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dc.contributor.author
Mul Fedele, Malena Lis  
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López Gabeiras, María del Pilar  
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Simonelli, Guido  
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Diez, Joaquín José  
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Bellone, Giannina Julieta  
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Cagliani, Joaquín  
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Larrateguy, Luis Darío  
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Eiguchi, Kumiko  
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Golombek, Diego Andrés  
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Cardinali, Daniel Pedro  
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Pérez Chada, Daniel  
dc.contributor.author
Vigo, Daniel Eduardo  
dc.date.available
2024-02-21T15:12:13Z  
dc.date.issued
2023-12  
dc.identifier.citation
Mul Fedele, Malena Lis; López Gabeiras, María del Pilar; Simonelli, Guido; Diez, Joaquín José; Bellone, Giannina Julieta; et al.; Multivariate analysis of the impact of sleep and working hours on medical errors: A MICE approach; BioMed Central; BMC Public Health; 23; 1; 12-2023; 1-14  
dc.identifier.issn
1471-2458  
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http://hdl.handle.net/11336/227855  
dc.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.  
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application/pdf  
dc.language.iso
eng  
dc.publisher
BioMed Central  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
CIRCADIAN RHYTHMS  
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FATIGUE  
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MEDICAL ERRORS  
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MULTIPLE IMPUTATION BY CHAINED EQUATIONS (MICE)  
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RESIDENT PHYSICIANS  
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SLEEP  
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Neurociencias  
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Medicina Básica  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Multivariate analysis of the impact of sleep and working hours on medical errors: A MICE approach  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-02-20T12:26:22Z  
dc.journal.volume
23  
dc.journal.number
1  
dc.journal.pagination
1-14  
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Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Mul Fedele, Malena Lis. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; Argentina  
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Fil: López Gabeiras, María del Pilar. Universidad Austral; Argentina  
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Fil: Simonelli, Guido. University of Montreal; Canadá. Hôpital du Sacré-Coeur de Montréal; Canadá  
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Fil: Diez, Joaquín José. Pan-American Institute of Sleep Medicine and Chronobiology; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Bellone, Giannina Julieta. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina  
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Fil: Cagliani, Joaquín. North Shore University Hospital; Estados Unidos  
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Fil: Larrateguy, Luis Darío. Private Center Of Respiratory Medicine Of Paraná; Argentina  
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Fil: Eiguchi, Kumiko. Universidad del Salvador; Argentina  
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Fil: Golombek, Diego Andrés. Universidad de San Andrés; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina  
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Fil: Cardinali, Daniel Pedro. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina  
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Fil: Pérez Chada, Daniel. Universidad Austral; Argentina  
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Fil: Vigo, Daniel Eduardo. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina. Katholikie Universiteit Leuven; Bélgica  
dc.journal.title
BMC Public Health  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-023-17130-4  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1186/s12889-023-17130-4