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Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study
BACKGROUND: The Maslach Burnout Inventory (MBI) is an instrument commonly used to evaluate burnout syndrome. The goal of the present study was to assess the internal reliability and the performance of the items and the subscales of the MBI-HSS (the version for professionals working in human services...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373484/ https://www.ncbi.nlm.nih.gov/pubmed/35962362 http://dx.doi.org/10.1186/s12909-022-03666-3 |
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author | Forné, Carles Yuguero, Oriol |
author_facet | Forné, Carles Yuguero, Oriol |
author_sort | Forné, Carles |
collection | PubMed |
description | BACKGROUND: The Maslach Burnout Inventory (MBI) is an instrument commonly used to evaluate burnout syndrome. The goal of the present study was to assess the internal reliability and the performance of the items and the subscales of the MBI-HSS (the version for professionals working in human services) by validating its factorial structure in Spanish urgency healthcare personnel. METHODS: Cross-sectional study including 259 healthcare emergency professionals (physicians and nurses) in the Spanish health region of Lleida and the Pyrenees. Burnout was measured using the Spanish validated version of the MBI-HSS. Internal reliability was estimated using Cronbach’s alpha coefficient. The sampling adequacy was assessed using the Kaiser-Meyer-Olkin measure along with the Bartlett’s test of sphericity. A principal axis exploratory factor analysis with an oblique transformation of the solution and a confirmatory factor analysis with maximum likelihood estimation were performed. Goodness-of-fit was assessed by means of the chi-square ratio by the degrees of freedom, the standardized root mean square residual (SRMR), the root mean square error of approximation (RMSEA), the Tucker-Lewis Index (TLI) and the comparative fit index (CFI). RESULTS: The three subscales showed good internal reliability with Cronbach’s alpha coefficients exceeding the critical value of 0.7. Exploratory factor analysis revealed five factors with eigenvalues greater than 1. Nevertheless, confirmatory factor analysis showed a relatively satisfactory fit of the three-factor structure (χ(2)/df = 2.6, SRMR = 0.07, RMSEA = 0.08, TLI = 0.87, CFI = 0.89), which was improved when several items were removed (χ(2)/df = 1.7, SRMR = 0.04, RMSEA = 0.05, TLI = 0.97, CFI = 0.98). CONCLUSIONS: Although it is necessary exploring new samples to get to more consistent conclusions, the MBI-HSS is a reliable and factorially valid instrument to evaluate burnout syndrome in health professionals from the Spanish emergency services. |
format | Online Article Text |
id | pubmed-9373484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93734842022-08-13 Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study Forné, Carles Yuguero, Oriol BMC Med Educ Research BACKGROUND: The Maslach Burnout Inventory (MBI) is an instrument commonly used to evaluate burnout syndrome. The goal of the present study was to assess the internal reliability and the performance of the items and the subscales of the MBI-HSS (the version for professionals working in human services) by validating its factorial structure in Spanish urgency healthcare personnel. METHODS: Cross-sectional study including 259 healthcare emergency professionals (physicians and nurses) in the Spanish health region of Lleida and the Pyrenees. Burnout was measured using the Spanish validated version of the MBI-HSS. Internal reliability was estimated using Cronbach’s alpha coefficient. The sampling adequacy was assessed using the Kaiser-Meyer-Olkin measure along with the Bartlett’s test of sphericity. A principal axis exploratory factor analysis with an oblique transformation of the solution and a confirmatory factor analysis with maximum likelihood estimation were performed. Goodness-of-fit was assessed by means of the chi-square ratio by the degrees of freedom, the standardized root mean square residual (SRMR), the root mean square error of approximation (RMSEA), the Tucker-Lewis Index (TLI) and the comparative fit index (CFI). RESULTS: The three subscales showed good internal reliability with Cronbach’s alpha coefficients exceeding the critical value of 0.7. Exploratory factor analysis revealed five factors with eigenvalues greater than 1. Nevertheless, confirmatory factor analysis showed a relatively satisfactory fit of the three-factor structure (χ(2)/df = 2.6, SRMR = 0.07, RMSEA = 0.08, TLI = 0.87, CFI = 0.89), which was improved when several items were removed (χ(2)/df = 1.7, SRMR = 0.04, RMSEA = 0.05, TLI = 0.97, CFI = 0.98). CONCLUSIONS: Although it is necessary exploring new samples to get to more consistent conclusions, the MBI-HSS is a reliable and factorially valid instrument to evaluate burnout syndrome in health professionals from the Spanish emergency services. BioMed Central 2022-08-12 /pmc/articles/PMC9373484/ /pubmed/35962362 http://dx.doi.org/10.1186/s12909-022-03666-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Forné, Carles Yuguero, Oriol Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study |
title | Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study |
title_full | Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study |
title_fullStr | Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study |
title_full_unstemmed | Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study |
title_short | Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study |
title_sort | factor structure of the maslach burnout inventory human services survey in spanish urgency healthcare personnel: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373484/ https://www.ncbi.nlm.nih.gov/pubmed/35962362 http://dx.doi.org/10.1186/s12909-022-03666-3 |
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