Hadji Brahim, Meyer Rodolphe, Melikeche Samir, Escalon Sylvie, Degoulet Patrice
Inserm-UMRS 1138, Cordelier Research Center, Team 22, Paris, France,
J Med Syst. 2014 Oct;38(10):127. doi: 10.1007/s10916-014-0127-9. Epub 2014 Aug 30.
Face the challenge of minimizing their resource utilization without reducing the quality of healthcare. Achieving this aim requires precise analysis and optimization of various inputs and outputs. This paper presents a systematic review of the relationships between hospital resources (considered productivity inputs) and financial and activity outcomes (considered productivity outputs). Several electronic bibliographic databases and the Internet were searched for articles published between January 1990 and December 2013 that examined the relationships between hospital resources and financial and activity outcomes. We assessed the quality of the study design, the nature of the sample, input and output indicators, and the statistical methods used for each selected study. Thirty-eight original papers were selected. Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) were the most statistical methods used. Based on our analysis, we retained 18 input and 19 output indicators that could constitute the basis for hospital productivity benchmarking. Selecting a small set of shared economic and activity indicators is relevant for assessing the productivity of a hospital, measuring trends and performing national or international benchmarking. Such indicators should be combined with quality measures for a comprehensive evaluation approach.
面对在不降低医疗质量的情况下尽量减少资源利用的挑战。实现这一目标需要对各种投入和产出进行精确分析和优化。本文对医院资源(视为生产率投入)与财务和活动结果(视为生产率产出)之间的关系进行了系统综述。我们在几个电子文献数据库和互联网上搜索了1990年1月至2013年12月期间发表的研究医院资源与财务和活动结果之间关系的文章。我们评估了研究设计的质量、样本的性质、投入和产出指标以及每个选定研究使用的统计方法。共筛选出38篇原创论文。数据包络分析(DEA)和随机前沿分析(SFA)是使用最多的统计方法。基于我们的分析,我们保留了18个投入指标和19个产出指标,这些指标可为医院生产率基准测试奠定基础。选择一小套共同的经济和活动指标对于评估医院的生产率、衡量趋势以及进行国家或国际基准测试具有重要意义。此类指标应与质量指标相结合,以形成全面的评估方法。