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“Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach"
BACKGROUND: The main objective of this study was to describe the relationship between working conditions, sleep and psycho-affective variables and medical errors. METHODS: This was an observational, analytical and cross-sectional study in which 661 medical residents answered questionnaires about wor...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666331/ https://www.ncbi.nlm.nih.gov/pubmed/37996804 http://dx.doi.org/10.1186/s12889-023-17130-4 |
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author | Mul Fedele, Malena Lis López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez-Chada, Daniel Vigo, Daniel Eduardo |
author_facet | Mul Fedele, Malena Lis López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez-Chada, Daniel Vigo, Daniel Eduardo |
author_sort | Mul Fedele, Malena Lis |
collection | PubMed |
description | BACKGROUND: The main objective of this study was to describe the relationship between working conditions, sleep and psycho-affective variables and medical errors. METHODS: This was an observational, analytical and cross-sectional study in which 661 medical residents answered questionnaires about working conditions, sleep and psycho-affective variables. Actigraphic sleep parameters and peripheral temperature circadian rhythm were measured in a subgroup of 38 subjects. Bivariate and multivariate predictors of medical errors were assessed. RESULTS: Medical residents reported working 66.2 ± 21.9 weekly hours. The longest continuous shift was of 28.4 ± 10.9 h. They reported sleeping 6.1 ± 1.6 h per day, with a sleep debt of 94 ± 129 min in workdays. A high percentage of them reported symptoms related to psycho-affective disorders. The longest continuous shift duration (OR = 1.03 [95% CI, 1.00–1.05], p = 0.01), working more than six monthly on-call shifts (OR = 1.87 [95% CI, 1.16–3.02], p = 0.01) and sleeping less than six hours per working day (OR = 1.66 [95% CI, 1.10–2.51], p = 0.02) were independently associated with self-reported medical errors. The report of medical errors was associated with an increase in the percentage of diurnal sleep (2.2% [95% CI, 0.1–4.3] vs 14.5% [95% CI, 5.9–23.0]; p = 0.01) in the actigraphic recording. CONCLUSIONS: Medical residents have a high working hour load that affect their sleep opportunities, circadian rhythms and psycho-affective health, which are also related to the report of medical errors. These results highlight the importance of implementing multidimensional strategies to improve medical trainees’ sleep and wellbeing, increasing in turn their own and patients’ safety. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17130-4. |
format | Online Article Text |
id | pubmed-10666331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106663312023-11-23 “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" Mul Fedele, Malena Lis López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez-Chada, Daniel Vigo, Daniel Eduardo BMC Public Health Research BACKGROUND: The main objective of this study was to describe the relationship between working conditions, sleep and psycho-affective variables and medical errors. METHODS: This was an observational, analytical and cross-sectional study in which 661 medical residents answered questionnaires about working conditions, sleep and psycho-affective variables. Actigraphic sleep parameters and peripheral temperature circadian rhythm were measured in a subgroup of 38 subjects. Bivariate and multivariate predictors of medical errors were assessed. RESULTS: Medical residents reported working 66.2 ± 21.9 weekly hours. The longest continuous shift was of 28.4 ± 10.9 h. They reported sleeping 6.1 ± 1.6 h per day, with a sleep debt of 94 ± 129 min in workdays. A high percentage of them reported symptoms related to psycho-affective disorders. The longest continuous shift duration (OR = 1.03 [95% CI, 1.00–1.05], p = 0.01), working more than six monthly on-call shifts (OR = 1.87 [95% CI, 1.16–3.02], p = 0.01) and sleeping less than six hours per working day (OR = 1.66 [95% CI, 1.10–2.51], p = 0.02) were independently associated with self-reported medical errors. The report of medical errors was associated with an increase in the percentage of diurnal sleep (2.2% [95% CI, 0.1–4.3] vs 14.5% [95% CI, 5.9–23.0]; p = 0.01) in the actigraphic recording. CONCLUSIONS: Medical residents have a high working hour load that affect their sleep opportunities, circadian rhythms and psycho-affective health, which are also related to the report of medical errors. These results highlight the importance of implementing multidimensional strategies to improve medical trainees’ sleep and wellbeing, increasing in turn their own and patients’ safety. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17130-4. BioMed Central 2023-11-23 /pmc/articles/PMC10666331/ /pubmed/37996804 http://dx.doi.org/10.1186/s12889-023-17130-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Mul Fedele, Malena Lis López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez-Chada, Daniel Vigo, Daniel Eduardo “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" |
title | “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" |
title_full | “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" |
title_fullStr | “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" |
title_full_unstemmed | “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" |
title_short | “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" |
title_sort | “multivariate analysis of the impact of sleep and working hours on medical errors: a mice approach" |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666331/ https://www.ncbi.nlm.nih.gov/pubmed/37996804 http://dx.doi.org/10.1186/s12889-023-17130-4 |
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