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多方法学在巴西市政医疗评估中的应用。

Multimethodology applied to the evaluation of Healthcare in Brazilian municipalities.

机构信息

Federal University of the State of Rio de Janeiro, UNIRIO, Centro de Ciências Exatas e Tecnologia, Av Pasteur 458, Rio de Janeiro, RJ, CEP 22290-250, Brazil.

Faculdade de Engenharia, State University of Rio de Janeiro, Rua São Francisco Xavier 524, 5o andar, Rio de Janeiro, CEP 20550-013, Brazil.

出版信息

Health Care Manag Sci. 2019 Jun;22(2):197-214. doi: 10.1007/s10729-018-9432-z. Epub 2018 Feb 19.

DOI:10.1007/s10729-018-9432-z
PMID:29460168
Abstract

The integration of quantitative indicators with qualitative descriptions of context is a noticeable demand from many different scientific disciplines, since it contributes to linking theoretical and practical approaches to problem solving. Amongst them are the problem structuring methods, systems thinking and multimethodology. This work presents a mixed quantitative and qualitative methodological approach to aid formulation and structuring of performance measurement of health care in 5565 Brazilian municipalities. Data mining and data envelopment analysis (DEA) are applied in the context of conceptual mapping, thus shedding light on both quantitative and qualitative factors that influence health performance. Our aim is to propose a methodology for performance indicators to support health care policy making in Brazil, using quantitative indicators. However, the approach does not lose track of the role of important qualitative factors in the attribution of meaning to performance assessments. The methodological and analytical results can strengthen mutual understanding by analysts and stakeholders of the problem at hand. Quantitative results allow inefficient municipalities to understand the causes of their overall efficiency in terms of particular low partial DEA efficiencies combined with high deathrates.

摘要

将定量指标与上下文的定性描述相结合,是许多不同科学学科的显著需求,因为它有助于将理论和实践方法联系起来解决问题。其中包括问题结构化方法、系统思维和多方法学。本研究采用混合定量和定性的方法学方法,以帮助制定和构建巴西 5565 个城市的医疗保健绩效衡量标准。数据挖掘和数据包络分析(DEA)应用于概念映射的背景下,从而阐明影响健康绩效的定量和定性因素。我们的目的是使用定量指标为巴西的医疗保健政策制定提出一种绩效指标方法。然而,该方法并没有忽视在为绩效评估赋予意义方面重要的定性因素的作用。该方法和分析结果可以加强分析师和利益相关者对当前问题的相互理解。定量结果使效率低下的城市能够了解其整体效率低下的原因,具体表现为特定的低部分 DEA 效率与高死亡率相结合。

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本文引用的文献

1
[The use of Data Envelopment Analysis (DEA) for Brazilian teaching hospitals' evaluation].[数据包络分析(DEA)在巴西教学医院评估中的应用]
Cien Saude Colet. 2007 Jul-Aug;12(4):985-98. doi: 10.1590/s1413-81232007000400020.
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Measuring routine nursing service efficiency: a comparison of cost per patient day and data envelopment analysis models.衡量常规护理服务效率:按每日每位患者成本与数据包络分析模型的比较
Health Serv Res. 1983 Summer;18(2 Pt 1):183-208.
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Hospital efficiency measurement and evaluation. Empirical test of a new technique.
带有柔性措施的交叉效率评价及其在医疗保健系统中的应用。
Health Care Manag Sci. 2019 Sep;22(3):512-533. doi: 10.1007/s10729-019-09478-0. Epub 2019 Mar 1.
医院效率测量与评估。一项新技术的实证检验。
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