在COVID-19大流行期间,希腊公共医院的运营效率:使用DEA和AHP模型进行比较分析
Athanasios Mitakos1, Panagiotis Mpogiatzidis1
1Department of Midwifery, School of Health Sciences, University of Western Macedonia, 50200 Ptolemaida, Greece; dmw00017@uowm.gr.
Journal of market access & health policy
|December 30, 2024
概括
希腊的公共医院面临着COVID-19的挑战,显示平均效率,但显示规模低效. 综合方法对于评估危机期间的医疗保健至关重要.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的运营研究
- 公共卫生政策 公共卫生政策
背景情况:
- 在全球范围内,COVID-19大流行给公共卫生保健系统带来了前所未有的压力.
- 希腊的公共医院在管理健康危机和支持当地经济方面发挥了至关重要的作用.
- 评估医院的效率对于资源分配和服务提供至关重要,尤其是在公共卫生紧急情况下.
研究的目的:
- 评估2020年COVID-19疫情期间希腊公共医院的运营效率.
- 在疫情条件下,确定希腊公共医院系统内效率低下的来源.
- 探索医疗保健效率评估的综合定量和定性方法的实用性.
主要方法:
- 数据包裹分析 (DEA) 被用于使用以结果为导向 (BCC) 和常量回报 (CCR) 模型量化评估医院效率.
- 使用分析层次流程 (AHP) 结合了定性标准和决策者的偏好.
- 在DEA和AHP发现之间进行了比较分析.
主要成果:
- 平均效率得分为BCC模型的83%,CCR模型的65%,表明整体性能,但也有改进的余地.
- 在特定的模型中,发现了规模的低效率,这表明医院的规模或容量可能在大流行期间没有得到最佳利用.
- 在定量DEA结果和定性AHP评估之间观察到很低的相关性,突出了这些方法的互补性质.
结论:
- 希腊的公共医院在COVID-19大流行期间表现出一定程度的效率,但存在显著的规模低效率.
- 综合评估方法,结合定量 (DEA) 和定性 (AHP) 方法,对于全面了解危机情况下的医疗保健效率至关重要.
- 未来的战略应侧重于解决规模效率低下的问题,并利用多标准决策工具,在公共卫生紧急情况期间提供强大的医疗保健管理.
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