title: Flaws in mortality data. The hazards of ignoring comorbid disease.
abstract: Recent public releases of hospital mortality data have sparked debate over methods to identify poor-quality care. We examined variations among hospitals in patient characteristics known independently to affect the risk of adverse outcomes and focused on patient comorbidity, defined as the state of health at admission apart from the primary diagnosis. Data from a study of 2935 incident cancer patients treated in seven Southern California hospitals revealed substantial variations among hospitals in age, cancer stage, and the burden of comorbid conditions. In the highest-ranked hospital, 17.9% of patients had high levels of comorbidity, compared with 9.3% in the lowest-ranked hospital. The three hospitals with the highest comorbidity were also identified as high-mortality outliers in a recent California report on hospital mortality rates. We conclude that comorbidity must be considered in any hospital quality assessment method based on patient outcome. If it is not considered, variations in referral and admission patterns may be misinterpreted as differences in hospital quality.
authors.affiliation: Department of Medicine, UCLA School of Medicine.
authors.forename: S
authors.initials: S
authors.lastname: Greenfield
authors.forename: H U
authors.initials: HU
authors.lastname: Aronow
authors.forename: R M
authors.initials: RM
authors.lastname: Elashoff
authors.forename: D
authors.initials: D
authors.lastname: Watanabe
mesh_terms: D000367:Age Factors; D000368:Aged; D002140:California; D005260:Female; D006761:Hospitals; D006801:Humans; D007902:Length of Stay; D008297:Male; D009026:Mortality; D009367:Neoplasm Staging; D009369:Neoplasms / Q000150:complications; D010043:Outcome and Process Assessment, Health Care / Q000379:methods*; D010343:Patient Admission; D011787:Quality of Health Care