Department of Industrial Engineering and Management, Shamoon College of Engineering, Beer-Sheva, Israel.
Eur J Health Econ. 2013 Apr;14(2):253-65. doi: 10.1007/s10198-011-0366-3. Epub 2011 Dec 7.
Firstly, to compare healthcare systems' efficiency (HSE) using two models: one incorporating mostly inputs that are considered to be within the discretionary control of the healthcare system (i.e., physicians' density, inpatient bed density, and health expenditure), and another, including mostly inputs beyond healthcare systems' control (i.e., GDP, fruit and vegetables consumption, and health expenditure). Secondly, analyze whether institutional arrangements, population behavior, and socioeconomic or environmental determinants are associated with HSE.
Data envelopment analysis (DEA) was utilized to calculate OECD countries' HSE. Life expectancy and infant survival rate were considered as outputs in both models. Healthcare systems' rankings according to the super-efficiency and the cross-efficiency ranking methods were used to analyze determinants associated with efficiency.
(1) Healthcare systems in nine countries with large and stable economies were defined as efficient in model I, but were found to be inefficient in model II; (2) Gatekeeping and the presence of multiple insurers were associated with a lower efficiency; and (3) The association between socioeconomic and environmental indicators was found to be ambiguous.
Countries striving to improve their HSE should aim to impact population behavior and welfare rather than only ensure adequate medical care. In addition, they may consider avoiding specific institutional arrangements, namely gatekeeping and the presence of multiple insurers. Finally, the ambiguous association found between socioeconomic and environmental indicators, and a country's HSE necessitates caution when interpreting different ranking techniques in a cross-country efficiency evaluation and needs further exploration.
首先,使用两种模型比较医疗保健系统的效率(HSE):一种模型纳入了大多数被认为在医疗保健系统可控制范围内的投入,如医生密度、住院床位密度和卫生支出;另一种模型纳入了大多数超出医疗保健系统控制范围的投入,如 GDP、水果和蔬菜消费以及卫生支出。其次,分析制度安排、人口行为以及社会经济或环境决定因素是否与 HSE 相关。
采用数据包络分析(DEA)来计算经合组织国家的 HSE。在两种模型中,预期寿命和婴儿存活率都被视为产出。利用超效率和交叉效率排名方法对医疗保健系统的排名进行分析,以确定与效率相关的决定因素。
(1)在模型 I 中,九个经济规模大且稳定的国家的医疗保健系统被定义为有效,但在模型 II 中被发现为无效;(2)守门人和存在多个保险公司与效率较低相关;(3)社会经济和环境指标之间的关联被发现不明确。
努力提高 HSE 的国家应旨在影响人口行为和福利,而不仅仅是确保提供足够的医疗保健。此外,他们可能会考虑避免特定的制度安排,即守门人和存在多个保险公司。最后,社会经济和环境指标与一个国家的 HSE 之间的关联不明确,这在对不同国家的效率进行跨国评估时需要谨慎解释不同的排名技术,并需要进一步探讨。