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Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses

AIM: This study aims to develop a reliable and validate Chinese version of Oldenburg Burnout Inventory (OLBI). DESIGN: A cross‐sectional validation design was adopted in this study. METHODS: After obtaining the copyright by contacting with the author, the original English OLBI was developed to Chine...

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Detalles Bibliográficos
Autores principales: Xu, Huiwen, Yuan, Yuan, Gong, Weijuan, Zhang, Jingyi, Liu, Xinyi, Zhu, Pingting, Takashi, En, Kitayama, Akio, Wan, Xiaojuan, Jiao, Jianhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685855/
https://www.ncbi.nlm.nih.gov/pubmed/34546665
http://dx.doi.org/10.1002/nop2.1065
Descripción
Sumario:AIM: This study aims to develop a reliable and validate Chinese version of Oldenburg Burnout Inventory (OLBI). DESIGN: A cross‐sectional validation design was adopted in this study. METHODS: After obtaining the copyright by contacting with the author, the original English OLBI was developed to Chinese by forward translation, back‐translation, cultural adaptation and a pre‐test (20 nurses). The Chinese OLBI and Maslach Burnout Inventory (MBI) were administered to 641 clinical nurses during July and August, 2020. Internal consistency (Cronbach's α coefficient), split reliability (split half coefficient), construct validity (confirmatory factor analysis) and criterion validity (comparison with MBI, using Pearson correlation analysis) were assessed. RESULTS: The Chinese OLBI included 16 items. Exploratory factor analysis extracted two factors with a cumulative contribution of 62.245%. Two‐dimensional structure (exhaustion and disengagement) was confirmed. It has good internal consistency (Cronbach's α coefficient values of 0.905, 0.933 and 0.876 for the total questionnaire, exhaustion dimension and disengagement dimension, respectively), split half reliability (split half coefficient = 0.883, p < .01) and criterion validity (r = 0.873, p < .01). Pearson coefficients between 16 items and the scale varied from 0.479–0.765. An acceptable model fit (χ(2)/df = 2.49, RMSEA = 0.068, TLI = 0.906, CFI = 0.922, SRMR = 0.061) was achieved.