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Post-traumatic stress disorder and its predictors in emergency medical service personnel: a cross-sectional study from Karachi, Pakistan

Overview of attention for article published in BMC Emergency Medicine, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

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2 X users
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3 Facebook pages

Citations

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47 Dimensions

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158 Mendeley
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Title
Post-traumatic stress disorder and its predictors in emergency medical service personnel: a cross-sectional study from Karachi, Pakistan
Published in
BMC Emergency Medicine, August 2017
DOI 10.1186/s12873-017-0140-7
Pubmed ID
Authors

Salima Mansoor Kerai, Uzma Rahim Khan, Muhammad Islam, Nargis Asad, Junaid Razzak, Omrana Pasha

Abstract

Emergency medical service (EMS) personnel who work to provide emergency medical care at the scene and during transportation are exposed to various kinds of stressors and are particularly susceptible to developing stress-reactions. This study assesses symptoms of post-traumatic stress disorder and its predictors among the personnel of a selected EMS in Karachi, Pakistan. Data were gathered from 518 personnel working in an EMS setting from February to May 2014. Participants were screened for post-traumatic stress symptoms using the Impact of Event Scale-Revised (IES-R). Demographic and work-related characteristics, coping styles and the social support systems of the participants were assessed. Linear regression was used on the IES-R to identify predictors of post-traumatic stress symptoms. The mean score of the IES-R was 23.9 ± 12.1. EMS personnel with a dysfunctional coping style (β = 0.67 CI 0.39 - 0.95), anxiety, and depression (β = 0.64 CI 0.52 - 0.75) were more likely to have increased severity of post-traumatic stress symptoms. Age was found to have an inverse relationship with stress symptoms (β = -0.17 CI 0.33 - -0.023), indicating the susceptibility of younger EMS personnel to stress. The EMS personnel in this setting were found to have a moderate level of post-traumatic stress symptoms. The significant predictors of post-traumatic stress symptoms in this EMS population were age, coping style, and levels of anxiety and depression. These predicting factors can be a potential avenue for interventions to improve the mental health of these frontline workers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 18%
Student > Bachelor 18 11%
Student > Ph. D. Student 13 8%
Student > Doctoral Student 12 8%
Student > Postgraduate 8 5%
Other 21 13%
Unknown 58 37%
Readers by discipline Count As %
Nursing and Health Professions 29 18%
Psychology 28 18%
Medicine and Dentistry 16 10%
Social Sciences 11 7%
Unspecified 3 2%
Other 13 8%
Unknown 58 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 August 2017.
All research outputs
#12,858,916
of 22,999,744 outputs
Outputs from BMC Emergency Medicine
#351
of 758 outputs
Outputs of similar age
#145,364
of 315,948 outputs
Outputs of similar age from BMC Emergency Medicine
#6
of 7 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 758 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.