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• W2887174982 startingPage "e0201466" @default.
• W2887174982 abstract "Recent evidence on the Spanish National Health System (SNHS) reveals a considerable margin for hospital efficiency and quality improvement. However, those studies do not consider both dimensions together. This study aims at jointly studying both technical efficiency (TE) and quality, classifying the public SNHS hospitals according to their joint performance.Stochastic frontier analysis is used to estimate TE and multilevel logistic regressions to build a low-quality composite measure (LQ), which considers in-hospital mortality and safety events. All hospitalizations discharged in Spain in 2003 and 2013, in 179 acute-care general hospitals, were studied. Four scenarios of resulting performance were built setting yearly medians as thresholds for the overall sample, and according to hospital-complexity strata.Overall, since 2003, median TE improved and LQ reduced -from TE2003:0.89 to TE2013:0.93 and, from LQ2003:42.6 to LQ2013:27.7 per 1,000 treated patients. The time estimated coefficient showed technical progress over the period. TE across hospitals showed scarce variability (CV2003:0.08 vs. CV2013:0.07), not so the rates of LQ (CV2003:0.64 vs. CV2013:0.76). No correlation was found between TE values and LQ rates. When jointly considering technical efficiency and quality, hospitals dealing with the highest clinical complexity showed the highest chance to be placed in optimal scenarios, also showing lesser variability between hospitals.Efficiency and quality have improved in Spanish public hospitals. Not all hospitals experiencing improvements in efficiency equally improved their quality. The joint analysis of both dimensions allowed identifying those optimal hospitals according to this trade-off." @default.
• W2887174982 created "2018-08-22" @default.
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• W2887174982 date "2018-08-02" @default.
• W2887174982 modified "2023-10-10" @default.
• W2887174982 title "Quality and technical efficiency do not evolve hand in hand in Spanish hospitals: Observational study with administrative data" @default.
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• W2887174982 doi "https://doi.org/10.1371/journal.pone.0201466" @default.
• W2887174982 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6072019" @default.
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• W2887174982 hasPublicationYear "2018" @default.
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