Data were analysed using Stata v14 (StataCorp. 2015. Stata Statistical Software: Release 14. College Station. TX: StataCorp LP). Reliability of each psychometric instrument (SAQ, OLBI, HADS) were assessed using Cronbach’s alpha. A complete case analysis approach was used. For each questionnaire, the values of each question were correlated with the individual’s total score. Alpha scores >0.70 were deemed as acceptable reliability. Statistical significance was set at 2-sided p < 0.05 using the Wald test The primary outcome measure was burnout, secondary outcome measures were anxiety and depression. Explanatory variables for burnout included SAQ scores, demographic questions, and HADS outcomes. Explanatory variables were assessed against the 75th percentile of OLBI scores using logistic regression. Variables found to be significant on univariate analysis were included in the multivariate analysis as well as forced variables that were deemed important to control for (country, role, and redeployment status). The “svy” command was used in the STATA setup for logistic regression.

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