Abstract

All military surgeons must maintain trauma capabilities for expeditionary care contexts, yet most are not trauma specialists. Maintaining clinical readiness for trauma and mass casualty care is a significant challenge for military and civilian surgeons. We examined the effect of a prescribed clinical readiness program for expeditionary trauma care on the surgical performance of 12 surgeons during a 60-patient MASCAL event. The sample included orthopaedic (4) and general surgeons (8) who cared for MASCAL victims at Hamad Karzai International Airport, Kabul, Afghanistan on 26 August 2021. One orthopaedic and two general surgeons had prior deployment experience. The prescribed program included three primary measures of clinical readiness: 1. expeditionary knowledge (exam score), 2. procedural skills competencies (performance assessment score), 3. clinical activity (operative practice profile metric). Data were attained from program records for each surgeon in the sample. Each of the 60 patient cases were reviewed and rated (performance score) by The Joint Trauma System's Performance Improvement Branch; a military-wide performance improvement organization. All scores were normalized to facilitate direct comparisons using effect size calculations between each pre-deployment measure and MASCAL surgical care. Pre-deployment knowledge and clinical activity measures met program benchmarks. Baseline pre-deployment procedural skills competency scores did not meet program benchmarks, however those gaps were closed through re-training, ensuring all surgeons met or exceeded the program benchmarks pre-deployment. There were very large effect sizes (Cohen's d) between all program measures and surgical care score, confirming the relationship between the program measures and MASCAL trauma care provided by the 12 surgeons. The prescribed program measures ensured all surgeons achieved pre-deployment performance benchmarks and provided high quality trauma care to our nation's servicemembers. Prognostic, Level III/IV.

Full Text
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