Effects of early intervention strategies using telehealth on an infant with Down syndrome: A case study
Bibliographic record
Abstract
Purpose: To present the strategies used and the effects of early physiotherapy intervention using telehealth on a Down syndrome infant. Materials and methods: An infant diagnosed with Down syndrome performed the early intervention. Telehealth was performed synchronously according to the biopsychosocial model The assessments were carried out using the International Classification of Functioning, Disability and Health checklist. The Alberta Infant Motor Scale and the Brazilian version of the Affordances in the Home Environment for Motor Development - Infant scale were used to assess the activity component and environmental factors, respectively. Evaluations were performed at 5, 50, 79, and 105 days of corrected age. Results: The infant obtained progressive and constant gains during 100 days of early intervention. It is known that environmental and personal factors interfere with the performance of the infant's skills. Conclusion: Early intervention initiated in the first month of life using telehealth in an infant with Down syndrome proved an effective intervention method.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".