664Influenza Vaccination in Chronically Ill Children: Taking a Closer Look at LAIV
Bibliographic record
Abstract
Background. Children with underlying chronic conditions are sub-optimally vaccinated against influenza, even if influenza vaccines (IV) are publicly funded. Since 2012, the province of Quebec has recommended live-attenuated IV (LAIV) as the preferred vaccine for children with non-immunocompromising conditions. For a second consecutive year, an influenza vaccination clinic was set up in our pediatric tertiary care hospital. We aimed to compare this clinic's results to last year's and evaluate patients' preference for LAIV vs trivalent inactivated IV (TIV). Methods. Between October 15 and December 24 of each year (2012 and 2013), a vaccination clinic was opened weekdays during working hours and staffed with vaccine nurses. TIV and LAIV were available. Parents were asked to fill a pre-piloted questionnaire. Descriptive statistics were used. Results. During both years, we reached 630 patients with chronic illnesses accounting for 9% of the total outpatient visits for that time of year. In 2013, 264 (44%) were between 2 and 9 years, 257 (43%) were aged 9 to 18 years and 75 (13%) of vaccinated patients were immunosuppressed. Of the 623 participants for whom the information was available, 378 (61%) had received their IV in the previous year and in 49% (172/348), had received it in our vaccination clinic. For 122 of 603 parents who answered (20%), the presence of this vaccination clinic was instrumental in their child receiving their IV. In 2012, 437 of 588 patients aged 2 years and over (74%) were vaccinated with LAIV, compared to 348 of 512 (68%) this year (p = 0.02). These represented 79% of LAIV eligible children (n = 442). Of 360 patients previously vaccinated, 103 (29%) had received LAIV the year before and 88% chose to be vaccinated again with LAIV this year. LAIV was preferred by caregivers (n = 341) because it was perceived as less painful (49%), no needle was involved (41%) and in 42% because of their physician's recommendation. Additionally, 487 household members were vaccinated in 2013. Conclusion. Yearly influenza vaccination coverage in children with chronic illnesses can be improved with a vaccination clinic on site at a tertiary centre. Household members are also reached through this strategy. When LAIV is not contra-indicated, it remains caregivers' and patients' preferred vaccine. Disclosures. All authors: No reported disclosures.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".