Reducing the impacts of exposure to potentially traumatic events on the mental health of public safety personnel: A rapid systematic scoping review.
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
Police, firefighters, and emergency medical technicians and paramedics are frequently exposed to potentially traumatic events (PTE) in their work as public safety personnel (PSP). PTE are a risk factor for posttraumatic stress disorder, depression, anxiety, substance abuse, and suicidal ideation. This systematic rapid scoping review summarizes evaluation research on psychosocial interventions to reduce the negative consequences of exposure to work-related PTE on the mental health of PSP. Articles were identified using PubMed and PsycInfo. Publications from January 1, 2013, to December 1, 2020, were retained because the research published before 2013 was covered by other reviews. We identified 601 unique documents; 30 met preliminary eligibility criteria; and 18 were retained. Most studies were limited to police officers and firefighters. Participants exposed to prevention measures reported improvements of symptoms of depression, burnout, anxiety, sleep problems, and well-being. Most articles identified factors that may hinder or facilitate the use of program components. Studies on ways to support PSP recently affected by a PTE are lacking. There are little data on the efficacy of prevention programs in reducing the prevalence of mental disorders associated with PTE. More studies should focus on identifying participant characteristics and intervention components that influence program use, adherence, and efficacy. Realistic evaluations combined with participatory research could help address important knowledge gaps. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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