Hospital diagnostic aggregation and risk-adjusted quality.
Ontology highlight
ABSTRACT: Objective
To demonstrate the importance of diagnostic aggregation when assessing hospitals.Data sources
Patient data from the Victorian Admitted Episodes Database (VAED), 1999/2000 to 2004/2005. Financial statements from public hospitals, 2002/2003 to 2004/2005.Study design
Risk-adjusted quality computed for each hospital using two aggregation levels. Each is then used to estimate the relationship between hospital efficiency and quality using two-stage DEA/Tobit model by Wilson and Simar (2006).Data collection
Selected variables from the VAED were obtained from the Department of Health in Victoria, then linked anonymously with financial statements.Principal findings
Hospital quality and, in some cases, its relationship with efficiency differs depending on aggregations.Conclusions
Patient risk adjustment should be conducted using more than one aggregation level whenever possible.
SUBMITTER: Li CL
PROVIDER: S-EPMC4369225 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
Publications
Hospital diagnostic aggregation and risk-adjusted quality.
Health services research 20140806 2
<h4>Objective</h4>To demonstrate the importance of diagnostic aggregation when assessing hospitals.<h4>Data sources</h4>Patient data from the Victorian Admitted Episodes Database (VAED), 1999/2000 to 2004/2005. Financial statements from public hospitals, 2002/2003 to 2004/2005.<h4>Study design</h4>Risk-adjusted quality computed for each hospital using two aggregation levels. Each is then used to estimate the relationship between hospital efficiency and quality using two-stage DEA/Tobit model by ...[more]
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