“Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach"
Abstract 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 ab...
Main Authors: | , , , , , , , , , , , |
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BMC
2023-11-01
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Series: | BMC Public Health |
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Online Access: | https://doi.org/10.1186/s12889-023-17130-4 |
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author | Malena Lis Mul Fedele María del Pilar López Gabeiras Guido Simonelli Joaquín José Diez Giannina Julieta Bellone Joaquín Cagliani Luis Larrateguy Kumiko Eiguchi Diego Andrés Golombek Daniel Pedro Cardinali Daniel Pérez-Chada Daniel Eduardo Vigo |
author_facet | Malena Lis Mul Fedele María del Pilar López Gabeiras Guido Simonelli Joaquín José Diez Giannina Julieta Bellone Joaquín Cagliani Luis Larrateguy Kumiko Eiguchi Diego Andrés Golombek Daniel Pedro Cardinali Daniel Pérez-Chada Daniel Eduardo Vigo |
author_sort | Malena Lis Mul Fedele |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-03-09T14:51:41Z |
format | Article |
id | doaj.art-d407811492f443cbb4195afdcf5224a8 |
institution | Directory Open Access Journal |
issn | 1471-2458 |
language | English |
last_indexed | 2024-03-09T14:51:41Z |
publishDate | 2023-11-01 |
publisher | BMC |
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series | BMC Public Health |
spelling | doaj.art-d407811492f443cbb4195afdcf5224a82023-11-26T14:27:08ZengBMCBMC Public Health1471-24582023-11-0123111410.1186/s12889-023-17130-4“Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach"Malena Lis Mul Fedele0María del Pilar López Gabeiras1Guido Simonelli2Joaquín José Diez3Giannina Julieta Bellone4Joaquín Cagliani5Luis Larrateguy6Kumiko Eiguchi7Diego Andrés Golombek8Daniel Pedro Cardinali9Daniel Pérez-Chada10Daniel Eduardo Vigo11Chronophysiology Lab, Institute for Biomedical Research (UCA-CONICET)Austral University, Austral University HospitalCentre d’études Avancées en Médecine du Sommeil, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord de L’Île-de-MontréalPan-American Institute of Sleep Medicine and ChronobiologyPontifical Catholic University of ArgentinaAnesthesiology Department, North Shore University HospitalPrivate Center of Respiratory Medicine of ParanáUniversity of SalvadorChronobiology Lab, Department of Science and Technology, National University of QuilmesPontifical Catholic University of ArgentinaAustral University, Austral University HospitalChronophysiology Lab, Institute for Biomedical Research (UCA-CONICET)Abstract 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.https://doi.org/10.1186/s12889-023-17130-4SleepCircadian rhythmsResident physiciansMedical errorsFatigueMultiple imputation by chained equations (MICE) |
spellingShingle | Malena Lis Mul Fedele María del Pilar López Gabeiras Guido Simonelli Joaquín José Diez Giannina Julieta Bellone Joaquín Cagliani Luis Larrateguy Kumiko Eiguchi Diego Andrés Golombek Daniel Pedro Cardinali Daniel Pérez-Chada Daniel Eduardo Vigo “Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach" BMC Public Health Sleep Circadian rhythms Resident physicians Medical errors Fatigue Multiple imputation by chained equations (MICE) |
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 | Sleep Circadian rhythms Resident physicians Medical errors Fatigue Multiple imputation by chained equations (MICE) |
url | https://doi.org/10.1186/s12889-023-17130-4 |
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