Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Practice Variation Among Hospitals in Revascularization Therapy and Its Association With Procedure-related Mortality

Bibliographic Data

ID9103590
AuthorsJarrod E Dalton (0000-0001-8336-1212, Departments of Quantitative Health Sciences and Outcomes Research, Cleveland Clinic, corresponding author), David A Zidar (Harrington Heart and Vascular Institute, Case Western Reserve University/University Hospitals Case Medical Center), Belinda L Udeh (Department of Outcomes Research, Cleveland Clinic, Cleveland, OH), Belinda Udeh (0000-0003-0707-9009, Cleveland Clinic), Manesh R Patel (0000-0002-2393-0855, Duke Clinical Research Institute, Duke University, Durham, NC), Jesse D Schold (0000-0002-5341-7286, Department of Quantitative Health Sciences, Cleveland Clinic), Neal V Dawson (Center for Healthcare Research and Policy, Case Western Reserve University/MetroHealth Medical Center, Cleveland, OH)
Year2016
Volume54
Issue6
Pages623-631
Publication date2016-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000536
PMID27050445
OpenAlexW2336636120
LanguageEN
References cited30

BACKGROUND: While substantial practice variation in coronary revascularization has been described and deviation from clinical practice guidelines has been associated with worse outcomes, the degree to which this is driven by flawed decision making and/or appropriate deviation associated with comorbid conditions is unknown. We evaluated heterogeneity in procedure use, and the extent to which hospital-level practice variation is related to surgical mortality. METHODS: We analyzed data on 554,563 inpatients undergoing either percutaneous coronary intervention or coronary artery bypass grafting at 391 centers in 6 states. Procedure-specific risk models were developed based on demographics and comorbidities, allowing for differential effects of comorbidities for each sex. For each patient, the revascularization procedure that minimized predicted probability of inhospital mortality was designated as the model-preferred procedure.Hospital-level discordance rates-the proportion of cases in each hospital for which the opposite from the model-preferred procedure was performed-were calculated. Hierarchical linear models were used to analyze the relationship between HDRs and hospital-level risk-standardized mortality ratios (RSMRs). RESULTS: Comorbidities and demographics alone explained between 68% and 86% of overall variation in inhospital mortality (corresponding C-statistics of 0.84-0.93). The mean (SD) HDR was 26.3% (9.6%). There was a positive independent association between HDRs and inhospital mortality, with a 10% increase in HDR associated with an 11% increase in RSMR (P<0.001). CONCLUSIONS: Variance in procedure use according to model preference was strongly associated with worse outcomes. A systematic approach to incorporating comorbidity as part of the decision-making process for coronary revascularization is needed

Artery · Bypass grafting · Clinical Practice · Comorbidity · Demographics · Myocardial infarction · Percutaneous coronary intervention · Physical therapy · Revascularization · Acute Myocardial Infarction Research · Cardiac and Coronary Surgery Techniques · Coronary Interventions and Diagnostics · Demography · Emergency Medicine · Internal Medicine · Medicine

  • Regularization and Variable Selection Via the Elastic Net

    Open Access•Hui Zou, Trevor Hastie•Journal of the Royal Statistical…•2005

  • Coronary artery bypass graft surgery

    Carla Ancona, Nera Agabiti et al.•Journal of Epidemiology and…•2000

  • Offering a prognosis in lung cancer

    Frank Kee, Tracy Owen et al.•Journal of Epidemiology and…•2007

  • Access to Coronary Artery Bypass Surgery by Race/Ethnicity and Gender Among Patients Who Are Appropriate for Surgery

    Edward L Hannan, Michelle Van Ryn et al.•Medical Care•1999

  • Finally Present on Admission but Needs Attention

    Lisa I Iezzoni•Medical Care•2007

Citation velocityhistorical
Highly citedNo

Tools

Open DOISci-HubOpen Access
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