The meaning of a multimodal approach for children with ADHD: experiences of service professionals
Bibliographic record
Abstract
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a childhood mental disorder characterized by inattention, impulsiveness and overactivity. It is also characterized by heterogeneity and ambiguity. Effective intervention is influenced by these two factors. This pervasive disorder impacts various domains of functioning, including academics, peer relations, familial relationships and self-esteem. A confounding factor is the high rate of comorbidity with diagnoses such as learning disabilities, oppositional defiant disorder or conduct disorder. No one intervention has emerged as maximally effective across all symptoms and domains. Consequently, a multimodal approach is regarded as the favoured method of intervention. However, no clear definition of'multimodal' exists. METHOD: This study explored the meaning of multimodal from the perspective of professionals employed in a tertiary care hospital setting in which children with ADHD are assessed and treated. A qualitative design using a phenomenological approach allowed professionals to speak from their practice experiences. RESULTS AND CONCLUSION: Although no clear definition of multimodal emerged, professionals identified issues key to this approach and proposed a model for intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".