Development of a clinical registry-based 30-day readmission measure for coronary artery bypass grafting surgery.

Circulation

From the Massachusetts General Hospital and Harvard Medical School, Boston, MA (D.M.S.); Duke Clinical Research Institute, Durham, NC (X.H., S.M.O., E.P.); University of Colorado School of Medicine-Anschutz Medical Campus, Aurora, CO, and Denver Department of Veterans Affairs Medical Center, Denver, CO (F.L.G.); All Children's Hospital, John Hopkins University, Saint Petersburg, FL (J.P.J.); University of Florida College of Medicine, Jacksonville, FL (F.H.E.); Children's Hospital of Illinois and the University of Illinois College of Medicine, Peoria, IL (K.F.W.); Yale-New Haven Health Services Corporation Center for Outcomes Research and Evaluation (CORE) and Yale School of Medicine, New Haven, CT (L.G.S., E.D.); Society of Thoracic Surgeons, Chicago, IL (C.M.S.); and Centers for Medicare and Medicaid Services, Baltimore, MD (L.H.).

Published: July 2014

Background: Reducing readmissions is a major healthcare reform goal, and reimbursement penalties are imposed for higher-than-expected readmission rates. Most readmission risk models and performance measures are based on administrative rather than clinical data.

Methods And Results: We examined rates and predictors of 30-day all-cause readmission following coronary artery bypass grafting surgery by using nationally representative clinical data (2008-2010) from the Society of Thoracic Surgeons National Database linked to Medicare claims records. Among 265 434 eligible Medicare records, 226 960 (86%) were successfully linked to Society of Thoracic Surgeons records; 162 572 (61%) isolated coronary artery bypass grafting admissions constituted the study cohort. Logistic regression was used to identify readmission risk factors; hierarchical regression models were then estimated. Risk-standardized readmission rates ranged from 12.6% to 23.6% (median, 16.8%) among 846 US hospitals with ≥30 eligible cases and ≥90% of eligible Centers for Medicare and Medicaid Services records linked to the Society of Thoracic Surgeons database. Readmission predictors (odds ratios [95% confidence interval]) included dialysis (2.02 [1.87-2.19]), severe chronic lung disease (1.58 [1.49-1.68]), creatinine (2.5 versus 1.0 or lower:1.49 [1.41-1.57]; 2.0 versus 1.0 or lower: 1.37 [1.32-1.43]), insulin-dependent diabetes mellitus (1.45 [1.39-1.51]), obesity in women (body surface area 2.2 versus 1.8: 1.44 [1.35-1.53]), female sex (1.38 [1.33-1.43]), immunosuppression (1.38 [1.28-1.49]), preoperative atrial fibrillation (1.36 [1.30-1.42]), age per 10-year increase (1.36 [1.33-1.39]), recent myocardial infarction (1.24 [1.08-1.42]), and low body surface area in men (1.22 [1.14-1.30]). C-statistic was 0.648. Fifty-two hospitals (6.1%) had readmission rates statistically better or worse than expected.

Conclusions: A coronary artery bypass grafting surgery readmission measure suitable for public reporting was developed by using the national Society of Thoracic Surgeons clinical data linked to Medicare readmission claims.

Download full-text PDF

Source
http://dx.doi.org/10.1161/CIRCULATIONAHA.113.007541DOI Listing

Publication Analysis

Top Keywords

coronary artery
16
artery bypass
16
bypass grafting
16
society thoracic
16
thoracic surgeons
16
grafting surgery
12
readmission rates
12
readmission
10
readmission measure
8
readmission risk
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!