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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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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
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author Xu, Huiwen
Yuan, Yuan
Gong, Weijuan
Zhang, Jingyi
Liu, Xinyi
Zhu, Pingting
Takashi, En
Kitayama, Akio
Wan, Xiaojuan
Jiao, Jianhui
author_facet Xu, Huiwen
Yuan, Yuan
Gong, Weijuan
Zhang, Jingyi
Liu, Xinyi
Zhu, Pingting
Takashi, En
Kitayama, Akio
Wan, Xiaojuan
Jiao, Jianhui
author_sort Xu, Huiwen
collection PubMed
description 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.
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spelling pubmed-86858552021-12-30 Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses Xu, Huiwen Yuan, Yuan Gong, Weijuan Zhang, Jingyi Liu, Xinyi Zhu, Pingting Takashi, En Kitayama, Akio Wan, Xiaojuan Jiao, Jianhui Nurs Open Research Articles 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. John Wiley and Sons Inc. 2021-09-21 /pmc/articles/PMC8685855/ /pubmed/34546665 http://dx.doi.org/10.1002/nop2.1065 Text en © 2021 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Xu, Huiwen
Yuan, Yuan
Gong, Weijuan
Zhang, Jingyi
Liu, Xinyi
Zhu, Pingting
Takashi, En
Kitayama, Akio
Wan, Xiaojuan
Jiao, Jianhui
Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
title Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
title_full Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
title_fullStr Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
title_full_unstemmed Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
title_short Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
title_sort reliability and validity of the chinese version of oldenburg burnout inventory for chinese nurses
topic Research Articles
url 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
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