Beyond first-line approaches: A scoping review of emerging operational stress interventions for military and public safety personnel
Bibliographic record
Abstract
LAY SUMMARY Mental health issues such as posttraumatic stress disorder (PTSD) are increasingly common among military Veterans and public safety personnel. Typical or traditional treatments such as therapy and medication work for only about 50%−60% of individuals, showing a clear need for more options. A search of PTSD treatment programs in Canada between 2011 and 2022 to identify available programs was conducted. The authors screened hundreds of records and found 13 studies, plus an additional seven programs through a search of a public database. These programs use many methods, some of which include complementary and alternative medicine, such as yoga and mindfulness. This review found that Canada has many novel mental health programs; however, very few of these programs have been evaluated for their effectiveness, which may lead some health care providers to be resistant to recommending them. The authors suggest that much more research needs to be conducted to better understand and improve programs that are effective for military and public safety personnel.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".