Gatekeeper training for friends and family of individuals at risk of suicide: A systematic review
Bibliographic record
Abstract
AIMS: Gatekeeper training (GKT) is an important suicide prevention strategy. Studies have evaluated the effectiveness of GKT in different populations, often neglecting family and friends who play a vital role in caring for people with suicide risk. This review evaluated GKT programs targeting family and friends to determine their effectiveness in this specific population. METHODS: Academic databases were searched for studies on GKT programs. Programs involving family and friends caring for people with suicide risk were assessed for any impact on knowledge, self-efficacy, attitudes, and suicide prevention skills. RESULTS: Seventeen studies were reviewed. GKT showed significant gains on outcomes of interest. Three studies targeted family and friends, with one involving them in program creation and conduction and another adjusting the program after their input. CONCLUSIONS: GKT programs have potentially positive effects on family and friends caring for people with suicide risk. Few programs address the specific needs of this group, and programs adapted specifically for them are scarce. Future program development recommendations are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".