The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Judging hospitals by severity-adjusted mortality rates: the influence of the severity-adjustment method.
Open accessAbstract
OBJECTIVES: This research examined whether judgments about a hospital's risk-adjusted mortality performance are affected by the severity-adjustment method. METHODS: Data came from 100 acute care hospitals nationwide and 11880 adults admitted in 1991 for acute myocardial infarction. Ten severity measures were used in separate multivariable logistic models predicting in-hospital death. Observed-to-expected death rates and z scores were calculated with each severity measure for each hospital. RESULTS: Unadjusted mortality rates for the 100 hospitals ranged from 4.8% to 26.4%. For 32 hospitals, observed mortality rates differed significantly from expected rates for 1 or more, but not for all 10, severity measures. Agreement between pairs of severity measures on whether hospitals were flagged as statistical mortality outliers ranged from fair to good. Severity measures based on medical records frequently disagreed with measures based on discharge abstracts. CONCLUSIONS: Although the 10 severity measures agreed about relative hospital performance more often than would be expected by chance, assessments of individual hospital mortality rates varied by different severity-adjustment methods.
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Cites
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
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Charlson Comorbidity Index: A Critical Review of Clinimetric Properties
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Consensus-based method for risk adjustment for surgery for congenital heart disease
Jenkins, K. J., Gauvreau, K., Newburger, J. W., Spray, T. L., Moller, J. H., & Iezzoni, L. I. (2002) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1067/mtc.2002.119064 · Cited by 1,368
Self-citationExplaining differences in English hospital death rates using routinely collected data
Jarman, B., Gault, S., Alves, B., Hider, A., Dolan, S., Cook, A., Hurwitz, B., & Iezzoni, L. I. (1999) · BMJ · doi:10.1136/bmj.318.7197.1515 · Cited by 386
Self-citationThe importance of surgeon volume and training in outcomes for vascular surgical procedures
Pearce, W. H., Parker, M. A., Feinglass, J., Ujiki, M., & Manheim, L. M. (1999) · Journal of Vascular Surgery · doi:10.1016/s0741-5214(99)70202-8 · Cited by 277
Metadata
- Authors
- Iezzoni, L. I., Ash, A. S., Shwartz, M., Daley, J., Hughes, J. S., & Mackiernan, Y. D.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 1996-10
- Volume
- 86
- Issue
- 10
- Pages
- 1379-1387
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2072737565
- Cited by
- 173
- References
- 1
- FWCI
- 24.40
- Type
- journal article
- Language
- en
- Open access
- green
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- Iezzoni, L. I., Ash, A. S., Shwartz, M., Daley, J., Hughes, J. S., & Mackiernan, Y. D. (1996). Judging hospitals by severity-adjusted mortality rates: the influence of the severity-adjustment method. American Journal of Public Health. https://doi.org/10.2105/ajph.86.10.1379
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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