Health Care Utilization by United Nations Peacekeeping Veterans with Co-occurring, Self-Reported, Post-Traumatic Stress Disorder and Depression Symptoms versus Those Without
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It remains to be determined whether patients with comorbid post-traumatic stress disorder (PTSD) and depression use more health care resources than do those without. United Nations peacekeeping veterans from Canada were divided into four groups, i.e., PTSD alone (n = 23), depression alone (n = 167), comorbid PTSD and depression (n = 119), and neither (n = 164), and compared with respect to total number of visits to any health care professional in the past year. Analysis of variance revealed that the groups significantly differed in total visits. Post hoc analyses indicated that veterans with co-occurring PTSD and depression symptoms had more visits than did those in the other groups and that veterans with PTSD symptoms alone and depression symptoms alone had more visits than did those with neither PTSD nor depression. Additional analyses revealed that veterans with co-occurring PTSD and depression symptoms made more visits to general practitioners, specialists, pharmacists, and mental health professionals than did the others. Future research directions and implications for treatment planning are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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