Effectiveness of Residential and Intensive Outpatient Programs for the Treatment of Post-Traumatic Stress Disorder in Active Military Personnel and Veterans: A Meta-Analytical Review
Why this work is in the frame
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Bibliographic record
Abstract
The care and services offered in the treatment of active military personnel and veterans with PTSD take a variety of forms, ranging from residential to outpatient treatment programs. The differences in the organization of care between these programs make comparisons difficult; however, an intermediate alternative exists in the form of intensive outpatient programs (IOPs), whose organization and range of care are closer to that offered in residential programs. This review compares and evaluates the effectiveness of residential programs to that of IOPs in the treatment of PTSD in active military personnel and veterans. Nine databases were searched from September/November 2022 to include primary studies evaluating the treatment of PTSD in active military personnel and veterans in residential programs and IOPs. Results were summarized in a narrative synthesis. A meta-analysis using a random effects model examined changes in standardized mean differences in PTSD symptom scores at baseline and discharge. Thirty-two studies in 41 publications were included. There was a notable decrease in PTSD symptom scores at the end of treatment in both programs, and no significant difference was found between them. However, IOPs effectiveness may be influenced by patient type (active military personnel or veterans). Regardless, our results suggest a positive effect of both types of programs on reducing PTSD symptoms. It is essential to be aware of the constraints inherent in the literature on the subject, including the lack of comparative studies, the potential impact of comorbidities, and the differential response of active military personnel and veterans to similar treatments.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 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 it