Influenza immunization of chronically ill children in pediatric tertiary care hospitals
Bibliographic record
Abstract
Despite a publicly funded immunization program and continuous promotional efforts, vaccine uptake for seasonal influenza in Quebec (Canada) remains under its goal of 80%. Missed opportunities can explain the low influenza vaccine rates among chronically ill children. To address that, demonstration projects using the live attenuated influenza vaccine (LAIV) were implemented in 3 pediatric tertiary care hospitals to evaluate the feasibility and acceptability of implementing influenza immunization of chronically ill children in hospitals' outpatient clinics. A diary was used to document barriers and enabling factors regarding the implementation, and a questionnaire was distributed to healthcare professionals involved in the project in each hospital. Parent's knowledge, attitudes and behaviors (KAB) about influenza immunization and acceptability of immunization in outpatient clinics were also measured with a questionnaire. As part of the project, 2,478 children were immunized. Enabling factors included the financial support received from Quebec ministry of Health, the nasal mode of administration of the LAIV and the presence of a leader specifically dedicated to influenza immunization. Barriers to influenza immunization in outpatient clinics included difficulties of hiring extra staff to work in immunization clinics and additional tasks added to regular activities of the clinics. Results from both questionnaires illustrated a high level of acceptability of seasonal influenza immunization in hospitals' outpatient clinics by parents and healthcare professionals. Influenza immunization in pediatric tertiary care hospital is an effective way to reach chronically ill children and does not involve major feasibility or acceptability issues.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".