dc.creatorGomes, Andrea Silveira
dc.creatorKluck, Mariza Machado
dc.creatorFachel, Jandyra Maria Guimarães
dc.creatorRiboldi, João
dc.date2011-08-04T06:01:30Z
dc.date2010
dc.identifier1415-790X
dc.identifierhttp://hdl.handle.net/10183/30598
dc.identifier000762144
dc.descriptionObjective: To use a multilevel analysis methodology to evaluate hospital mortality from the data available in the Hospital Information System of the National Unified Health System. Methods: Cross-sectional study with data obtained from Authorization Forms for Hospital Admissions in Rio Grande do Sul, Brazil in 2005. The modeling was performed using multilevel logistic regression, with variables from the individual level (hospital admissions) and the context level (hospital profile). The variability originated from individual variables was analyzed as well as the participation of the profile of hospitals in the rate of hospital mortality. Results: The crude death rate calculated for all hospitals was 6.3%. The variables “Use of Intensive Care Unit” followed by “Patient Age” were the main predictors for hospital death at the individual level. The context variables that were related most closely to hospital death (outcome) were: size of hospital, legal nature, and average length of stay. The OR for deaths at large hospitals was 1.85 times the odds for small hospitals and the OR for medium hospitals was 1.69 times the odds for small ones. The chance of deaths in public hospitals was 67% higher than in private ones. Conclusions: The hospital profile has an important role in hospital mortality in the Hospital Information System of the National Unified Health System. Multilevel analysis should be used to estimate the contribution of the profile of mortality in hospitals.
dc.formatapplication/pdf
dc.languageeng
dc.relationRevista brasileira de epidemiologia = Brazilian journal of epidemiology. Porto Alegre. Vol. 13, no. 3 (Sept. 2010), p. 1-10
dc.rightsOpen Access
dc.subjectEstatística aplicada : Medicina
dc.subjectModelo multinível
dc.subjectHospital mortality.
dc.subjectMultilevel analysis
dc.subjectMultilevel logistic regression models
dc.subjectQuality care
dc.subjectEvaluation of health services
dc.subjectUnified Health System
dc.titleFactors associated with hospital mortality in Rio Grande do Sul SUS network in 2005 : application of a multilevel model
dc.typeArtigo de periódico
dc.typeNacional


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