Routine versus ad hoc screening for acute stress following injury: who would benefit and what are the opportunities for prevention
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Screening for acute stress is not part of routine trauma care owing in part to high variability of acute stress symptoms in identifying later onset of posttraumatic stress disorder (PTSD). The objective of this pilot study was to assess the sensitivity, specificity, and power to predict onset of PTSD symptoms at 1 and 4 months using a routine screening program in comparison to current ad hoc referral practice. METHODS: Prospective cross-sectional observational study of a sample of hospitalized trauma patients over a four-month period from a level-I hospital in Canada. Baseline assessments of acute stress (ASD) and subsyndromal ASD (SASD) were measured using the Stanford Acute Stress Reaction Questionnaire (SASRQ). In-hospital psychiatric consultations were identified from patient discharge summaries. PTSD symptoms were measured using the PTSD Checklist-Specific (PCL-S). Post-discharge health status and health services utilization surveys were also collected. RESULTS: Routine screening using the ASD (0.43) and SASD (0.64) diagnoses were more sensitive to PTSD symptoms at one month in comparison to ad hoc referral (0.14) and also at four months (0.17, 0.33 versus 0.17). Ad hoc referral had greater positive predictive power in identifying PTSD caseness at 1 month (0.50) in comparison to the ASD (0.46) and SASD (0.43) diagnoses and also at 4 months (0.67 versus 0.25 and 0.29). CONCLUSIONS: Ad hoc psychiatric referral process for acute stress is a more conservative approach than employing routine screening for identifying persons who are at risk of psychological morbidity following injury. Despite known limitations of available measures, routine patient screening would increase identification of trauma survivors at risk of mental health sequelae and better position trauma centers to respond to the circumstances that affect mental health during recovery.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it