• Faiz Gani, Yuhree Kim, Matthew J Weiss, Martin A Makary, Christopher L Wolfgang, Kenzo Hirose, John L Cameron, Jack O Wasey, Steven M Frank, and Timothy M Pawlik.
• Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
• J. Surg. Res. 2016 Feb 1; 200 (2): 427-34.

BackgroundLittle is known regarding the effects of caseload volume of other relevant members of the "surgical team." The present study sought to report variations in health care utilization and outcomes relative to surgeon and anesthesiologist volume among patients undergoing pancreatic surgery.MethodsA total of 969 patients undergoing pancreatic surgery from 2011-2013 were identified at a large, tertiary care center. Multivariable regression analyses explored the effects of provider volume on crystalloid administration, blood transfusions, mortality, length of stay, and hospital charges.ResultsA total of 11 surgeons were identified while 100 anesthesiologists were involved in providing care to all patients. Annual case volume for surgeons ranged from 5-101 pancreatic resections per year; each anesthesiologist was involved in a fewer number of cases per year with a maximum of 15 patients treated by the same anesthesiologist. Higher volume surgeons had higher transfusions (odds ratio [OR], 1.85; 95% confidence interval [CI], 1.38-2.47; P < 0.001), greater crystalloid administration (OR, 1.62; 95% CI, 1.24-2.12; P < 0.001), and longer length of stay (OR, 1.74; 95% CI, 1.20-2.53; P = 0.003). In contrast, 30-d readmission was lower among higher volume surgeons (low volume versus high volume; 23.1% versus 11.6%; P < 0.001). Variations in patient-related outcomes were not associated with anesthesia provider volume (all P > 0.05). Similarly, total hospital charges and mortality were not associated with provider volumes (both P > 0.05).ConclusionsAlthough variability exists in health care practices among providers at the surgeon level, less is observed among anesthesiologists. Although a proportion of this variability can be explained by provider volumes, a significant proportion remains unexplained possibly due to nonmodifiable factors such as patient case mix.Copyright © 2016 Elsevier Inc. All rights reserved.

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