Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Hospital Mortality Risk Adjustment for Heart Failure Patients Using Present on Admission Diagnoses

Improved Classification and Calibration

Bibliographic Data

ID9102594
AuthorsGeorge J Stukenborg (University of Virginia, corresponding author)
Year2011
Volume49
Issue8
Pages744-751
Publication date2011-08-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e31821a9812
PMID21577166
OpenAlexW1985336722
LanguageEN
References cited20

BACKGROUND AND OBJECTIVE: Heart failure patient mortality rates are a focus of hospital quality assessment. This study examines whether comprehensive use of diagnoses identified as present on admission improves methods for comparing hospital mortality rates. RESEARCH DESIGN: California hospital mortality rates are assessed using the Agency for Healthcare Research and Quality Inpatient Quality Indicator for heart failure, which uses selected diagnoses identified as present on admission. These rates are compared with rates calculated using comprehensive adjustments for diagnoses identified as present on admission. Models are compared to assess the accuracy of classification and to compare differences in hospitals identified with lower or higher than expected mortality. SUBJECTS: The study included 91,511 discharge records for patients with heart failure from 365 California hospitals for patients discharged in 2007. RESULTS: Every aspect of statistical model performance (discrimination, classification, calibration, and explanatory power) was improved by using more comprehensive adjustments for diagnoses identified as present on admission. The number of hospitals originally identified with higher than expected mortality was reduced by 50%. CONCLUSIONS: More comprehensive use of diagnoses identified as present on admission improves the performance of mortality risk adjustment methods, and these improvements meaningfully change the results of hospital mortality rate comparisons

Heart failure · Intensive care medicine · Medical diagnosis · Mortality rate · Acute Myocardial Infarction Research · Emergency Medicine · Heart Failure Treatment and Management · Internal Medicine · Medicine · Sepsis Diagnosis and Treatment

  • Dose‐response analyses using restricted cubic spline functions in public health research

    Open Access•Loic Desquilbet, François Mariotti•Statistics in Medicine•2010

  • A note on a general definition of the coefficient of determination

    N J D NAGELKERKE•Biometrika•1991

  • A simulation study of the number of events per variable in logistic regression analysis

    Open Access•Peter Peduzzi, John Concato et al.•Journal of Clinical Epidemiology•1996

  • The meaning and use of the area under a receiver operating characteristic (ROC) curve.

    J A Hanley, Barbara J Mcneil•Radiology•1982

  • The Measurement of Observer Agreement for Categorical Data

    J R Landis, Gary G Koch•Biometrics•1977

  • A Note on the Interpretation of Weighted Kappa and its Relations to Other Rater Agreement Statistics for Metric Scales

    Open Access•Christof Schuster•Educational and Psychological…•2004

  • Administrative Versus Clinical Data for Coronary Artery Bypass Graft Surgery Report Cards

    Joseph P Parker, Zhongmin Li et al.•Medical Care•2006

  • Impact of the Present-on-Admission Indicator on Hospital Quality Measurement

    Laurent G Glance, Turner M Osler et al.•Medical Care•2008

  • Finally Present on Admission but Needs Attention

    Lisa I Iezzoni•Medical Care•2007

  • Comparison of the Performance of Two Comorbidity Measures, With and Without Information From Prior Hospitalizations

    George J Stukenborg, Douglas P Wagner et al.•Medical Care•2001

Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae