Literature DB >> 22438431

Sources of hospital variation in short-term readmission rates after percutaneous coronary intervention.

Robert W Yeh1, Kenneth Rosenfield, Katya Zelevinsky, Laura Mauri, Rahul Sakhuja, Daniel M Shivapour, Ann Lovett, Bonnie H Weiner, Alice K Jacobs, Sharon-Lise T Normand.   

Abstract

BACKGROUND: Risk-standardized all-cause 30-day readmission rates (RSRRs) after percutaneous coronary intervention (PCI) have been endorsed as a national measure of hospital quality. Little is known about variation in the performance of hospitals on this measure, and whether high hospital rates of readmission after PCI are due to modifiable deficiencies in quality of care has not been assessed. METHODS AND
RESULTS: We estimated 30-day, all-cause RSRRs for all nonfederal PCI-performing hospitals in Massachusetts, adjusted for clinical and angiographic variables, between 2005 and 2008. We assessed if differences in race, insurance type, and PCI and post-PCI characteristics, including procedural complications and discharge characteristics, could explain variation between hospitals using nested hierarchical logistic regression models. Of 36 060 patients undergoing PCI at 24 hospitals and surviving to discharge, 4469 (12.4%) were readmitted within 30 days of discharge. Hospital RSRRs ranged from 9.5% to 17.9%, with 8 of 24 hospitals being identified as outliers (4 lower than expected and 4 higher than expected). Differences in race, insurance, PCI, and post-PCI factors accounted for 10.4% of the between-hospital variance in RSRRs.
CONCLUSIONS: We observed wide variation in hospital 30-day all-cause RSRRs after PCI, most of which could not be explained by identifiable differences in procedural and postprocedural factors. A better understanding of etiologies of hospital variation is necessary to determine whether this measure is an actionable assessment of hospital quality, and, if so, how hospitals might improve their performance.

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Year:  2012        PMID: 22438431     DOI: 10.1161/CIRCINTERVENTIONS.111.967638

Source DB:  PubMed          Journal:  Circ Cardiovasc Interv        ISSN: 1941-7640            Impact factor:   6.546


  13 in total

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2.  Identification of hospital outliers in bleeding complications after percutaneous coronary intervention.

Authors:  Connie N Hess; Sunil V Rao; Lisa A McCoy; Megan L Neely; Mandeep Singh; John A Spertus; Ronald J Krone; W Douglas Weaver; Eric D Peterson
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4.  Should We Care About Short-Term Readmissions After Percutaneous Coronary Intervention?

Authors:  Jordan B Strom; Robert W Yeh
Journal:  Circ Cardiovasc Interv       Date:  2017-12       Impact factor: 6.546

5.  Predicting readmission or death after acute ST-elevation myocardial infarction.

Authors:  Jeremiah R Brown; Sheila M Conley; Nathaniel W Niles
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6.  Incidence and predictors of 30-day hospital readmission rate following percutaneous coronary intervention (from the National Heart, Lung, and Blood Institute Dynamic Registry).

Authors:  Mark J Ricciardi; Faith Selzer; Oscar C Marroquin; Elizabeth M Holper; Lakshmi Venkitachalam; David O Williams; Sheryl F Kelsey; Warren K Laskey
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7.  Development and validation of a simple risk score to predict 30-day readmission after percutaneous coronary intervention in a cohort of medicare patients.

Authors:  Karl E Minges; Jeph Herrin; Paul N Fiorilli; Jeptha P Curtis
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8.  National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999-2010.

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9.  Clinical preventability of 30-day readmission after percutaneous coronary intervention.

Authors:  Jason H Wasfy; Jordan B Strom; Stephen W Waldo; Cashel O'Brien; Neil J Wimmer; Adrian H Zai; Jennifer Luttrell; John A Spertus; Kevin F Kennedy; Sharon-Lise T Normand; Laura Mauri; Robert W Yeh
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10.  Facility-Level Percutaneous Coronary Intervention Readmission Rates Are Not Associated With Facility-Level Mortality: Insights From the VA Clinical Assessment, Reporting, and Tracking (CART) Program.

Authors:  Timothy W Hegeman; Thomas J Glorioso; Edward Hess; Anna E Barón; P Michael Ho; Thomas M Maddox; Steven M Bradley; Robert E Burke
Journal:  J Am Heart Assoc       Date:  2016-09-14       Impact factor: 5.501

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