Evaluation of a Web-Based ADHD Awareness Training in Primary Care: Pilot Randomized Controlled Trial With Nested Interviews
Bibliographic record
Abstract
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder affecting up to 5% of children and adults. Undiagnosed and untreated ADHD can result in adverse long-term health, educational, and social impacts for affected individuals. Therefore, it is important to identify this disorder as early as possible. General practitioners (GPs) frequently play a gatekeeper role in access to specialist services in charge of diagnosis and treatment. Studies have shown that their lack of knowledge and understanding about ADHD can create barriers to care. OBJECTIVE: This pilot randomized controlled trial assesses the efficacy of a web-based psychoeducation program on ADHD tailored for GPs. METHODS: A total of 221 participants were randomized to either a sham intervention control or an awareness training intervention and they completed questionnaires on ADHD knowledge, confidence, and attitude at 3 time points (preintervention, postintervention, and 2-week follow-up). Participants in the intervention arm were invited to participate in a survey and follow-up interview between 3 and 6 months after the intervention. RESULTS: The responses of 109 GPs were included in the analysis. The knowledge (P<.001) and confidence (P<.001) of the GPs increased after the intervention, whereas misconceptions decreased (P=.04); this was maintained at the 2-week follow-up (knowledge, P<.001; confidence, P<.001; misconceptions, P=.03). Interviews and surveys also confirmed a change in practice over time. CONCLUSIONS: These findings demonstrate that a short web-based intervention can increase GPs' understanding, attitude, and practice toward ADHD, potentially improving patients' access to care. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number ISRCTN45400501; http://www.isrctn.com/ISRCTN45400501.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".