Reliability of Readmission Rates as a Hospital Quality Measure in Cardiac Surgery Terry Shih, MD, Justin B. Dimick, MD, MPH The Annals of Thoracic Surgery Volume 97, Issue 4, Pages 1214-1218 (April 2014) DOI: 10.1016/j.athoracsur.2013.11.048 Copyright © 2014 The Society of Thoracic Surgeons Terms and Conditions
Fig 1 Calibration plot of observed (vertical axis) vs expected (horizontal axis) readmissions within deciles of predicted risk for patient level logistic regression model of 30-day readmissions. The Annals of Thoracic Surgery 2014 97, 1214-1218DOI: (10.1016/j.athoracsur.2013.11.048) Copyright © 2014 The Society of Thoracic Surgeons Terms and Conditions
Fig 2 The proportions of hospital variation in risk-adjusted 30-day readmission rates after coronary artery bypass grafting attributable to “noise” or measurement error (dark blue), patient factors (medium blue), and hospital performance (light blue). The Annals of Thoracic Surgery 2014 97, 1214-1218DOI: (10.1016/j.athoracsur.2013.11.048) Copyright © 2014 The Society of Thoracic Surgeons Terms and Conditions
Fig 3 Relationship between reliability of readmission rates after coronary artery bypass grafting and hospital volume of coronary artery bypass grafting based on national Medicare beneficiaries for 2006 to 2008. Each black circle represents one hospital. The Annals of Thoracic Surgery 2014 97, 1214-1218DOI: (10.1016/j.athoracsur.2013.11.048) Copyright © 2014 The Society of Thoracic Surgeons Terms and Conditions