Social participation interventions targeting relational outcomes for young people with physical and developmental disabilities: an umbrella review and narrative synthesis
Bibliographic record
Abstract
PURPOSE: To synthesize knowledge about social participation interventions targeting relational outcomes for young people with physical and developmental disabilities. METHOD: An umbrella review with a narrative synthesis was conducted to integrate findings of review articles examining social participation interventions targeting relational outcomes (e.g., peer interaction and friendships). Six databases were searched to identify reviews published between 2010 and 2021. RESULTS: Five reviews were identified, examining participation interventions, social/community integration interventions, recreational sport programs, online peer mentorship programs, and augmentative and alternative communication interventions to promote social interaction with peers. Interventions associated with improvements in relational outcomes included group-based programs, programs involving personalized goals, arts-based programs, and multi-component social communication interventions. Recommendations for future research included better description of interventions to identify active ingredients and key mechanisms, measurement of participants' experiences, and the need for interventions to be aligned with the nature of the outcomes examined. Preliminary intervention principles are proposed to guide the design of social participation interventions: individualizing, contextualizing, and immersion in social settings. CONCLUSIONS: There are multiple pathways by which to influence the relational outcomes of young people with disabilities. There are implications for the design of social participation interventions based on an ecological/experiential and relational perspective. IMPLICATIONS FOR REHABILITATIONImprovements in relational outcomes are associated with participation in group-based programs, programs involving personalized goals, arts-based programs, and multi-component social communication interventions.Three evidence-informed principles can help guide the design of social participation interventions: (1) personalizing, (2) contextualizing, and (3) immersion in social settings.Greater attention to aligning the nature of intervention with desired outcomes is needed to more effectively measure and promote relational outcomes.
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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 | 0.020 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.016 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".