The role of the Occupational Therapist with children with neuropsychomotor development delay
Bibliographic record
Abstract
Prematurity it is the birth of infants before 37 weeks gestation; it is known that such a condition associated with prolonged hospitalization is a risk factor to the development of infants. This study aimed to highlight the gains related to sensorial, neuromuscleskeletal and motor performance components occurred after occupational therapy intervention in a preterm infant. To this end, a literature survey as carried out, as well as weekly assistance of occupational therapy at the Lucy Montoro rehabilitation center in Ribeirao Preto, state of Sao Paulo, where the Alberta Infant Motor Scale (AIMS) was used in an extremely preterm infant in order to evaluate and quantify motor performance. After assessment, we used playful resources to improve sensorial neuromuscleskeletal motor performance components so that, later, they assist in greater independence for effective participation in the playing. We verified that the intervention brought about the development of a repertoire of sensorial neuromuscleskeletal motor actions; through this process, when correction of the chronological age was made by the prematurity factor, it was possible to observe that the gains were very satisfactory and consistent with what is expected for the corrected age, demonstrating the effectiveness of occupational therapy assistance as an agent for minimizing the effects caused by risk factors to neuropsychomotor development.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".