Cross-sectional study demonstrates strong psychometric properties of the Arabic PROMIS scale for sleep disturbance in nurses, indicating reliable measurement tools are available.
The PROMIS Sleep Disturbance Short Form 8b (PROMIS SD-SF-8b) is an 8-item self-report measure evaluating two dimensions of sleep disturbance: Insomnia symptoms and dissatisfaction with sleep. This study aims to validate the PROMIS SD-SF-8b for use among Arab nurses. A cross-sectional, descriptive, correlational design was employed. The instrument underwent a rigorous five-step cross-cultural adaptation process. Psychometric testing included descriptive statistics, internal consistency analysis, test-retest reliability, exploratory and confirmatory factor analyses (EFA, CFA), and evaluation of convergent and discriminant validity. The Ar-PROMIS SD-SF-8b demonstrated excellent internal consistency (Cronbach's alpha = 0.81; McDonald's omega = 0.82) and test-retest reliability (ICC = 0.90). EFA revealed a two-factor structure explaining 57.44% of the total variance. CFA supported the two-factor model (CFI = 0.96, RMSEA = 0.07, CMIN/df = 2.03). Composite reliability exceeded average variance extracted, indicating strong convergent validity. The AVE values surpassed the MSV values, further supporting the discriminant validity of the Ar-PROMIS SD-SF-8b. No significant floor or ceiling effects were observed, indirectly suggesting the instrument's robustness and sensitivity to detect variations in sleep disturbance among Arab nurses. The Ar-PROMIS SD-SF-8b is a valid and reliable instrument for assessing sleep disturbance among Arab nurses. By providing precise measurement of sleep-related impairments, this instrument can aid healthcare organizations and researchers in identifying nurses at risk and effectively monitoring sleep-related outcomes, thereby facilitating the implementation of targeted occupational health and well-being interventions. Its application may inform targeted interventions and broader evaluations in culturally comparable healthcare settings.
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Hasan Alelayan (2026) studied this question.
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