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Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians

BACKGROUND: Disparities in US physician burnout rates across age, gender, and specialty groups as measured by the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI) are well documented. We evaluated whether disparities in US physician burnout are explained by differences in...

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Autores principales: Brady, Keri J. S., Sheldrick, R. Christopher, Ni, Pengsheng, Trockel, Mickey T., Shanafelt, Tait D., Rowe, Susannah G., Kazis, Lewis E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179856/
https://www.ncbi.nlm.nih.gov/pubmed/34089412
http://dx.doi.org/10.1186/s41687-021-00312-2
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author Brady, Keri J. S.
Sheldrick, R. Christopher
Ni, Pengsheng
Trockel, Mickey T.
Shanafelt, Tait D.
Rowe, Susannah G.
Kazis, Lewis E.
author_facet Brady, Keri J. S.
Sheldrick, R. Christopher
Ni, Pengsheng
Trockel, Mickey T.
Shanafelt, Tait D.
Rowe, Susannah G.
Kazis, Lewis E.
author_sort Brady, Keri J. S.
collection PubMed
description BACKGROUND: Disparities in US physician burnout rates across age, gender, and specialty groups as measured by the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI) are well documented. We evaluated whether disparities in US physician burnout are explained by differences in the MBI’s functioning across physician age, gender, and specialty groups. METHODS: We assessed the measurement equivalence of the MBI across age, gender, and specialty groups in multi-group item response theory- (IRT-) based differential item functioning (DIF) analyses using secondary, cross-sectional survey data from US physicians (n = 6577). We detected DIF using two IRT-based methods and assessed its impact by estimating the overall average difference in groups’ subscale scores attributable to DIF. We assessed DIF’s practical significance by comparing differences in individuals’ subscale scores and burnout prevalence estimates from models unadjusted and adjusted for DIF. RESULTS: We detected statistically significant age-, gender-, and specialty- DIF in all but one MBI item. However, in all cases, average differences in expected subscale-level scores due to DIF were < 0.10 SD on each subscale. Differences in physicians’ individual-level subscale scores and burnout symptom prevalence estimates across DIF- adjusted and unadjusted IRT models were also small (in all cases, mean absolute differences in individual subscale scores were < 0.04 z-score units; prevalence estimates differed by < 0.70%). CONCLUSIONS: Age-, gender-, and specialty-related disparities in US physician burnout are not explained by differences in the MBI’s functioning across these demographic groups. Our findings support the use of the MBI as a valid tool to assess age-, gender-, and specialty-related disparities in US physician burnout. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41687-021-00312-2.
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spelling pubmed-81798562021-06-07 Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians Brady, Keri J. S. Sheldrick, R. Christopher Ni, Pengsheng Trockel, Mickey T. Shanafelt, Tait D. Rowe, Susannah G. Kazis, Lewis E. J Patient Rep Outcomes Research BACKGROUND: Disparities in US physician burnout rates across age, gender, and specialty groups as measured by the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI) are well documented. We evaluated whether disparities in US physician burnout are explained by differences in the MBI’s functioning across physician age, gender, and specialty groups. METHODS: We assessed the measurement equivalence of the MBI across age, gender, and specialty groups in multi-group item response theory- (IRT-) based differential item functioning (DIF) analyses using secondary, cross-sectional survey data from US physicians (n = 6577). We detected DIF using two IRT-based methods and assessed its impact by estimating the overall average difference in groups’ subscale scores attributable to DIF. We assessed DIF’s practical significance by comparing differences in individuals’ subscale scores and burnout prevalence estimates from models unadjusted and adjusted for DIF. RESULTS: We detected statistically significant age-, gender-, and specialty- DIF in all but one MBI item. However, in all cases, average differences in expected subscale-level scores due to DIF were < 0.10 SD on each subscale. Differences in physicians’ individual-level subscale scores and burnout symptom prevalence estimates across DIF- adjusted and unadjusted IRT models were also small (in all cases, mean absolute differences in individual subscale scores were < 0.04 z-score units; prevalence estimates differed by < 0.70%). CONCLUSIONS: Age-, gender-, and specialty-related disparities in US physician burnout are not explained by differences in the MBI’s functioning across these demographic groups. Our findings support the use of the MBI as a valid tool to assess age-, gender-, and specialty-related disparities in US physician burnout. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41687-021-00312-2. Springer International Publishing 2021-06-05 /pmc/articles/PMC8179856/ /pubmed/34089412 http://dx.doi.org/10.1186/s41687-021-00312-2 Text en © The Author(s) 2021 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/) .
spellingShingle Research
Brady, Keri J. S.
Sheldrick, R. Christopher
Ni, Pengsheng
Trockel, Mickey T.
Shanafelt, Tait D.
Rowe, Susannah G.
Kazis, Lewis E.
Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians
title Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians
title_full Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians
title_fullStr Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians
title_full_unstemmed Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians
title_short Examining the measurement equivalence of the Maslach Burnout Inventory across age, gender, and specialty groups in US physicians
title_sort examining the measurement equivalence of the maslach burnout inventory across age, gender, and specialty groups in us physicians
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179856/
https://www.ncbi.nlm.nih.gov/pubmed/34089412
http://dx.doi.org/10.1186/s41687-021-00312-2
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