Profile of Pediatric Occupational Therapy Practice in Kuwait: A Qualitative Study
Bibliographic record
Abstract
Pediatrics specialty is the most occupational therapy practice in Kuwait. Therefore, the purpose of this survey is to establish a profile of pediatric occupational therapy practice in Kuwait. Moreover, it aims to recognize the most common diagnoses that are referred to the pediatrics occupational therapy in Kuwait as well as identify the most common assessments, frame of reference, and intervention techniques that are used in the area of practice. In addition, there are also many studies conducted about pediatric occupational therapy profiles in Australia, Canada, and United States, However, there are no studies about pediatric occupational therapy profiles in Kuwait (Australian Occupational Therapy Journal, 2005). Therefore, the importance of this research is to follow a successful role model similar to Canada, Australia, and the United States. The Methodology was is ex post facto survey that is adapted to conduct the data. The sample is all pediatric occupational therapists working in both Ministry of Health and the privet educational sector in Kuwait receive the survey. The sample size was 260 therapists but the responding participants were 217 therapists. The result showed that the most commonly used assessments were the Developmental Test of Visual Motor Integration, Peabody Developmental Motor Scales, Bruininks-Oseretsky Test of Motor Proficiency, and the Sensory Profile.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".