Antidepressant prescribing in Irish children: secular trends and international comparison in the context of a safety warning
Bibliographic record
Abstract
BACKGROUND: In 2003, the Irish Medicines Board (IMB) warned against the treatment of childhood depression with selective serotonin reuptake inhibitors (SSRIs) due to increased risk of suicide. This study examined the effect of this warning on the prevalence of anti-depressants in Irish children and compared age and gender trends and international comparisons of prescription rates. METHODS: A retrospective cohort study of the Irish Health Service Executive (HSE) pharmacy claims database for the General Medical Services (GMS) scheme for dispensed medication. Data were obtained for 2002-2011 for those aged ≤ 15 years. Prevalence of anti-depressants per 1000 eligible population, along with 95% confidence intervals, were calculated. A negative binomial regression analysis was used to investigate trends and compare rates across years, sex and age groups (0-4, 5-11, 12-15 years). International prescribing data were retrieved from the literature. RESULTS: The prevalence of anti-depressants decreased from 4.74/1000 population (95% CI: 4.47-5.01) in 2002 to 2.61/1000 population (95% CI: 2.43-2.80) in 2008. SSRI rates decreased from 2002 to 2008. Prescription rates for contra-indicated SSRIs paroxetine, sertraline and citralopram decreased significantly from 2002 to 2005, and, apart from paroxetine, only small fluctuations were seen from 2005 onwards. Fluoxetine was the most frequently prescribed anti-depressant and rates increased between 2002 and 2011. Anti-depressant rates were higher for younger boys and older girls. The Irish prevalence was lower than the US, similar to the U.K. and higher than Germany and Denmark. CONCLUSIONS: The direction and timing of these trends suggest that medical practitioners followed the IMB advice.
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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 | 0.000 | 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".