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Algorithm Versus Cut-Point Derived PTSD in Ex-Prisoners of War |
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| Authors: | Joan M Cook Richard Thompson James C Coyne Javaid I Sheikh |
| Institution: | (1) University of Pennsylvania, Philadelphia, Pennsylvania;(2) Philadelphia VA Medical Center, University and Woodland Avenues, Philadelphia, Pennsylvania;(3) Juvenile Protective Association, Chicago, Illinois;(4) VA Palo Alto Health Care System, Palo Alto, California;(5) Stanford University, Palo Alto, California |
| Abstract: | This study compared symptom-based algorithm to cut-point scoring of the PTSD Checklist (PCL) in a sample of 504 World War II ex-prisoners of war not seeking treatment. There was relatively high correspondence ( = .80) between the scoring methods; the algorithm identified more participants as having PTSD than the standard cut-point of 50. Receiver Operator Curve analyses revealed that a cut-point of 42 distinguished optimally between the algorithm-defined PTSD and non-PTSD groups. An optimal scoring method might use both cut-point and algorithm, ensuring individuals have the symptoms necessary for a diagnosis and of sufficient severity. |
| Keywords: | PTSD PTSD Checklist psychometrics prisoners of war |
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