Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method

Tugce Hanım ERSOY, Polathan KÜSBECİ
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Abstract

In recent years, the importance of health services has been increasing due to the improvement in people's quality of life, technological developments in the field of medicine and the aging of the population around the world. Hospitals, which are one of the main institutions of the health care system, are expected to reduce their expenditure values and improve their service quality. For this reason, health systems, and especially hospitals, need to constantly control their performance and provide quality service in order to identify and eliminate their inefficient resources. Although there are different methods used in the evaluation of efficiency in the field of health, Data Envelopment Analysis (DEA) is known as the most frequently used method. This study, it is aimed to carry out efficiency measurements of public hospitals for 81 provinces in Turkiye. In the study, efficiency analyzes were performed using input-oriented CCR and CCR-super-efficiency (SE). According to the results of the CCR model, 33 DMUs are efficient. and 48 DMUs are inefficient. Using the CCR-SE model, the efficient provinces were ranked. As a results of the CCR model, it has been determined which DMUs should be taken as a reference for inefficient DMUs to be efficient.
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基于数据包络分析法(DEA)的公立医院绩效评价
近年来,由于人们生活质量的提高、医学领域的技术发展和世界各地人口的老龄化,卫生服务的重要性日益增加。医院是医疗保健系统的主要机构之一,预计将减少支出价值,提高服务质量。因此,卫生系统,特别是医院,需要不断控制其绩效并提供优质服务,以确定和消除其低效资源。虽然在卫生领域的效率评价中有不同的方法,但数据包络分析(DEA)被认为是最常用的方法。本研究旨在对土耳其81个省的公立医院进行效率测量。在研究中,效率分析采用投入导向CCR和CCR-超效率(SE)进行。根据CCR模型的结果,33个dmu是有效的。48个dmu是低效的。采用CCR-SE模型对效率省份进行排序。由于CCR模型的结果,已经确定了哪些dmu应该作为低效dmu的参考来提高效率。
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