An Open Label Pilot Study of a Brief Psychosocial Intervention for Disaster and Trauma Survivors
Bibliographic record
Abstract
BACKGROUND: In the aftermath of disaster, a large proportion of people will develop psychosocial difficulties that impair recovery, but for which presentations do not meet threshold criteria for disorder. Although these adjustment problems can cause high distress and impairment, and often have a trajectory towards mental health disorder, few evidence-based interventions are available to facilitate recovery. OBJECTIVE: This paper describes the development and pilot testing of an internationally developed, brief, and scalable psychosocial intervention that targets distress and poor adjustment following disaster and trauma. METHOD: The Skills fOr Life Adjustment and Resilience (SOLAR) program was developed by an international collaboration of trauma and disaster mental health experts through an iterative expert consensus process. The resulting five session, skills-based intervention, deliverable by community-based or frontline health or disaster workers with little or no formal mental health training (known as coaches), was piloted with 15 Australian bushfire survivors using a pre-post with follow up, mixed-methods design study. RESULTS: Findings from this pilot demonstrated that the SOLAR program was safe and feasible for non-mental health frontline workers (coaches) to deliver locally after two days of training. Participants' attendance rates and feedback about the program indicated that the program was acceptable. Pre-post quantitative analysis demonstrated reductions in psychological distress, posttraumatic stress symptoms, and impairment. CONCLUSIONS: This study provides preliminary evidence that the delivery of the SOLAR program after disaster by trained, frontline workers with little or no mental health experience is feasible, acceptable, safe, and beneficial in reducing psychological symptoms and impairment among disaster survivors. Randomized controlled trials of the SOLAR program are required to advance evidence of its efficacy.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".