients receiving treatment for diabetes and the number of patients with controlled diabetes were considered. Machine learning algorithms were employed to analyse multiple factors affecting the provision of diabetes health services and assess heterogeneity and trends in efficiency across different health jurisdictions. The average technical efficiency in primary healthcare for diabetes patients was 0.44 (CI: 0.41-0.46) in 2009, reaching a peak of 0.71 (CI: 0.69-0.72) in 2016, and moderately declining to 0.60 (CI: 0.57-0.62) in 2020; these differences were statistically significant. The random forest analysis identified the marginalization index, primary healthcare coverage, proportion of indigenous population and demand for health services as the most influential variables in predicting efficiency levels. This research underscores the crucial need for the formulation of targeted public policies aimed at extending the scope of primary healthcare services, with a particular focus on addressing the unique challenges faced by marginalized and indigenous populations. According to our results, it is necessary that medical care management adjust to the specific demands and needs of these populations to guarantee equitable care in Mexico.

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来源期刊
Health policy and planning
Health policy and planning 医学-卫生保健
CiteScore
6.00
自引率
3.10%
发文量
98
审稿时长
6 months
期刊介绍: Health Policy and Planning publishes health policy and systems research focusing on low- and middle-income countries. Our journal provides an international forum for publishing original and high-quality research that addresses questions pertinent to policy-makers, public health researchers and practitioners. Health Policy and Planning is published 10 times a year.
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