Children With Febrile Seizures Do Not Consume Excess Health Care Resources
Bibliographic record
Abstract
BACKGROUND: Febrile seizures are benign but so terrifying for parents that they may subsequently view their affected children as "vulnerable". Children viewed as vulnerable may be brought to medical attention more frequently. We examined subsequent hospitalizations and physician visits during a 6- to 7 1/2-year period for a group of children who had participated in a case-control study of initial febrile seizures. METHODS: Individual data from a regional cohort of 75 children with a first febrile seizure and 150 febrile and 150 afebrile controls were linked to 2 comprehensive provincial health services databases-a hospital admissions/ separations database and a physician services database. RESULTS: Linkage was achieved for 98% of the study cohort, with heath care utilization data for 6 to 7 1/2 years available for 96%. Children with febrile seizures had nearly identical rates of subsequent hospitalization compared with age-matched controls (chi2 test, P = .88). An excess of day-surgery visits for primarily otolaryngologic procedures was seen for the febrile seizure patients 0 to 12 months after their initial febrile seizure (chi2 test, P < .001). During the next 6 to 7 1/2 years, the febrile seizure patients had nearly identical rates of physician visits (chi2 test, P = .15); however, they had more visits to otolaryngologists in the first 3 to 9 months after the febrile seizure (chi2 test, P < .001), but fewer visits to pediatricians during the next 1 to 4 years (chi2 test, P < .001). CONCLUSIONS: Children with febrile seizures have nearly identical rates of hospital and physician services utilization compared with controls. This supports the hypothesis that febrile seizures are benign, and that parents recover from their initial anxiety and do not consider their children vulnerable to additional illness in the years that follow.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".