1. Quality-Cost Relationship in Congenital Heart Surgery
Sara K. Pasquali, MD, MHS, Jeffrey P. Jacobs, MD, Edward L. Bove, MD, J. William Gaynor, MD, Xia He, MS, Michael G. Gaies, MD, MPH, Jennifer C. Hirsch-Romano, MD, MS, John E. Mayer, MD, Eric D. Peterson, MD, MPH, Nelangi M. Pinto, MD, MS, Samir S. Shah, MD, MSCE, Matt Hall, PhD, Marshall L. Jacobs, MD 
The Annals of Thoracic Surgery 
Volume 100, Issue 4, Pages (October 2015)
DOI: /j.athoracsur
Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions

2. Fig 1
(A) Mortality across hospital cost tertiles: p < for low versus middle and low versus high cost tertiles, p = 0.46 for middle versus high cost tertile. (B) Stratified by STAT category: p < 0.03 for low versus middle and low versus high cost tertiles for both groups; p = 0.84 (STAT 1–3), and p = 0.44 (STAT 4–5) for middle versus high cost tertile. (STAT = The Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery.)
The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur )
Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions

3. Fig 2
Adjusted mortality and costs across individual hospitals. Each dot represents one of the 27 hospitals in the cohort. Dotted lines indicate tertile cutoffs for adjusted costs and adjusted mortality. Spearman correlation = 0.5 (p = 0.01).
The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur )
Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions