Academic Outcomes in Primary and Secondary School Students Prescribed Long-Acting Stimulants for ADHD Management
Bibliographic record
Abstract
Objective: This study examines the impact of long-acting stimulant (LAS) pharmacotherapy for ADHD on academic outcomes among students in grades K-12 using retrospective analysis of administrative data. Methods: ADHD diagnosis was identified based on ADHD management plans in school records, physician notes in billing records, and/or prescription records. Prescription records identified LAS-treated students ( n = 15,544), excluding those treated with immediate/intermediate-acting stimulants or atomoxetine. A control group without ADHD ( n = 204,681), and another with untreated ADHD ( n = 27,880) were also identified. The following outcomes were examined using multivariate regression: report card scores, standardized assessment exam performance, graduation from high school, school attendance, and transition to post-secondary education. Results: ADHD was associated with lower average report card scores and provincial assessment exam scores and increased frequency of school absence among grades K-12, and decreased likelihood of high school graduation and transition to post-secondary education. LAS treatment was associated with improved report card (score estimate −4.93 Treated, −6.19 Untreated) and provincial assessment exam scores (percentile rank estimate −9.20 Treated, −11.50 Untreated) among grades 9 to 12, reduced absences among grades K-12 (absence rate estimate −3.33 Treated, 7.96 Untreated), and increased likelihood of graduation (OR of failure to graduate 1.39 Treated, 2.22 Untreated) and transition to post-secondary education (OR of no transition 0.77 Treated, 1.42 Untreated; reference = No ADHD group). Conclusion: LAS pharmacotherapy is associated with improved academic performance, attendance, and likelihood of graduation and transition to post-secondary education.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".