A Strength-Based Intervention to Increase Participation in Leisure Activities in Children with Neuropsychiatric Disabilities: A Pilot Study
Bibliographic record
Abstract
The aim is to evaluate the feasibility of an intervention model with a client-centered goal-directed approach with the aim to enhance the child's participation in leisure activities, self-efficacy, and activity performance. A pilot intervention using a client-centered goal-directed approach and a single-subject design was performed. Two Swedish boys with neuropsychiatric diagnosis aged 12 and 14 years old were included, and 3 leisure activity goals were identified. The intervention was carried out over 8 weeks and took place in the adolescent's everyday environment and at the pediatric rehabilitation center. The goal attainment of participation goals (GAS), the perceived performance ability according to the Canadian Occupational Performance Measure (COPM), the self-efficacy, and the participants' satisfaction were used to study the effect. The participants succeeded in attaining their leisure goals as specified by the GAS by achieving +2 on one goal and +1 on the other two goals. They estimated higher performance ability and self-efficacy in their goal performance. Participants, parents, and therapists were overall satisfied and found the intervention to be applicable and helpful in optimizing leisure participation. The intervention model with a client-centered goal-directed approach in which participants define their own leisure activity goals appears to be effective in increasing participation in leisure activities.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".