The impact of parent involvement on improving participation of children born preterm: The story in the baseline
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Preterm birth continues to be a major public health challenge that has long term consequences on participation into adulthood. However, little is known about effective interventions to improve the participation of children born preterm. Methods: This study gathered initial evidence on the usefulness of a goal-focused, environmental-based approach (Pathways and Resources for Engagement and Participation (PREP)) in improving the participation of children born preterm, and living in Ireland. Three school-age boys (6-7 years old) with a history of preterm birth participated in the 12-week PREP intervention. A 36-week single-subject AB design was employed and replicated across 3 different participation goals within each child and across 3 children. Activity performance was measured repeatedly, through parental involvement, using the Canadian Occupational Performance Measure (COPM), providing 9 individual outcome trajectories. Visual inspection and mixed-effects segmented regression were used. Results: Goals were selected from various participation domains and settings. Throughout the baseline phase, once goals were set, significant improvements in activity performance were observed for all participants (t = 14.06, p < 0.001). Further clinically significant improvements (2.58 on the COPM) for all 9 participation goals were seen in overall performance during the intervention phase. These changes remained at follow-up. Conclusions: Findings support family-centered practice and draw attention to the power of goal setting in improving participation within this context. Challenges with single-subject design with this population were also highlighted. Results demonstrate the potential impact of parent involvement when using an environmental-based approach to improve the participation of this underserved population.
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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 | 0.032 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it