Multivariate analysis of the impact of sleep and working hours on medical errors: A MICE approach
- Autores
- Mul Fedele, Malena Lis; López Gabeiras, María del Pilar; Simonelli, Guido; Diez, Joaquín José; Bellone, Giannina Julieta; Cagliani, Joaquín; Larrateguy, Luis Darío; Eiguchi, Kumiko; Golombek, Diego Andrés; Cardinali, Daniel Pedro; Pérez Chada, Daniel; Vigo, Daniel Eduardo
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
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
Fil: López Gabeiras, María del Pilar. Universidad Austral; Argentina
Fil: Simonelli, Guido. University of Montreal; Canadá. Hôpital du Sacré-Coeur de Montréal; Canadá
Fil: Diez, Joaquín José. Pan-American Institute of Sleep Medicine and Chronobiology; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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
Fil: Cagliani, Joaquín. North Shore University Hospital; Estados Unidos
Fil: Larrateguy, Luis Darío. Private Center Of Respiratory Medicine Of Paraná; Argentina
Fil: Eiguchi, Kumiko. Universidad del Salvador; Argentina
Fil: Golombek, Diego Andrés. Universidad de San Andrés; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina
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
Fil: Pérez Chada, Daniel. Universidad Austral; Argentina
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 - Materia
-
CIRCADIAN RHYTHMS
FATIGUE
MEDICAL ERRORS
MULTIPLE IMPUTATION BY CHAINED EQUATIONS (MICE)
RESIDENT PHYSICIANS
SLEEP - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/227855
Ver los metadatos del registro completo
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Multivariate analysis of the impact of sleep and working hours on medical errors: A MICE approachMul Fedele, Malena LisLópez Gabeiras, María del PilarSimonelli, GuidoDiez, Joaquín JoséBellone, Giannina JulietaCagliani, JoaquínLarrateguy, Luis DaríoEiguchi, KumikoGolombek, Diego AndrésCardinali, Daniel PedroPérez Chada, DanielVigo, Daniel EduardoCIRCADIAN RHYTHMSFATIGUEMEDICAL ERRORSMULTIPLE IMPUTATION BY CHAINED EQUATIONS (MICE)RESIDENT PHYSICIANSSLEEPhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Background: 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.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; ArgentinaFil: López Gabeiras, María del Pilar. Universidad Austral; ArgentinaFil: Simonelli, Guido. University of Montreal; Canadá. Hôpital du Sacré-Coeur de Montréal; CanadáFil: Diez, Joaquín José. Pan-American Institute of Sleep Medicine and Chronobiology; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: 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; ArgentinaFil: Cagliani, Joaquín. North Shore University Hospital; Estados UnidosFil: Larrateguy, Luis Darío. Private Center Of Respiratory Medicine Of Paraná; ArgentinaFil: Eiguchi, Kumiko. Universidad del Salvador; ArgentinaFil: Golombek, Diego Andrés. Universidad de San Andrés; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; ArgentinaFil: 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"; ArgentinaFil: Pérez Chada, Daniel. Universidad Austral; ArgentinaFil: 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; BélgicaBioMed Central2023-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/227855Mul 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; 1-141471-2458CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-023-17130-4info:eu-repo/semantics/altIdentifier/doi/10.1186/s12889-023-17130-4info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:42:26Zoai:ri.conicet.gov.ar:11336/227855instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:42:26.567CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
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 |
| spellingShingle |
Multivariate analysis of the impact of sleep and working hours on medical errors: A MICE approach Mul Fedele, Malena Lis CIRCADIAN RHYTHMS FATIGUE MEDICAL ERRORS MULTIPLE IMPUTATION BY CHAINED EQUATIONS (MICE) RESIDENT PHYSICIANS SLEEP |
| title_short |
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_sort |
Multivariate analysis of the impact of sleep and working hours on medical errors: A MICE approach |
| dc.creator.none.fl_str_mv |
Mul Fedele, Malena Lis López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Darío Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez Chada, Daniel Vigo, Daniel Eduardo |
| author |
Mul Fedele, Malena Lis |
| author_facet |
Mul Fedele, Malena Lis López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Darío Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez Chada, Daniel Vigo, Daniel Eduardo |
| author_role |
author |
| author2 |
López Gabeiras, María del Pilar Simonelli, Guido Diez, Joaquín José Bellone, Giannina Julieta Cagliani, Joaquín Larrateguy, Luis Darío Eiguchi, Kumiko Golombek, Diego Andrés Cardinali, Daniel Pedro Pérez Chada, Daniel Vigo, Daniel Eduardo |
| author2_role |
author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
CIRCADIAN RHYTHMS FATIGUE MEDICAL ERRORS MULTIPLE IMPUTATION BY CHAINED EQUATIONS (MICE) RESIDENT PHYSICIANS SLEEP |
| topic |
CIRCADIAN RHYTHMS FATIGUE MEDICAL ERRORS MULTIPLE IMPUTATION BY CHAINED EQUATIONS (MICE) RESIDENT PHYSICIANS SLEEP |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
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. 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 Fil: López Gabeiras, María del Pilar. Universidad Austral; Argentina Fil: Simonelli, Guido. University of Montreal; Canadá. Hôpital du Sacré-Coeur de Montréal; Canadá Fil: Diez, Joaquín José. Pan-American Institute of Sleep Medicine and Chronobiology; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina 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 Fil: Cagliani, Joaquín. North Shore University Hospital; Estados Unidos Fil: Larrateguy, Luis Darío. Private Center Of Respiratory Medicine Of Paraná; Argentina Fil: Eiguchi, Kumiko. Universidad del Salvador; Argentina Fil: Golombek, Diego Andrés. Universidad de San Andrés; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina 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 Fil: Pérez Chada, Daniel. Universidad Austral; Argentina 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 |
| 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. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-12 |
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article |
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http://hdl.handle.net/11336/227855 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 1471-2458 CONICET Digital CONICET |
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http://hdl.handle.net/11336/227855 |
| identifier_str_mv |
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 1471-2458 CONICET Digital CONICET |
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eng |
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eng |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
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BioMed Central |
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BioMed Central |
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