Fatigue in surgical residents an analysis of duty-hours and the effect of hypothetical naps on predicted performance.

MedStar author(s):
Citation: American Journal of Surgery. 221(5):866-871, 2021 05.PMID: 32868025Institution: MedStar Washington Hospital CenterDepartment: Emergency Medicine | Medicine/EndocrinologyForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: *Fatigue/pc [Prevention & Control] | *General Surgery/ed [Education] | *Internship and Residency | *Personnel Staffing and Scheduling | *Sleep | Clinical Competence/sn [Statistics & Numerical Data] | Fatigue/ep [Epidemiology] | Fatigue/et [Etiology] | Humans | Internship and Residency/og [Organization & Administration] | Internship and Residency/sn [Statistics & Numerical Data] | Models, Theoretical | Personnel Staffing and Scheduling/og [Organization & Administration] | Personnel Staffing and Scheduling/sn [Statistics & Numerical Data] | Sleep Deprivation/ep [Epidemiology] | Sleep Deprivation/pc [Prevention & Control]Year: 2021Local holdings: Available online from MWHC library: 1995 - present, Available in print through MWHC library: 1999 - 2006ISSN:
  • 0002-9610
Name of journal: American journal of surgeryAbstract: CONCLUSIONS: Biomathematical modeling of resident schedules and predicts a concerning level of fatigue and decreased effectiveness. Naps may improve performance without decreasing scheduled hours. Copyright (c) 2020 Elsevier Inc. All rights reserved.METHODS: General surgery resident schedules were analyzed using the Sleep, Activity, Fatigue and Task Effectiveness model to predict resident performance during work hours. Hypothetical naps were built into the model to assess their effect on predicted performance and fatigue risk.PURPOSE: Sleep loss and fatigue, common in resident physicians, are related to increased medical errors and decreased physician wellbeing. Biomathematical modeling of fatigue can illuminate the relationship between surgical resident fatigue and work scheduling.RESULTS: 12 months of duty-hours logged by 89 residents, ranging from post-graduate year (PGY) 1-5, were analyzed. Residents had moderate levels of fatigue risk over 12 month schedules, with at least an 8-h sleep debt during 24.36% of shifts. Performance scores decreased as shift lengths increased. The addition of hypothetical naps increased predicted performance and reduced shift time with fatigue risk.All authors: Boyle L, Davis JE, Fitzgibbons SC, Hursh SR, Schwartz LP, Smith MOriginally published: American Journal of Surgery. 2020 Aug 21Fiscal year: FY2021Digital Object Identifier: Date added to catalog: 2020-10-06
Holdings
Item type Current library Collection Call number Status Date due Barcode
Journal Article MedStar Authors Catalog Article 32868025 Available 32868025

Available online from MWHC library: 1995 - present, Available in print through MWHC library: 1999 - 2006

CONCLUSIONS: Biomathematical modeling of resident schedules and predicts a concerning level of fatigue and decreased effectiveness. Naps may improve performance without decreasing scheduled hours. Copyright (c) 2020 Elsevier Inc. All rights reserved.

METHODS: General surgery resident schedules were analyzed using the Sleep, Activity, Fatigue and Task Effectiveness model to predict resident performance during work hours. Hypothetical naps were built into the model to assess their effect on predicted performance and fatigue risk.

PURPOSE: Sleep loss and fatigue, common in resident physicians, are related to increased medical errors and decreased physician wellbeing. Biomathematical modeling of fatigue can illuminate the relationship between surgical resident fatigue and work scheduling.

RESULTS: 12 months of duty-hours logged by 89 residents, ranging from post-graduate year (PGY) 1-5, were analyzed. Residents had moderate levels of fatigue risk over 12 month schedules, with at least an 8-h sleep debt during 24.36% of shifts. Performance scores decreased as shift lengths increased. The addition of hypothetical naps increased predicted performance and reduced shift time with fatigue risk.

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