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Adapting the Primary Care PTSD Screener for firefighters
1Department of Mental Health Service, George E. Wahlen VA Medical Center, Salt Lake City, UT 84148, USA.
First responders face high risks for post-traumatic stress disorder (PTSD). The Primary Care PTSD for DSM-5 (PC-PTSD-5) scale shows promise as an efficient screening tool for firefighters, aiding early intervention.
Area of Science:
- Psychiatry
- Occupational Health
- Psychological Assessment
Background:
- First responders are at elevated risk for post-traumatic stress disorder (PTSD) due to the nature of their demanding work.
- Early identification of PTSD in first responders is crucial for timely access to mental health services.
- Validated screening instruments are essential for efficient assessment in this high-risk population.
Purpose of the Study:
- To evaluate the diagnostic accuracy of the Primary Care PTSD for DSM-5 (PC-PTSD-5) scale in a firefighter population.
- To explore the utility of an adapted PC-PTSD-5 utilizing a five-point Likert scale.
- To determine the sensitivity and specificity of the adapted PC-PTSD-5 for identifying probable PTSD among firefighters.
Main Methods:
- A pooled analysis of firefighters (N=92) from treatment-seeking and general population samples was conducted.
- Participants completed an adapted PC-PTSD-5 and the Post-Traumatic Stress Disorder Checklist for DSM-5 (PCL-5).
- Receiver operating characteristic (ROC) curve analyses were performed using PCL-5 scores as the reference standard.
Main Results:
- The PC-PTSD-5 demonstrated strong overall operating characteristics for PTSD screening in firefighters.
- An optimal threshold of 3 was identified for the original PC-PTSD-5 proxy (0-5 scale).
- A threshold score of 9 was determined for the adapted PC-PTSD-5 with a wider response range (0-20).
Conclusions:
- The PC-PTSD-5 shows potential as a brief and effective screening tool for PTSD in firefighters.
- Preliminary findings suggest specific cut-off scores for both original and adapted versions.
- Further research with larger, diverse samples is recommended to validate these findings and expand clinical application.
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