Impact of a Brief Training on Mental Health Stakeholders’ Implementation of Evidence-Based Strategies for Trauma in the Caribbean Within the Context of COVID-19
Bibliographic record
Abstract
Abstract: Objective: Lack of governmental funding/infrastructure for mental health has created urgent need for effective training in evidence-based treatments for trauma in the Caribbean for under-resourced providers. Furthermore, impacts of the COVID-19 health crisis on providers’ implementation of skills in this region are currently unknown. Method: We examined impacts of a one-day training workshop for stakeholders in the Caribbean providing psychoeducation on trauma and PTSD and training in short-term interventions. Participants ( n = 46) were surveyed at preworkshop and postworkshop and at 3-month and 6-month follow-up (which coincided with the first 6 months of the COVID-19 pandemic) to assess retention of any changes in perceived knowledge about trauma/effective treatments and subsequent skill implementation. Results: Participants reported significant pre–post workshop increases in perceived knowledge (pre M = 31.61, post M = 44.63) about trauma and its effective treatments ( t[45] = −6.17, p < .001). This perceived knowledge was significantly maintained over time (3M M = 42.66, 6M M = 40.75). Furthermore, participants reported significant use of several of the strategies taught at the workshop at follow-up. Higher reported emotional distress related to the pandemic was associated with lower implementation at 6M, despite significant retention in perceived knowledge from the workshop ( B = −0.02, β = −1.55, p < .05). Conclusions: Brief trauma-focused trainings can be helpful for providers in under-resourced global settings with observable impact on implementation practices over time, but providers’ emotional distress stemming from public health crises can influence practice behaviors. Subsequent impacts on policy/budget allocations are discussed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".