Recursos de tecnologia assistiva no desempenho funcional de crianças com encefalopatia por síndrome congênita do Zika vírus
Bibliographic record
Abstract
Objective: The aim of this study is to evaluate the effects of the use of Assistive Technology resources on the functional performance of children with Zika Virus Congenital Syndrome encephalopathy from the perspective of the family member and / or caregiver through the Canadian Occupational Performance Measure (COPM). Methodology: Evaluation study of intervention with caregivers of children diagnosed with Zika Virus microcephaly and consequent Cerebral Palsy with different topographies that received Assistive Technology resources. The research was carried out at the UFC Early Treatment and Stimulation Center. The scale used was the COPM, which identifies problems, concerns or issues related to occupational performance and need for indication of adapted therapies and resources, furniture, orthoses and adaptations of Assistive Technology. The protocol was initially applied at the entrance of the service in 2016 with parents and / or caregivers of children to assess functional performance without the use of resources and after 2 years of use of resources in 2018. Performance and satisfaction levels were analyzed. parents pre and post use of assistive technology resources. Results: The study included 23 children, 12 males and 11 females. The average age of all children was 7.02 months, with encephalopathy caused by Zika virus with GMFCS level V. The main complaints reported by parents in the beginning were 23.8% (6) holding the head and 34.2% (9) sitting. The average number of complaints by caregivers was 1.13. Complaints from caregivers extracted from COPM after two years of resource use were rolling 4% (1), sitting down; 64% (16); head balancing 20% (5); crawl 4% (1) and fine motor 8% (2) of the total demands of caregivers. The average number of complaints by caregivers was 1.08. Therefore, it was observed that the caregivers' complaints regarding the child's performance for Rolling, Head Balancing, Dragging, Prone and Fine Motor were lower after the 2 years of resource use. Conclusions: There was no statistical significance in the performance and satisfaction of assistive technology resources before and after for both sexes due to the severity of musculoskeletal disorders.
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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 | 0.005 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".