Application of a needs-driven, competencies-based mental health training program to a post-disaster situation: the Grenada experience.
Bibliographic record
Abstract
This report outlines an innovative approach to address post-natural disaster mental health needs in a region in which natural disasters are common---the Caribbean. Instead of traditional external vertical psychosocial interventions commonly used in this region, the authors developed and implemented a mental health interventions training program, in the island country of Grenada, which is focused on enhancing the capacity of local community-based health service providers to provide immediate and continued mental healthcare following a natural disaster. Soon after this training, a hurricane stuck the island of Grenada. A review of the self-confidence in the application of this training and the mental health intervention activities of these community health providers demonstrated that they felt able to effectively identify, intervene, and address post-disaster mental health needs within their communities and that their care of individuals affected continued beyond the immediate post-disaster period, suggesting that enhancing the capacity of local community-based health providers to deal with post-natural disaster mental health needs may be a useful model that may be applicable in other jurisdictions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".