TY - JOUR
T1 - Feasibility of Report Cards for Measuring Anesthesiologist Quality for Cardiac Surgery
AU - Glance, Laurent G.
AU - Hannan, Edward L.
AU - Fleisher, Lee A.
AU - Eaton, Michael P.
AU - Dutton, Richard P.
AU - Lustik, Stewart J.
AU - Li, Yue
AU - Dick, Andrew W.
N1 - Publisher Copyright:
© 2016 International Anesthesia Research Society.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Background: In creating the Merit-Based Incentive Payment System, Congress has mandated pay-for-performance (P4P) for all physicians, including anesthesiologists. There are currently no National Quality Forum-endorsed risk-adjusted outcome metrics for anesthesiologists to use as the basis for P4P. Methods: Using clinical data from the New York State Cardiac Surgery Reporting System, we conducted a retrospective observational study of 55,436 patients undergoing cardiac surgery between 2009 and 2012. Hierarchical logistic regression modeling was used to examine the variation in in-hospital mortality or major complications (Q-wave myocardial infarction, renal failure, stroke, and respiratory failure) among anesthesiologists, controlling for patient demographics, severity of disease, comorbidities, and hospital quality. Results: Although the variation in performance among anesthesiologists was statistically significant (P = 0.025), none of the anesthesiologists in the sample was classified as a high-or low-performance outliers. The contribution of anesthesiologists to outcomes represented 0.51% of the overall variability in patient outcomes (intraclass correlation coefficient [ICC] = 0.0051; 95% confidence interval [CI], 0.002-0.014), whereas the contribution of hospitals to patient outcomes was 2.90% (ICC = 0.029; 95% CI, 0.017-0.050). The anesthesiologist median odds ratio (MOR) was 1.13 (95% CI, 1.08-1.24), suggesting that the variation between anesthesiologist was modest, whereas the hospital MOR was 1.35 (95% CI, 1.25-1.48). In a separate analysis, the contribution of surgeons to overall outcomes represented 1.76% of the overall variability in patient outcomes (ICC = 0.018, 95% CI, 0.010-0.031), and the surgeon MOR was 1.26 (95% CI, 1.19-1.37). Twelve of the surgeons were identified as performance outliers. Conclusions: The impact of anesthesiologists on the total variability in cardiac surgical outcomes was probably about one-fourth as large as the surgeons' contribution. None of the anesthesiologists caring for cardiac surgical patients in New York State over a 3+ year period were identified as performance outliers. The use of a performance metric based on death or major complications for P4P may not be feasible for cardiac anesthesiologists.
AB - Background: In creating the Merit-Based Incentive Payment System, Congress has mandated pay-for-performance (P4P) for all physicians, including anesthesiologists. There are currently no National Quality Forum-endorsed risk-adjusted outcome metrics for anesthesiologists to use as the basis for P4P. Methods: Using clinical data from the New York State Cardiac Surgery Reporting System, we conducted a retrospective observational study of 55,436 patients undergoing cardiac surgery between 2009 and 2012. Hierarchical logistic regression modeling was used to examine the variation in in-hospital mortality or major complications (Q-wave myocardial infarction, renal failure, stroke, and respiratory failure) among anesthesiologists, controlling for patient demographics, severity of disease, comorbidities, and hospital quality. Results: Although the variation in performance among anesthesiologists was statistically significant (P = 0.025), none of the anesthesiologists in the sample was classified as a high-or low-performance outliers. The contribution of anesthesiologists to outcomes represented 0.51% of the overall variability in patient outcomes (intraclass correlation coefficient [ICC] = 0.0051; 95% confidence interval [CI], 0.002-0.014), whereas the contribution of hospitals to patient outcomes was 2.90% (ICC = 0.029; 95% CI, 0.017-0.050). The anesthesiologist median odds ratio (MOR) was 1.13 (95% CI, 1.08-1.24), suggesting that the variation between anesthesiologist was modest, whereas the hospital MOR was 1.35 (95% CI, 1.25-1.48). In a separate analysis, the contribution of surgeons to overall outcomes represented 1.76% of the overall variability in patient outcomes (ICC = 0.018, 95% CI, 0.010-0.031), and the surgeon MOR was 1.26 (95% CI, 1.19-1.37). Twelve of the surgeons were identified as performance outliers. Conclusions: The impact of anesthesiologists on the total variability in cardiac surgical outcomes was probably about one-fourth as large as the surgeons' contribution. None of the anesthesiologists caring for cardiac surgical patients in New York State over a 3+ year period were identified as performance outliers. The use of a performance metric based on death or major complications for P4P may not be feasible for cardiac anesthesiologists.
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U2 - 10.1213/ANE.0000000000001252
DO - 10.1213/ANE.0000000000001252
M3 - Article
C2 - 27101502
AN - SCOPUS:84964515148
SN - 0003-2999
VL - 122
SP - 1603
EP - 1613
JO - Anesthesia and analgesia
JF - Anesthesia and analgesia
IS - 5
ER -