寻求初级医疗保健中患者满意度和效率之间的相互作用:聚类和DEA分析

Q4 Business, Management and Accounting

International Journal of Multicriteria Decision Making Pub Date : 2014-09-16 DOI:10.1504/IJMCDM.2014.064795

P. Mitropoulos, Nikolaos Mastrogiannis, I. Mitropoulos

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引用次数: 13

摘要

本研究调查初级保健中心的护理效率和质量。首先，我们根据用户体验的质量水平对群体健康中心进行聚类分析，这些体验是从对具有代表性的患者样本的满意度调查中收集到的。其次，通过生成每个医疗中心的自举效率分数来进行DEA分析，然后我们从患者满意度的某些维度对代表聚类的变量进行回归。本研究结果显示，医疗中心的效率与患者满意度的几个维度有显著的统计关系。更具体地说，我们确定了效率与可及性、实验室服务和设施的直接关系。另一方面，保健中心的效率与病人对安排预约和医生服务的意见呈反比关系。

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Seeking interactions between patient satisfaction and efficiency in primary healthcare: cluster and DEA analysis

This study investigates efficiency and quality of care in primary healthcare centres. At first, we performed cluster analysis to group health centres by their level of quality based on user's experiences that were collected from a satisfaction survey over a representative sample of patients. Secondly, a DEA analysis was conducted by generating bootstrapped efficiency scores for each health centre, and then we regressed these scores on variables that represent clusters from certain dimensions of patient satisfaction. The results of this study indicate statistically significant relations of health centres' efficiency with several dimensions of patient satisfaction. More specifically we identified direct relations of efficiency with accessibility, lab services and facilities. On the other hand there exist inverse relationships of the health centres efficiency with patients' opinions regarding scheduling appointment and doctor services.

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来源期刊

International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields