Evidence map›Paper›PMID 26305869›Full record

Trial reportAmerican journal of industrial medicine2015

Real-time fatigue reduction in emergency care clinicians: The SleepTrackTXT randomized trial.

P Daniel Patterson, Daniel J Buysse, Matthew D Weaver, Jack M Doman, Charity G Moore, Brian P Suffoletto, Kyle L McManigle, Clifton W Callaway, Donald M Yealy

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of industrial medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02063737 (The Sleep Track Text Pilot Trial in Emergency Care Clinicians), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02063737 early_phase1completednot on this map

The Sleep Track Text Pilot Trial in Emergency Care Clinicians

TypeinterventionalSponsorUniversity of PittsburghRan2014 to 2014Enrolled100ConditionsFatigueArmsText-message assessments only, Text-message interventions for high level fatigue
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Should public safety shift workers be allowed to nap while on duty?American journal of industrial medicine · 2020
    Article
  9. Article
  10. Article
  11. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

P Daniel PattersonDepartment of Emergency Medicine, Carolinas HealthCare System Medical Center, Charlotte, North Carolina.
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Matthew D WeaverHarvard Medical School, Department of Medicine, Division of Sleep Medicine.
Jack M DomanDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Charity G MooreDickson Advance Analytics Group, Carolinas HealthCare System Medical Center, Charlotte, North Carolina.
Brian P SuffolettoDepartment of Emergency Medicine, University of Pittsburgh School of Medicines, Pittsburgh, Pennsylvania.
Kyle L McManigleDepartment of Emergency Medicine, University of Pittsburgh School of Medicines, Pittsburgh, Pennsylvania.
Clifton W CallawayDepartment of Emergency Medicine, University of Pittsburgh School of Medicines, Pittsburgh, Pennsylvania.
Donald M YealyDepartment of Emergency Medicine, University of Pittsburgh School of Medicines, Pittsburgh, Pennsylvania.

Funding

University of Pittsburgh Clinical and Translational Science InstitutionKL2TR000146 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$8.7M
NCATS NIH HHS KL2 TR000146
6 · The paper itself

Abstract

backgroundWe assessed performance characteristics and impact of a mobile phone text-message intervention for reducing intra-shift fatigue among emergency clinician shift workers.

methodsWe used a randomized controlled trial of 100 participants. All participants received text-message assessments at the start, every 4 hr during, and at end of scheduled shifts over a 90-day period. Text-message queries measured self-rated sleepiness, fatigue, and difficulty with concentration. Additional text-messages were sent to intervention participants to promote alertness. A performance measure of interest was compliance with answering text-messages.

resultsNinety-nine participants documented 2,621 shifts and responded to 36,073 of 40,947 text-messages (88% compliance rate). Intervention participants reported lower mean fatigue and sleepiness at 4 hr, 8 hr, and at the end of 12 hr shifts compared to controls (P < 0.05). Intervention participants reported better sleep quality at 90-days compared to baseline (P = 0.01).

conclusionsWe showed feasibility and short-term efficacy of a text-message based assessment and intervention tool.

Indexed as

Emergency Medical ServicesText MessagingWork Schedule ToleranceAdolescentAdultAgedFatigueFemaleFollow-Up StudiesHumansMaleMiddle AgedOccupational DiseasesSingle-Blind MethodSleepTreatment Outcomefatigueinjurymobileshiftworksleepiness

Identifiers

PMID26305869
PMCPMC4573891

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.