Occupational Therapy’s Psychosocial Role for Young Children Transitioning out of Foster Care
Bibliographic record
Abstract
Background: Unmet needs for children in the foster care system lead to hardships with social participation, healthy relationships, and occupational engagement. Despite an understanding of these needs, there is minimal research on occupational therapy’s role for young children transitioning from foster care back to their biological parents. Method: A single case report was completed via occupational-based interventions focused on psychosocial development, such as emotional regulation and appropriate social skills. All nine interventions were intended to be provided via 45-min individual treatment sessions followed by biological parent coaching for 15 min with strategies such as role-playing, sensory techniques, and trauma-informed care. Emotional regulation and appropriate social skills were tracked through Goal Attainment Scaling, the Canadian Occupational Performance Measure, the Developmental Assessment of Young Children- Second Edition, and a parent interview. Results: All assessments provided significant results in the improvement of child engagement in social participation, education, and play. The parent interview demonstrated increased biological parent knowledge and decreased stress. Conclusion: Overall, the child’s occupational engagement and biological parent’s satisfaction enhanced their skill sets to improve their quality of life, occupational participation, and relationship quality. Through a coaching strategy, the biological parent gained confidence to take on social-emotional challenges during the child’s transitional phase.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".