1990
DOI: 10.1017/s0266462300000763
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What Do Mortality Studies Reveal about Hospital Volume, Teaching Status, And Ownership?

Abstract: Numerous recent studies use risk-adjusted patient mortality rates to measure hospital performance, focusing on such hospital characteristics as volume of patients, teaching status, and ownership. This article summarizes the empirical findings of these studies, critiques their methods and models, and offers recommendations for overcoming several obstacles to meaningful correlation of patient outcomes and provider performance.

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Cited by 12 publications
(7 citation statements)
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“…Therefore, decreasing the health costs because of reduced needs and demands for healthcare can lead to increased efficiency of the health system. (34)(35)(36). The results of these studies confirm the pessimistic scenario of the number of hospital beds, so that the increase in the number of hospital beds can increase the amount of patients' unnecessary stay in the hospital which, in turn, causes fewer people requiring hospitalization services can use these services and also increases the pressure of investing in and establishing new healthcare facilities on the health systems.…”
Section: Discussionmentioning
confidence: 64%
“…Therefore, decreasing the health costs because of reduced needs and demands for healthcare can lead to increased efficiency of the health system. (34)(35)(36). The results of these studies confirm the pessimistic scenario of the number of hospital beds, so that the increase in the number of hospital beds can increase the amount of patients' unnecessary stay in the hospital which, in turn, causes fewer people requiring hospitalization services can use these services and also increases the pressure of investing in and establishing new healthcare facilities on the health systems.…”
Section: Discussionmentioning
confidence: 64%
“…Além dos pontos destacados acima, devem ser consideradas outras questões sobre a validade da mortalidade hospitalar como medida da qualidade do cuidado (Dubois, 1987b;OTA, 1988;Roos et al, 1988;Fink et al, 1989;Des-Harnais, 1990a;Flood, 1990;Kelly, 1990;Lohr, 1990;Luft et al, 1990;Krakaver et al, 1992, Romano, 1993, Iezzoni, 1994. São elas: a) a definição do espaço de tempo apropriado para estudar os óbitos hospitalares, ou seja, em que intervalo temporal o óbito pode ser atribuído à assistência hospitalar recebida; b) o nível de agregação do indicador, ou seja, se este deve ser calculado para todos os pacientes ou desagregado segundo o diagnóstico, grupo de diagnósticos ou procedimentos médicos ou cirúrgicos específicos; c) a validade do indicador decorrente da qualidade dos dados empregados, tanto no numerador e denominador, quanto daqueles usados como co-variáveis em modelos para predição.…”
Section: Mortalidade Como Indicador De Desempenhounclassified
“…Alguns destes estudos demonstram que o volume de procedimentos realizados no hospital é negativamente associado com a taxa de mortalidade ou, dito de outra forma, que o volume é positivamente associado com a qualidade do cuidado (Flood et al, 1984 a,b;Flood & Scott, 1987;Roos et al, 1987;Showstack et al, 1987;Wennberg et al, 1987;Kelly 1990;Luft et al, 1990;Noronha, 1996). Outros estudos analisaram a associação entre a qualidade do cuidado e a formação e o treinamento profissional.…”
Section: Modelos Explicativos Da Variação Na Mortalidadeunclassified
“…However, evidence regarding the association between teaching status and mortality is mixed. 14,15 As for total number of discharges, previous studies have shown that the procedure-specific volume is the strongest predictor of in-hospital mortality. 16,17 Performing a large number of unrelated procedures is not significantly associated with lower in-hospital mortality rates.…”
Section: Instrumental Variables (Ivs)mentioning
confidence: 99%