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Tracking Post-trauma Psychopathology Using Mobile Applications: a Usability Study

Overview of attention for article published in Journal of Technology in Behavioral Science, January 2017
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Title
Tracking Post-trauma Psychopathology Using Mobile Applications: a Usability Study
Published in
Journal of Technology in Behavioral Science, January 2017
DOI 10.1007/s41347-016-0008-9
Pubmed ID
Authors

Matthew Price, Katherine van Stolk-Cooke, Hannah L. Ward, Michael O’Keefe, Jennifer Gratton, Christian Skalka, Kalev Freeman

Abstract

Trauma exposure markedly increases risk for psychopathology including posttraumatic stress disorder (PTSD). Understanding the course by which PTSD develops after a traumatic event is critical to enhancing early intervention. Although prior work has explored the course of PTSD symptoms in the subsequent months, relatively few studies have explored the course of symptoms in the acute post-trauma period, defined as the 30 days after a traumatic event. A key challenge to conducting such studies is the lack of efficient means to collect data that does not impose significant burden on the participant during this time. The present study evaluated the use of a mobile phone application to collect symptom data during the acute post trauma period. Data was obtained from 23 individuals who experienced a Criterion A traumatic event and were recruited from the Emergency Department of a Level 1 Trauma Center. Participants completed 44.93% of daily assessments across a 30-day period. Responses rates were uncorrelated with PTSD symptoms or depression symptoms at 1-month and 3-month posttrauma. Participants reported that the surveys were moderately helpful and posed minimal burden. These findings suggest that mobile applications can be used to learn about the course of post-trauma recovery.

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The data shown below were collected from the profile of 1 X user 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 6 17%
Student > Bachelor 5 14%
Student > Postgraduate 4 11%
Student > Doctoral Student 2 6%
Other 3 8%
Unknown 10 28%
Readers by discipline Count As %
Psychology 10 28%
Medicine and Dentistry 5 14%
Computer Science 4 11%
Social Sciences 2 6%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2017.
All research outputs
#19,305,530
of 24,614,554 outputs
Outputs from Journal of Technology in Behavioral Science
#207
of 238 outputs
Outputs of similar age
#305,727
of 431,343 outputs
Outputs of similar age from Journal of Technology in Behavioral Science
#11
of 11 outputs
Altmetric has tracked 24,614,554 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.