title: Assessing the relationships between hospital resources and activities: a systematic review.
abstract: 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.
authors.affiliation: Inserm-UMRS 1138, Cordelier Research Center, Team 22, Paris, France, brahim.hadji@crc.jussieu.fr.
authors.forename: Brahim
authors.initials: B
authors.lastname: Hadji
authors.forename: Rodolphe
authors.initials: R
authors.lastname: Meyer
authors.forename: Samir
authors.initials: S
authors.lastname: Melikeche
authors.forename: Sylvie
authors.initials: S
authors.lastname: Escalon
authors.forename: Patrice
authors.initials: P
authors.lastname: Degoulet
mesh_terms: D017598:Efficiency, Organizational; D006295:Health Resources; D006739:Hospital Administration; D011787:Quality of Health Care; D013269:Stochastic Processes