Literature DB >> 28502597

Determining Resident Sleep During and After Call With Commercial Sleep Monitoring Devices.

Duncan R Morhardt1, Amy Luckenbaugh2, Cathy Goldstein3, Gary J Faerber2.   

Abstract

OBJECTIVE: To demonstrate that commercial activity monitoring devices (CAMDs) are practical for monitoring resident sleep while on call. Studies that have directly monitored resident sleep are limited, likely owing to both cost and difficulty in study interpretation. The advent of wearable CAMDs that estimate sleep presents the opportunity to more readily evaluate resident sleep in physically active settings and "home call," a coverage arrangement familiar to urology programs.
METHODS: Twelve urology residents were outfitted with Fitbit Flex devices during "home call" for a total of 57 (out of 64, or 89%) call or post-call night pairs. Residents were surveyed with the Stanford Sleepiness Scale (SSS), a single-question alertness survey. Time in bed (TIB) was "time to bed" to "rise for day." Fitbit accelerometers register activity as follows: (1) not moving; (2) minimal movement or restless; or (3) above threshold for accelerometer to register steps. Total sleep time (TST) was the number of minutes in level 1 activity during TIB. Sleep efficiency (SE) was defined as TST divided by TIB.
RESULTS: While on call, 10 responding (of 12 available, 83%) residents on average reported TIB as 347 minutes, TST as 165 minutes, and had an SE of 47%. Interestingly, SSS responses did not correlate with sleep parameters. Post-call sleep demonstrated increases in TIB, SE, and TST (+23%, +15%, and +44%, respectively) while sleepiness was reduced by 22%.
CONCLUSION: We demonstrate that urologic residents can consistently wear CAMDs while on home call. SSS did not correlate with Fitbit-estimated sleep duration. Further study with such devices may enhance sleep deprivation recognition to improve resident sleep.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28502597     DOI: 10.1016/j.urology.2017.03.059

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

Review 1.  Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep.

Authors:  Kelly Glazer Baron; Jennifer Duffecy; Mark A Berendsen; Ivy Cheung Mason; Emily G Lattie; Natalie C Manalo
Journal:  Sleep Med Rev       Date:  2017-12-20       Impact factor: 11.609

2.  Impact of Volume and Type of Overnight Pages on Resident Sleep During Home Call.

Authors:  Adam E Ludvigson; Stephen T Ryan; Christina R Gentile; Gregory J Mills; Graham T VerLee; Moritz H Hansen
Journal:  J Grad Med Educ       Date:  2018-10

3.  Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables.

Authors:  André Henriksen; Martin Haugen Mikalsen; Ashenafi Zebene Woldaregay; Miroslav Muzny; Gunnar Hartvigsen; Laila Arnesdatter Hopstock; Sameline Grimsgaard
Journal:  J Med Internet Res       Date:  2018-03-22       Impact factor: 5.428

4.  The metabolic demands of internal medicine residency.

Authors:  Sarah Sy; Karanvir Sall; Erika Dempsey; Gale Tedder; Kenneth Michael Madden
Journal:  J Occup Med Toxicol       Date:  2019-05-06       Impact factor: 2.646

Review 5.  The Impact of Wearable Technologies in Health Research: Scoping Review.

Authors:  Sophie Huhn; Miriam Axt; Hanns-Christian Gunga; Martina Anna Maggioni; Stephen Munga; David Obor; Ali Sié; Valentin Boudo; Aditi Bunker; Rainer Sauerborn; Till Bärnighausen; Sandra Barteit
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-25       Impact factor: 4.773

  5 in total

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