Measuring the Psychometric Properties of the Arabic version of the Work-Related Burnout Assessment Tool Among Jordanian Nurses and Midwives

Abstract

Burnout among healthcare professionals, particularly nurses and midwives, is a significant public health concern impacting workforce sustainability, patient safety, and healthcare quality. Validating tools for assessing burnout in Arabic-speaking populations is crucial for targeted interventions. This study aimed to validate the Arabic version of the Burnout Assessment Tool (BAT) among Jordanian nurses and midwives to provide a reliable instrument for assessing burnout in Arabic-speaking healthcare settings. A cross-sectional design was used to collect data from 218 nurses and midwives in governmental and university hospitals. The BAT was translated into Arabic and validated through face validity, content validity ratio (CVR), exploratory factor analysis (EFA) with varimax rotation, and Cronbach’s alpha for reliability. The Arabic BAT demonstrated strong psychometric properties, with a KMO measure of 0.96, significant Bartlett's test (p < 0.001), and six factors explaining 67.977% of the variance. Cronbach's alpha was 0.95, indicating excellent internal consistency. High levels of core (2.92 ± 0.71) and secondary symptoms (3.11 ± 0.88) of burnout were reported. The Arabic BAT is a valid tool for assessing burnout in Arabic-speaking populations. These findings underscore the urgent need for targeted interventions and future research to address burnout and its public health implications.