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Published on: March 27, 2018
Hospital variation in readmission after coronary artery bypass surgery in California
Zhongmin Li1, Ehrin J Armstrong, Ehrin J Amstrong
1University of California-Davis Medical Center, Sacramento, CA 95817, USA. zhongmin.li@ucdmc.ucdavis.edu
Insights
Readmissions after coronary artery bypass grafting (CABG) surgery are common. Patient factors, not hospital characteristics, explain most of the wide variation in 30-day readmission rates among California hospitals.
Area of Science:
- Cardiovascular Surgery
- Health Services Research
- Healthcare Quality
Background:
- Readmissions after coronary artery bypass grafting (CABG) are frequent and costly.
- Significant variation exists in hospital readmission rates, but the drivers are unknown.
Purpose of the Study:
- To investigate patient and hospital factors associated with 30-day readmissions after CABG.
- To explore the sources of variation in readmission rates across hospitals.
Main Methods:
- Linked registry and discharge data for 11,823 isolated CABG patients in California (2009-2010).
- Used logistic regression models to identify predictors of 30-day readmission.
- Analyzed hospital-level variation in readmission rates.
Main Results:
- 13.2% of patients were readmitted within 30 days; heart failure and infections were primary reasons.
- Patient factors (age, sex, income) predicted readmission risk.
- Hospital readmission rates varied widely (0% to 26.9%), but hospital characteristics did not predict this variation.
Conclusions:
- Wide variation in 30-day CABG readmission rates exists among California hospitals.
- Patient demographic and clinical factors, not measured hospital characteristics, explain most of the observed hospital-level variation.
Background:
Readmissions are common after coronary artery bypass grafting (CABG) surgery and account for a significant percentage of hospital healthcare costs. Readmission rates also vary widely between hospitals, but the reasons for this variation have not been studied previously.
Methods And Results:
We linked 2009 California CABG clinical registry data to hospital discharge data for 2009 and 2010 to identify 30-day readmissions for all patients undergoing isolated CABG surgery. Both standard and hierarchical logistic models were developed to predict readmission risk and explore sources of hospital readmission variation. Among 11 823 patients discharged alive after isolated CABG in 2009, 1565 (13.2%) patients were readmitted within 30 days of surgery. Heart failure and postoperative infections were the most frequent reasons for readmission (15.3% and 12.9%, respectively). Multiple patient risk factors, including age, sex, and lower zip code-level median household income, were significant predictors of readmission (all adjusted odds ratios >1.0; P<0.05). The readmission rates among the 119 hospitals performing CABG varied from 0% to 26.9%. Compared with hospitals in lower quartiles for readmission, hospitals in higher quartiles had a significantly higher readmission rates due to circulatory diseases, infections, complications for surgical and medical care and digestive diseases (all P<0.05). In a hierarchical model, including several hospital characteristics, hospital-level variables did not predict readmission risk (all P>0.05, with an intraclass correlation of 0.004 for hospitals).
Conclusions:
California hospitals performing CABG surgery vary widely in 30-day readmission rates. Patient demographic and clinical risk factors, rather than measured hospital characteristics, accounted for most of the observed hospital-level variation in CABG readmissions.
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