An integrated program to train local health care providers to meet post-disaster mental health needs Programa integrado para entrenar a proveedores de servicios sanitarios locales a satisfacer las necesidades de salud mental después de un desastre
Bibliographic record
Abstract
This paper describes a post-disaster mental health training program developed by the International Section of the Department of Psychiatry at Dalhousie University (Halifax, Canada) and delivered in Grenada after Hurricane Ivan struck the country in September 2004. This train-the-trainer program used an integrated community health model to help local health care providers develop the necessary skills for the identification and evidenced-based treatment of mental disorders occurring after a natural disaster. The approach also provided for ongoing, sustainable mental health care delivered in the community setting, as advocated by the World Health Organization and the Pan American Health Organization. This approach is in contrast to the largely ineffective and costly vertical whole-population psychosocial counseling activities that have often been used in the Caribbean following natural disasters. En el presente trabajo se describe un programa de entrenamiento para la atención de la salud mental después de desastres, desarrollado por la Sección Internacional del Departamento de Psiquiatría de la Universidad de Dalhousie (Halifax, Canadá) y llevado a cabo en la isla de Granada después de que el huracán Iván azotó ese país en septiembre de 2004. Este programa de entrenamiento para entrenadores utilizó un modelo integrado de salud comunitaria para ayudar a los proveedores de los servicios sanitarios locales a desarrollar las habilidades necesarias para identificar los trastornos mentales frecuentes después de un desastre natural y aplicar tratamientos basados en pruebas científicas. Este programa también favorece el enfoque actual de atención sostenible de salud mental en la comunidad, promovido por la Organización Mundial de la Salud y la Organización Panamericana de la Salud. Además, se contrapone a las actividades verticales de consejería psicosocial dirigidas a toda la población, en su mayoría ineficaces y costosas, que se han venido empleando en el Caribe después de desastres naturales.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".