title: [Variation in hospital performance according to payment sources in the states of São Paulo and do Rio Grande do Sul, Brazil].
abstract: In Brazil, the combined presence of public and private interests in financing and provision of healthcare services stands out clearly in hospital care. Financing arrangements adopted by hospitals (the public Brazilian Unified National Health System - SUS and/or health plans and/or out-of-pocket payment) can affect quality of care. Studies have analyzed the hospital standardized mortality ratio (HSMR) in relation to quality improvements. The objective was to analyze HSMR according to source of payment for the hospitalization and the hospital's financing arrangement. The study analyzed secondary data and causes that accounted for 80% of hospital deaths. HSMR was calculated for each hospital and payment source. Hospitals with worse-than-expected performance (HSMR > 1) were mostly large public hospitals. HSMR was higher in the SUS, including between admissions in the hospital. Despite the study's limitations, the findings point to inequalities in results of care. Efforts are needed to improve the quality of hospital services, regardless of the payment sources.
authors.affiliation: Agência Nacional de Saúde Suplementar, Rio de Janeiro, Brasil.
authors.forename: Juliana Pires
authors.initials: JP
authors.lastname: Machado
authors.affiliation: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
authors.forename: Mônica
authors.initials: M
authors.lastname: Martins
authors.affiliation: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
authors.forename: Iuri da Costa
authors.initials: Ida C
authors.lastname: Leite
mesh_terms: D001938:Brazil; D003430:Cross-Sectional Studies; D006751:Hospital Information Systems / Q000706:statistics & numerical data; D017052:Hospital Mortality; D006760:Hospitalization / Q000191:economics* / Q000706:statistics & numerical data; D006761:Hospitals / Q000145:classification / Q000706:statistics & numerical data*; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000191:economics / Q000706:statistics & numerical data; D017061:Prepaid Health Plans / Q000191:economics; D055818:Public-Private Sector Partnerships / Q000191:economics / Q000706:statistics & numerical data; D058996:Quality Improvement; D011787:Quality of Health Care / Q000145:classification / Q000191:economics* / Q000706:statistics & numerical data; D020379:Risk Adjustment