Validation of the Russian version of the Copenhagen Burnout Inventory among nurses in Kazakhstan and Kyrgyzstan

Seisembekov T. Brimkulov N. Taalaikanova A. Smailova G. Bolatov A.
March 2025 Chinese Nursing Association

International Journal of Nursing Sciences
2025 #12 Issue 2 176 - 183 pp.

Objectives: This study aimed to validate the Russian version of the Copenhagen Burnout Inventory (R-CBI) among nurses in Kazakhstan and Kyrgyzstan and explored factors contributing to burnout. Methods: The original Copenhagen Burnout Inventory (CBI) was translated into the R-CBI using a rigorous forward-backward method and reviewed by experts. Between July and November 2022, 1,530 nurses were recruited through convenience sampling method from various nursing settings in Kazakhstan and Kyrgyzstan to test the scales reliability and validity, including confirmatory factor analysis (CFA), internal consistency reliability, and concurrent validity. A linear regression analysis was conducted to identify influencing factors of burnout. Results: The content of the R-CBI is consistent with the original CBI, consisting of 19 items with three dimensions. The Cronbachs α coefficient is 0.926 in Kazakhstan and 0.922 in Kyrgyzstan, ranging from 0.830 to 0.898 for three dimensions. The CFA results among nurses in Kazakhstan and Kyrgyzstan supported the three-factor structure of R-CBI with good fit indices. Concurrent validity was established through significant correlations (P < 0.001) with job satisfaction questionnaire (r = −0.457), Depression Anxiety Stress Scales (r = 0.506 in depression, r = 0.485 in anxiety, r = 0.564 in stress), and WHO-5 Well-Being Index (r = −0.528). The overall burnout level was 36.1 ± 17.6 and 37.5 ± 17.4 in Kazakhstani and Kyrgyzstani nurses, respectively. Significant influencing factors of burnout included gender, age, educational level, and COVID-19 infection history. Conclusions: The R-CBI was proved to be a reliable and valid tool for assessing nurses’ burnout in Kazakhstan and Kyrgyzstan.

Burnout , Influencing factors , Nurse , Reliability , Scale , Validity

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School of Medicine, Astana Medical University, Astana, Kazakhstan
School of Medicine, I.K. Akhunbaev Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan
Shenzhen University Medical School, Shenzhen University, Shenzhen, China

School of Medicine
School of Medicine
Shenzhen University Medical School

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