Play prescription: intervention delivered at primary health care facilities to promote child development through activities at home
Bibliographic record
Abstract
BACKGROUND: Play is a fundamental component of children's social, emotional, cognitive, and physical development. This study focused on assesses a play-based intervention method to promote overall child development based on parental involvement, delivered at primary care facilities. METHODS: Quasi-experimental study was conducted with children 24-59 months old, regularly attending the monthly stimulation sessions in primary care facilities in the state of Puebla, Mexico, from November 2015 to April 2016. Play interventions were administered over six sessions each month 1-h length individually for the dyad, included free play time, and each session one activity at home that include the five areas of development and with some materials provided but encouraged to use more available at home. The Child Development Evaluation (EDI) test was administered at baseline, 3 and 6 months after the intervention. A comprehensive data set encompassing demographic variables was collected and analyzed. McNemar test was used to assess developmental changes over time. RESULTS: The sample consisted of 276 children, 60.5% were male, median age 40 months (interquartile range: 34-46). All participants attend the six sessions and conducted activities daily at home. Overall, the percentage of children with abnormal result with EDI test was 77.2% at baseline and 17.4% final measurement at 6 months (p < 0.001), with mild-delay decreased from 39.9% to 6.9% and high-risk of delay from 37.3% to 10.5%. CONCLUSION: The play intervention resulted in a clinically and statistically significant improvement in the developmental outcomes of the children, both with normal/abnormal result at baseline.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".