Validation of the PTSD Checklist for DSM-5 (PCL-5) on Patients Injured in Car Accidents
Bibliographic record
Abstract
Background: The PTSD Checklist for DSM-5 (PCL-5), is presently the most widely used psychological measure of PTSD along the criteria of DSM-5. We examined the criterion validity of PCL-5 separately for each of its 20 items by comparing scores of patients injured in high impact motor vehicle accidents (MVAs) to scores of persons in a control group. In addition, we evaluated criterion and convergent validity of the PCL-5 total scores. Method: De-identified data of 80 post-MVA patients (mean age 38.9 years, SD=12.8) included their scores on the PCL-5, Brief Pain Inventory (BPI), Insomnia Severity Index (ISI), Rivermead Post-concussion Symptoms Questionnaire, Subjective Neuropsychological Symptoms Scale (SNPSS), ratings of depression, anger, and anxiety (Items 10 to 12 of the Whiplash Disability Questionnaire), and three questionnaire measures of driving anxiety (Steiner’s, Whetstone’s, and DAQ). The patients were assessed, on the average, 49.7 weeks (SD=36.3) after their MVA, but all still experienced active post-MVA symptoms requiring therapy. The PCL-5 scores were also available from 21 controls (mean age 43.0 years, SD=20.3). Results and Discussion: With respect to criterion validity of the PCL-5, the post-MVA patients differed significantly from the control group not only with respect to their total PCL-5 scores, but also on all 20 individual items of the PCL-5, and also on all 4 subscales of PCL-5 (Intrusion, Avoidance, Altered Cognitions/Mood, and Arousal). The PCL-5 total scores correlated significantly to all three measures of post-MVA driving anxiety, post-MVA pain and insomnia, post-MVA depression, anger, and generalized anxiety, and to post-MVA subjective neuropsychological symptoms in the post-concussion and whiplash spectrum. Conclusions: Both the criterion and convergent validity of the PCL-5 for the use on post-MVA patients are excellent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".