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Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services
OBJECTIVE: to confirm the factorial validity of the Maslach Burnout Inventory – Human Services Survey version in a sample of health professionals from the emergency services. METHOD: a quantitative, exploratory, descriptive and analytical study. Two hundred and eighty-two health professionals partic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798392/ https://www.ncbi.nlm.nih.gov/pubmed/33439946 http://dx.doi.org/10.1590/1518-8345.3320.3386 |
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author | Pereira, Sandra de Souza Fornés-Vives, Joana Unda-Rojas, Sara Guadalupe Pereira-Junior, Gerson Alves Juruena, Mario Francisco Cardoso, Lucilene |
author_facet | Pereira, Sandra de Souza Fornés-Vives, Joana Unda-Rojas, Sara Guadalupe Pereira-Junior, Gerson Alves Juruena, Mario Francisco Cardoso, Lucilene |
author_sort | Pereira, Sandra de Souza |
collection | PubMed |
description | OBJECTIVE: to confirm the factorial validity of the Maslach Burnout Inventory – Human Services Survey version in a sample of health professionals from the emergency services. METHOD: a quantitative, exploratory, descriptive and analytical study. Two hundred and eighty-two health professionals participated in the study. For data collection, a sociodemographic questionnaire and the Maslach Burnout Inventory were used. The psychometric sensitivity for the MBI-HSS items was estimated by measures of central tendency, variability and the distribution shape. Internal consistency was estimated using Cronbach’s alpha coefficient and the adequacy of the sample was verified using the Kaiser-Meyer-Olkin (KMO) index. As indexes for assessing the quality of fit of the model, the chi-square ratio by the degrees of freedom (χ(2)/DoF), the comparative fit index (CFI), the goodness of fit index (GFI), the Tucker Lewis index (TLI) and the root mean square error of approximation (RMSEA) were considered. To test data fit, the maximum likelihood method was used. RESULTS: the three-factor structure of the Maslach Burnout Inventory was confirmed. Items 9, 12, 15 and 16 had a factorial weight below what was considered appropriate and were removed from the model. The second order hierarchical model with the aforementioned modifications presented an adequate adjustment to the data and can be considered the best and most parsimonious model tested according to the information theory indexes. The internal consistency of the instrument’s factors was recalculated considering the exclusion of the items and the three factors were considered adequate. CONCLUSION: the results obtained show that the Maslach Burnout Inventory is a reliable and factorially valid instrument for measuring the burnout syndrome in emergency service professionals in Brazil. |
format | Online Article Text |
id | pubmed-7798392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-77983922021-01-15 Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services Pereira, Sandra de Souza Fornés-Vives, Joana Unda-Rojas, Sara Guadalupe Pereira-Junior, Gerson Alves Juruena, Mario Francisco Cardoso, Lucilene Rev Lat Am Enfermagem Original Article OBJECTIVE: to confirm the factorial validity of the Maslach Burnout Inventory – Human Services Survey version in a sample of health professionals from the emergency services. METHOD: a quantitative, exploratory, descriptive and analytical study. Two hundred and eighty-two health professionals participated in the study. For data collection, a sociodemographic questionnaire and the Maslach Burnout Inventory were used. The psychometric sensitivity for the MBI-HSS items was estimated by measures of central tendency, variability and the distribution shape. Internal consistency was estimated using Cronbach’s alpha coefficient and the adequacy of the sample was verified using the Kaiser-Meyer-Olkin (KMO) index. As indexes for assessing the quality of fit of the model, the chi-square ratio by the degrees of freedom (χ(2)/DoF), the comparative fit index (CFI), the goodness of fit index (GFI), the Tucker Lewis index (TLI) and the root mean square error of approximation (RMSEA) were considered. To test data fit, the maximum likelihood method was used. RESULTS: the three-factor structure of the Maslach Burnout Inventory was confirmed. Items 9, 12, 15 and 16 had a factorial weight below what was considered appropriate and were removed from the model. The second order hierarchical model with the aforementioned modifications presented an adequate adjustment to the data and can be considered the best and most parsimonious model tested according to the information theory indexes. The internal consistency of the instrument’s factors was recalculated considering the exclusion of the items and the three factors were considered adequate. CONCLUSION: the results obtained show that the Maslach Burnout Inventory is a reliable and factorially valid instrument for measuring the burnout syndrome in emergency service professionals in Brazil. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2021-01-08 /pmc/articles/PMC7798392/ /pubmed/33439946 http://dx.doi.org/10.1590/1518-8345.3320.3386 Text en Copyright © 2020 Revista Latino-Americana de Enfermagem https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Pereira, Sandra de Souza Fornés-Vives, Joana Unda-Rojas, Sara Guadalupe Pereira-Junior, Gerson Alves Juruena, Mario Francisco Cardoso, Lucilene Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services |
title | Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services
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title_full | Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services
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title_fullStr | Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services
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title_full_unstemmed | Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services
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title_short | Confirmatory factorial analysis of the Maslach Burnout Inventory – Human Services Survey in health professionals in emergency services
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title_sort | confirmatory factorial analysis of the maslach burnout inventory – human services survey in health professionals in emergency services |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798392/ https://www.ncbi.nlm.nih.gov/pubmed/33439946 http://dx.doi.org/10.1590/1518-8345.3320.3386 |
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