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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
Published on: May 20, 2018
Emergency general surgery: Impact of hospital and surgeon admission case volume on mortality
Jared M Wohlgemut1, George Ramsay, Mohamed Bekheit
1From the Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition (J.M.W.), University of Aberdeen, Aberdeen; Department of General Surgery (J.M.W.), Queen Elizabeth University Hospital, Glasgow; Centre for Trauma Sciences, Blizard Institute (J.M.W.), Queen Mary University of London, Whitechapel, London; General Surgical Department (G.R., M.B.), Aberdeen Royal Infirmary; Rowett Institute for Health (G.R.), University of Aberdeen, Aberdeen, United Kingdom; Department of Surgery (M.B.), Elkabbary Hospital, Alexandria, Egypt; Medical Statistics Team (N.W.S.), University of Aberdeen, Aberdeen; Raigmore Hospital (A.J.M.W.), Inverness, United Kingdom; and Division of Acute Care Surgery (J.O.J.), Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama.
Background:
Emergency general surgery (EGS) is a high-volume and high-risk surgical service. Interhospital variation in EGS outcomes exists, but there is disagreement in the literature as to whether hospital admission volume affects in-hospital mortality. Scotland collects high-quality data on all admitted patients, whether managed operatively or nonoperatively. Our aim was to determine the relationship between hospital admission volume and in-hospital mortality of EGS patients in Scotland. Second, to investigate whether surgeon admission volume affects mortality.
Methods:
This national population-level cohort study included EGS patients aged 16 years and older, who were admitted to a Scottish hospital between 2014 and 2018 (inclusive). A logistic regression model was created, with in-hospital mortality as the dependent variable, and admission volume of hospital per year as a continuous covariate of interest, adjusted for age, sex, comorbidity, deprivation, surgeon admission volume, surgeon operative rate, transfer status, diagnosis, and operation category.
Results:
There were 376,076 admissions to 25 hospitals, which met our inclusion criteria. The EGS hospital admission rate per year had no effect on in-hospital mortality (odds ratio [OR], 1.000; 95% confidence interval [CI], 1.000-1.000). Higher average surgeon monthly admission volume increased the odds of in-hospital mortality (>35 admissions: OR, 1.139; 95% CI, 1.038-1.250; 25-35 admissions: OR, 1.091; 95% CI, 1.004-1.185; <25 admissions was the referent).
Conclusion:
In Scotland, in contrast to other settings, EGS hospital admission volume did not influence in-hospital mortality. The finding of an association between individual surgeons' case volume and in-hospital mortality warrants further investigation.
Level Of Evidence:
Care management, Level IV.
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