Knowledge of developmental coordination disorder among health and education professionals
Bibliographic record
Abstract
Abstract Objective Developmental coordination disorder (DCD) is a prevalent health condition in childhood. In Brazil, the prevalence varies from 4.3% to 19.9%. Despite its prevalence, surveys conducted in various countries reveal that DCD remains relatively unknown among health and education professionals, resulting in delayed diagnoses and limited access to treatment. The objective of this study was to assess the knowledge of Brazilian health and education professionals working with children and adolescents aged 6-17 regarding DCD. Method Online survey responded by 803 professionals, including teachers, occupational therapists, physiotherapists, and pediatricians. Results DCD ranked among the least known health conditions affecting children and adolescents, with 57% of participants exhibiting some level of awareness. Occupational therapists demonstrated the highest familiarity, followed by physiotherapists and pediatricians. Across all groups, there was greater recognition of motor aspects compared to non-motor characteristics of the disorder. A minimal number of health professionals considered the possibility of a child having DCD, and very few pediatricians formally diagnosed patients with DCD. Conclusions The limited awareness among health and education professionals underscores the need for strategies to disseminate knowledge about DCD. Addressing this gap is crucial to facilitate early identification, diagnosis, and intervention for individuals affected by DCD in Brazil.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".