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Identifying Operational and Clinical Predictors of Successful Critical Air Transport Revalidation
Daniel J Brown1, Allyson A Araña2, Richard J Strilka3
1Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH 45267, United States.
Introduction:
The United States Air Force Critical Care Air Transport (CCAT) provides en route critical care for patients with multisystem trauma, complex medical conditions, and biocontainment needs in austere aircraft environments. Training and validation of CCAT personnel occurs at the CCAT Advanced course, conducted at the Center for Sustainment of Trauma and Readiness Skills (C-STARS). Prior work has shown that CCAT clinicians with previous deployment experience demonstrate improved validation success, while clinicians returning for training without operational experience are no more likely to pass than students taking the course for the first time. However, the minimal thresholds for mission experience, recency of deployment, and clinical practice that predict successful revalidation remain undefined. This study seeks to determine whether quantifiable clinical or operational experience predicts CCAT revalidation success.
Materials And Methods:
We conducted a retrospective cohort study linking CCAT Advanced course records with CCAT mission data from 2007 to 2020. First-time validations and courses without prior operational missions were excluded. The final dataset included 521 revalidation attempts by 334 unique clinicians (117 physicians, 120 registered nurses, 97 respiratory therapists). Course outcomes (validation versus non-validation) were correlated with mission volume, days since last mission, clinical practice characteristics, and hospital resources. Generalized estimating equations and multivariable logistic regression were used to account for repeated course attempts per individual and to identify predictors of successful revalidation. This study was reviewed and approved by the 59th Medical Wing Human Research Protections Program.
Results:
Of 521 revalidation course completions, 490 (94%) resulted in successful validation. Non-validation was more frequent among respiratory therapists (61% of failures vs. 35% of passes, P = .011) and clinicians practicing at hospitals without ICU beds (13% of failures vs. 3% of passes, P = .034). Daily engagement in critical care practice was the strongest predictor of success, associated with 3-fold higher odds of validation (OR: 3.31, 95% CI: 1.26-8.70). Mission recency also predicted outcomes: clinicians with a mission within the preceding 540 days were more than twice as likely to validate (OR: 2.44, 95% CI: 1.04-5.71) versus clinicians with no missions within 540 days of the course start. Neither total number of missions flown nor frequency of prior course attendance was associated with validation status.
Conclusion:
Operational mission count alone does not predict CCAT revalidation success. Instead, sustained engagement in high-acuity critical care practice and recency of operational experience are key determinants of readiness. These findings suggest that current models relying on mission totals and periodic course repetition may inadequately capture provider competence. Force development strategies should prioritize access to daily critical care environments and consider tracking clinical exposure and sustainment training metrics between deployments as a more accurate readiness metric. Future research should further define role-specific requirements, particularly for respiratory therapists, and explore optimal integration of clinical practice, operational missions, and simulation-based training.
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