Aircrew Availability: Modeling Predictors of Duties Not Including Flying Status
Abstract
Aerospace medicine practitioners track the epidemiology of conditions that limit aircrew availability and work toward prevention of these conditions. These prevention efforts should focus on those conditions that are the primary driver of aircrew non-availability. The purpose of this study was to reuse available datasets to conduct an analysis of potential predictors of U.S. Air Force aircrew non-availability in terms of being in duties not to include flying (DNIF) status. This study was a retrospective cohort analysis of U.S. Air Force aircrew on active duty during the period from 2003-2012. Predictor variables included age, Air Force Specialty Code (AFSC), clinic location, diagnosis, gender, and pay grade. The response variable was DNIF duration. Nonparametric methods were used for the exploratory analysis and parametric methods were used for model building and statistical inference. Significant associations were observed between age, AFSC, clinic, and primary diagnosis category and expected DNIF duration. While controlling for specific diagnoses, increasing age was positively associated with expected DNIF duration. Six AFSCs were associated with an increased expected DNIF duration; however, these AFSCs were not significant drivers of DNIF duration based on the Pareto analysis.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 25, 2017
- Accession Number
- AD1037848
Entities
People
- Anthony P. Tvaryanas
- Converse Jr Griffith
Organizations
- United States Air Force School of Aerospace Medicine