Children's Persistence with Methylphenidate Therapy: A Population-Based Study
Bibliographic record
Abstract
OBJECTIVE: To examine persistence with methylphenidate (MPH) therapy among children and youth in the general population. METHOD: We conducted a retrospective analysis of longitudinally organized, individual-specific anonymous data from linked prescription and health databases covering the population of British Columbia for 1990 through 1996. No prescriptions being filled for 4 months indicated cessation of one bout of therapy. RESULTS: Among 16,945 identified MPH patients aged 19 years or under, overall duration of therapy was 584 days, and the average number of prescriptions received was 6.6. One-third of patients received 2 or fewer prescriptions, while 18% followed a chronic, continuous course. Among patients receiving more than 2 prescriptions, 50% of discrete therapy bouts lasted 4 months or less, and one-third of cases had multiple bouts of therapy (range 2 to 6 bouts). Younger age (that is, children aged 0 to 8 years, vs those aged 10 to 19 years), male sex, and receipt of initial prescription from a psychiatrist were associated with greater persistence. CONCLUSIONS: Enormous variability in persistence with MPH therapy and often-occurring low rates of persistence raises questions about the diligence with which MPH patients are selected, prepared, and followed in the general population. Special attention to the needs of older children and to the needs of girls is required, and discontinuities during children's therapy courses require explication.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".