The use of short‐acting beta‐2 adrenergic receptor agonists for asthma increased among Finnish and Swedish children from 2006 to 2017
Bibliographic record
Abstract
AIM: Paediatric asthma hospitalisation has decreased in Finland, but has remained stable in Sweden. The reasons for these intercountry differences are unclear. The aim of this study was to explore the trend of dispensed asthma medication, including inhaled corticosteroids (ICS), among paediatric populations in the two countries. METHODS: We explored trends in dispensed asthma medication among paediatric populations aged 0-19 in Finland and Sweden from 2006 to 2017. The Finnish Statistics on Reimbursements for Prescription Medicines and The Swedish Prescribed Drug Register provided data on all dispensed asthma prescriptions. RESULTS: During the study period, the prevalence of dispensed ICS in paediatric populations was fairly stable in Finland and Sweden. Among children aged 0-4, ICS were 1.5 times more commonly dispensed in Sweden than in Finland. The prevalence of children dispensed short-acting beta-2 adrenergic receptor agonists (SABA) increased in both countries, but rose more in Finland (51%) than in Sweden (27%). CONCLUSION: Inhaled corticosteroids were more commonly dispensed for children aged 0-4 in Sweden than in Finland during the study period. This study showed an increasing prevalence of children dispensed SABA in Finland and Sweden, particularly in Finland. Differences and trends in asthma medication may effect asthma hospitalisation and asthma deaths.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".