Yusefzadeh Hasan, Ghaderi Hossein, Bagherzade Rafat, Barouni Mohsen
School of Health Management and Information Sciences, Department of Management and Health Economics, Tehran University of Medical Sciences, Tehran, IR Iran.
School of Health Management and Information Sciences, Department of Foreign Lamguages, Tehran University of Medical Sciences, Tehran, IR Iran.
Iran Red Crescent Med J. 2013 May;15(5):393-9. doi: 10.5812/ircmj.4742. Epub 2013 May 5.
Hospitals are the most costly and important components of any health care system, so it is important to know their economic values, pay attention to their efficiency and consider factors affecting them.
The aim of this study was to assess the technical scale and economic efficiency of hospitals in the West Azerbaijan province of Iran, for which Data Envelopment Analysis (DEA) was used to propose a model for operational budgeting.
This study was a descriptive-analysis that was conducted in 2009 and had three inputs and two outputs. Deap2, 1 software was used for data analysis. Slack and radial movements and surplus of inputs were calculated for selected hospitals. Finally, a model was proposed for performance-based budgeting of hospitals and health sectors using the DEA technique.
The average scores of technical efficiency, pure technical efficiency (managerial efficiency) and scale efficiency of hospitals were 0.584, 0.782 and 0.771, respectively. In other words the capacity of efficiency promotion in hospitals without any increase in costs and with the same amount of inputs was about 41.5%. Only four hospitals among all hospitals had the maximum level of technical efficiency. Moreover, surplus production factors were evident in these hospitals.
Reduction of surplus production factors through comprehensive planning based on the results of the Data Envelopment Analysis can play a major role in cost reduction of hospitals and health sectors. In hospitals with a technical efficiency score of less than one, the original and projected values of inputs were different; resulting in a surplus. Hence, these hospitals should reduce their values of inputs to achieve maximum efficiency and optimal performance. The results of this method was applied to hospitals a benchmark for making decisions about resource allocation; linking budgets to performance results; and controlling and improving hospitals performance.
医院是任何医疗保健系统中成本最高且最重要的组成部分,因此了解其经济价值、关注其效率并考虑影响它们的因素非常重要。
本研究旨在评估伊朗西阿塞拜疆省医院的技术规模和经济效率,为此使用数据包络分析(DEA)来提出一个运营预算模型。
本研究是一项描述性分析,于2009年进行,有三个输入和两个输出。使用Deap2.1软件进行数据分析。计算了选定医院的松弛和径向移动以及投入过剩情况。最后,使用DEA技术提出了一个基于绩效的医院和卫生部门预算模型。
医院的技术效率、纯技术效率(管理效率)和规模效率的平均得分分别为0.584、0.782和0.771。换句话说,在不增加成本且投入量相同的情况下,医院提高效率的能力约为41.5%。在所有医院中只有四家医院具有最高水平的技术效率。此外,这些医院存在生产要素过剩的情况。
通过基于数据包络分析结果的全面规划减少过剩生产要素,可以在降低医院和卫生部门成本方面发挥重要作用。在技术效率得分低于1的医院中,投入的原始值和预测值不同,导致出现过剩。因此,这些医院应降低其投入值以实现最大效率和最佳绩效。该方法的结果被应用于医院,作为做出资源分配决策、将预算与绩效结果挂钩以及控制和改善医院绩效的基准。