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Burnout and clinical learning environment among residents in Tehran: A cross-sectional study

PURPOSE: This study aimed to evaluate the quality of the educational environment in Tehran University of Medical Sciences across different medical specialties and its correlation with residents’ burnout. MATERIALS AND METHODS: This cross-sectional study was conducted at Tehran University of Medical...

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Autores principales: Maghbouli, Nastaran, Fatehi, Farzad, Mafinejad, Mahboobeh Khabaz, Pourhassan, Saeed, Sohrabpour, Amir Ali, Ali, Jemal Haidar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215171/
https://www.ncbi.nlm.nih.gov/pubmed/34189297
http://dx.doi.org/10.1016/j.heliyon.2021.e07238
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author Maghbouli, Nastaran
Fatehi, Farzad
Mafinejad, Mahboobeh Khabaz
Pourhassan, Saeed
Sohrabpour, Amir Ali
Ali, Jemal Haidar
author_facet Maghbouli, Nastaran
Fatehi, Farzad
Mafinejad, Mahboobeh Khabaz
Pourhassan, Saeed
Sohrabpour, Amir Ali
Ali, Jemal Haidar
author_sort Maghbouli, Nastaran
collection PubMed
description PURPOSE: This study aimed to evaluate the quality of the educational environment in Tehran University of Medical Sciences across different medical specialties and its correlation with residents’ burnout. MATERIALS AND METHODS: This cross-sectional study was conducted at Tehran University of Medical Sciences among residents drawn from three largest teaching hospitals affiliated. The Maslach Burnout Inventory and Postgraduate Hospital Educational Environment Measure (PHEEM) questionnaire were used to collect data through web-based, as well as paper-and pencil questionnaires. The data was analyzed using SPSS. RESULTS: A total of 221 residents completed the survey, with a response rate of 82%. Burnout was reported by 67.4% of medical residents. The total PHEEM score had a negative correlation with emotional exhaustion (r = - 0.57, P < 0.001), depersonalization (r = - 0.40, P < 0.001), and a positive one with personal accomplishment (r = 0.42, P < 0.001). Perception of social support significantly predicted burnout subscales (P < 0.05). PHEEM subscales also explained a small proportion of variance in emotional exhaustion (R = 0.55, R(2) = 0.308, P < .001). Clinical learning environment independent of personal characteristics was associated with residents' burnout according to multivariate regression analysis [OR = 0.567 (0.170–0.883), P = 0.012]. CONCLUSION: Clinical learning environment independent of personal characteristics was associated with residents' burnout in Iran. We suggest some initiatives to be introduced ranging from improving the clinical environments, reduce workloads and provide social support to all residents as well as encouraging them to involve in other extracurricular activities like music and physical exercise.
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spelling pubmed-82151712021-06-28 Burnout and clinical learning environment among residents in Tehran: A cross-sectional study Maghbouli, Nastaran Fatehi, Farzad Mafinejad, Mahboobeh Khabaz Pourhassan, Saeed Sohrabpour, Amir Ali Ali, Jemal Haidar Heliyon Research Article PURPOSE: This study aimed to evaluate the quality of the educational environment in Tehran University of Medical Sciences across different medical specialties and its correlation with residents’ burnout. MATERIALS AND METHODS: This cross-sectional study was conducted at Tehran University of Medical Sciences among residents drawn from three largest teaching hospitals affiliated. The Maslach Burnout Inventory and Postgraduate Hospital Educational Environment Measure (PHEEM) questionnaire were used to collect data through web-based, as well as paper-and pencil questionnaires. The data was analyzed using SPSS. RESULTS: A total of 221 residents completed the survey, with a response rate of 82%. Burnout was reported by 67.4% of medical residents. The total PHEEM score had a negative correlation with emotional exhaustion (r = - 0.57, P < 0.001), depersonalization (r = - 0.40, P < 0.001), and a positive one with personal accomplishment (r = 0.42, P < 0.001). Perception of social support significantly predicted burnout subscales (P < 0.05). PHEEM subscales also explained a small proportion of variance in emotional exhaustion (R = 0.55, R(2) = 0.308, P < .001). Clinical learning environment independent of personal characteristics was associated with residents' burnout according to multivariate regression analysis [OR = 0.567 (0.170–0.883), P = 0.012]. CONCLUSION: Clinical learning environment independent of personal characteristics was associated with residents' burnout in Iran. We suggest some initiatives to be introduced ranging from improving the clinical environments, reduce workloads and provide social support to all residents as well as encouraging them to involve in other extracurricular activities like music and physical exercise. Elsevier 2021-06-08 /pmc/articles/PMC8215171/ /pubmed/34189297 http://dx.doi.org/10.1016/j.heliyon.2021.e07238 Text en © 2021 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Maghbouli, Nastaran
Fatehi, Farzad
Mafinejad, Mahboobeh Khabaz
Pourhassan, Saeed
Sohrabpour, Amir Ali
Ali, Jemal Haidar
Burnout and clinical learning environment among residents in Tehran: A cross-sectional study
title Burnout and clinical learning environment among residents in Tehran: A cross-sectional study
title_full Burnout and clinical learning environment among residents in Tehran: A cross-sectional study
title_fullStr Burnout and clinical learning environment among residents in Tehran: A cross-sectional study
title_full_unstemmed Burnout and clinical learning environment among residents in Tehran: A cross-sectional study
title_short Burnout and clinical learning environment among residents in Tehran: A cross-sectional study
title_sort burnout and clinical learning environment among residents in tehran: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215171/
https://www.ncbi.nlm.nih.gov/pubmed/34189297
http://dx.doi.org/10.1016/j.heliyon.2021.e07238
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