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Mobile phone text messaging intervention to improve alertness and reduce sleepiness and fatigue during shiftwork among emergency medicine clinicians: study protocol for the SleepTrackTXT pilot…

Overview of attention for article published in Trials, June 2014
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Title
Mobile phone text messaging intervention to improve alertness and reduce sleepiness and fatigue during shiftwork among emergency medicine clinicians: study protocol for the SleepTrackTXT pilot randomized controlled trial
Published in
Trials, June 2014
DOI 10.1186/1745-6215-15-244
Pubmed ID
Authors

Paul Daniel Patterson, Charity G Moore, Matthew D Weaver, Daniel J Buysse, Brian P Suffoletto, Clifton W Callaway, Donald M Yealy

Abstract

Mental and physical fatigue while at work is common among emergency medical services (EMS) shift workers. Extended shifts (for example 24 hours) and excessive amounts of overtime work increase the likelihood of negative safety outcomes and pose a challenge for EMS fatigue-risk management. Text message-based interventions are a potentially high-impact, low-cost platform for sleep and fatigue assessment and distributing information to workers at risk of negative safety outcomes related to sleep behaviors and fatigue.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 216 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 16%
Researcher 30 14%
Student > Ph. D. Student 29 13%
Student > Bachelor 16 7%
Student > Doctoral Student 15 7%
Other 35 16%
Unknown 60 27%
Readers by discipline Count As %
Medicine and Dentistry 40 18%
Nursing and Health Professions 31 14%
Psychology 26 12%
Engineering 10 5%
Agricultural and Biological Sciences 6 3%
Other 37 17%
Unknown 69 32%