Biomathematical Modeling Predicts Fatigue Risk in General Surgery Residents. (Record no. 6456)

MARC details
000 -LEADER
fixed length control field 02385nam a22004097a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210628s20212021 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1878-7452
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1016/j.jsurg.2021.04.007 [doi]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code S1931-7204(21)00103-3 [pii]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 33994335
245 ## - TITLE STATEMENT
Title Biomathematical Modeling Predicts Fatigue Risk in General Surgery Residents.
251 ## - Source
Source Journal of Surgical Education. 2021 May 13
252 ## - Abbreviated Source
Abbreviated source J Surg Educ. 2021 May 13
253 ## - Journal Name
Journal name Journal of surgical education
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2021
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer FY2021
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Publication date 2021 May 13
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status aheadofprint
266 ## - Date added to catalog
Date added to catalog 2021-06-28
520 ## - SUMMARY, ETC.
Abstract 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.
520 ## - SUMMARY, ETC.
Abstract 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").
520 ## - SUMMARY, ETC.
Abstract OBJECTIVE: To assess resident fatigue risk using objective and predicted sleep data in a biomathematical model of fatigue.
520 ## - SUMMARY, ETC.
Abstract 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).
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IN PROCESS -- NOT YET INDEXED
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Institute for Innovation
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Washington Hospital Center
656 ## - INDEX TERM--OCCUPATION
Department Emergency Medicine
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Davis, Jonathan E
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Mosher, Elizabeth
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Smith, Mark S
790 ## - Authors
All authors Boyle L, Davis JE, Devine JK, Fitzgibbons SC, Hursh SR, Mosher E, Schumacher S, Schwartz LP, Smith M
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1016/j.jsurg.2021.04.007">https://dx.doi.org/10.1016/j.jsurg.2021.04.007</a>
Public note https://dx.doi.org/10.1016/j.jsurg.2021.04.007
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 06/28/2021   33994335 33994335 06/28/2021 06/28/2021 Journal Article

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