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Technical Efficiency and Scale Efficiency of District Hospitals: A Case Study

机译:地区医院的技术效率和规模效率 - 以案例研究

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The Government of Tamil Nadu state in India has been implementing various health sector reforms (for example, expansion and upgradation of public health facilities, provision of round the clock services in selected primary health centres and continuous availability of quality medicines decentralisation) in a bid to improve efficiency in health care. However, few attempts have been made to make an estimate of the efficiency of hospitals in Tamil Nadu as well as in India till date. The objectives of this study are: (i) to estimate the relative technical efficiency (TE) and scale efficiency (SE) of a sample of public hospitals in Tamil Nadu; and (ii) to demonstrate policy implications for health sector policy makers. The Data Envelopment Analysis (DEA) approach, a well-known operations research (OR) technique for evaluating the relative efficiency of a set of similar decision making units (DMU), was used to estimate the efficiency of these hospitals. To do so we made use of the data collected from the Directorate of Medical and Rural Health Services (DMRHS) for 29 districts of Tamil Nadu in 2004-05. The output data included are outpatient visits, number of inpatients, number of surgeries undertaken, number of deliveries and number of emergency cases. The numbers of staff members and bed strength were used as input. Of the 29 hospitals, it was found that 52 per cent were technically efficient as they had relative efficiency score 1.00 and lie on the efficiency frontier, while the remaining 48 per cent were technically inefficient and can use some of the efficient hospitals as their peers to improve their efficiency. Further, the average scale efficiency among the inefficient hospitals was 81 per cent, which implies that the scale inefficient hospitals could reduce their size by 19 per cent without reducing their current output levels.
机译:印度泰米尔纳德州国家政府一直在实施各种卫生部门改革(例如,公共卫生设施的扩张和升级,提供各种初级健康中心的时钟服务,并在竞标中持续提供优质药物分权)提高医疗保健效率。然而,很少有人尝试估算泰米尔纳德邦的医院效率以及截至日期。本研究的目标是:(i)估计泰米尔纳德邦的公立医院样本的相对技术效率(TE)和规模效率; (ii)展示卫生部门政策制定者的政策影响。数据包络分析(DEA)方法是用于评估一组类似决策单元(DMU)的相对效率的知名操作研究(或)技术来估计这些医院的效率。为此,我们于2004 - 05年利用了从医疗和农村卫生服务局(DMRHS)所在的数据收集的数据,于2004 - 05年。包含的输出数据包括门诊,住院患者数量,进行的手术人数,正在进行的递送数量和紧急情况次数。工作人员和床位强度的数量被用作输入。在29家医院中,发现52%的人在技术上有效,因为它们相对效率得分1.00并且躺在效率边界,而剩下的48%在技术上效率低下,可以使用一些有效的医院作为他们的同龄人提高他们的效率。此外,低效医院之间的平均规模效率为81%,这意味着规模低效医院可以减少19%的规模,而不会降低其目前的产出水平。

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