Biomathematical Modeling Predicts Fatigue Risk in General Surgery Residents. 

 -  2021 
<br/><br/> CONCLUSIONS: Surgical resident sleep and shift patterns may create fatigue risk. Biomathematical modeling can aid the prediction of resident sleep patterns and performance. This approach provides an important tool to help educators in creating work-schedules that minimize fatigue risk. Copyright (c) 2021 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.  DESIGN: 8-weeks of sleep data and shift schedules from 2019 for 24 surgical residents were assessed with a biomathematical model to predict performance ("effectiveness").  OBJECTIVE: To assess resident fatigue risk using objective and predicted sleep data in a biomathematical model of fatigue.  SETTING: Greater Washington, DC area hospitals RESULTS: As shift lengths increased, effectiveness scores decreased and the time spent below criterion increased. Additionally, 11.13% of time on shift was below the effectiveness criterion and 42.7% of shifts carried excess sleep debt. Sleep prediction was similar to actual sleep, and both predicted similar performance (p <= 0.001). 
<br/><br/><br/>English 
<br/><br/><label>ISSN: </label>1878-7452 
<br/><br/><label>Standard No.: </label>10.1016/j.jsurg.2021.04.007 [doi] S1931-7204(21)00103-3 [pii] 
<br/><br/><label>Subjects--Topical Terms: </label><br/>IN PROCESS -- NOT YET INDEXED
<br/><br/><label>Subjects--Geographic Terms: </label><br/>MedStar Institute for Innovation<br/>MedStar Washington Hospital Center
<br/><br/><label>Index Terms--Occupation: </label><br/>Emergency Medicine
<br/><br/><label>Index Terms--Function: </label><br/>Journal Article