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Related Experiment Video

Updated: Apr 30, 2026

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

Comparing screening instruments to predict posttraumatic stress disorder.

Joanne Mouthaan¹, Marit Sijbrandij², Johannes B Reitsma³

¹Department of Psychiatry, Centre for Anxiety Disorders, Research Group Psychotrauma, Academic Medical Centre, Amsterdam, The Netherlands.

|May 13, 2014

Summary

This summary is machine-generated.

The SPAN, TSQ, and IES-R show similar accuracy for early posttraumatic stress disorder (PTSD) risk screening. These instruments effectively identify individuals at risk, though clinical application may yield false positives.

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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

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Published on: July 1, 2014

Area of Science:

Psychiatry
Trauma Research
Clinical Psychology

Background:

Posttraumatic stress disorder (PTSD) affects a proportion of trauma survivors.
Early identification of PTSD risk is crucial for timely intervention.
Sensitive screening instruments are needed for at-risk individuals.

Purpose of the Study:

To compare the predictive accuracy of the SPAN, TSQ, and IES-R for chronic PTSD.
To evaluate these instruments at a minimum sensitivity of 80%.

Main Methods:

Injury patients (N=311) completed the SPAN, TSQ, and IES-R.
Clinical PTSD assessment was conducted at 6 months post-injury.
Area under the curve and specificity at 80% sensitivity were compared.

Main Results:

All instruments demonstrated adequate predictive accuracy (AUCs: SPAN 0.83, TSQ 0.82, IES-R 0.83).
Specificities at 80% sensitivity were 64% (SPAN), 59% (TSQ), and 72% (IES-R).
No significant differences in accuracy were found between the instruments.

Conclusions:

The SPAN, TSQ, and IES-R exhibit comparable accuracy in early PTSD risk detection.
Despite similar accuracy, modest specificities and low positive predictive values may result in false positives in clinical practice.