Point of Care (POC) Influenza Immunization for Pregnant Women, Calgary Zone, Alberta Health Services
Bibliographic record
Abstract
IntroductionVaccinating pregnant patients for neonatal protection needs to be integrated into prenatal care as new vaccines emerge. Uptake of influenza vaccine, universally recommended in pregnancy, is low. Immunization was offered and administered to pregnant women at point of care (POC) during two flu seasons at an urban tertiary care center.
 Objectives and ApproachPrimary objective is to determine if POC impacts immunization rate during flu season among a cohort of pregnant women by location and gestational age. Secondary objectives are to examine the pattern of influenza-like illnesses (ILI) among vaccinated and unvaccinated women, and to describe pilot outcomes of POC. Four consecutive influenza seasons (2014/2015, 2015/2016, 2016/2017, 2017/2018) will be examined using seven databases: a) Clinibase, b) National Ambulatory Care Reporting System; C) Discharge Abstract Database; d) Physician Claims; e) Alberta Perinatal Health Program; f) Calgary Zone Public Health; and g) Pharmaceutical Information Network. Outcomes will be examined descriptively using frequencies and proportions.
 ResultsBased on the preliminary analysis, approximately 10, 000 visits among 2,500 women occurred during each flu season at the four obstetric care locations: two outpatient clinics and two inpatient units. The proportion of pregnant women who received the flu vaccine ranged from 15-21% during the first three flu seasons. Majority of the women received the vaccine at the flu campaigns (range 48-67%), followed by pharmacy (20-32%). For the 2017-2018 season, year to date uptake rates in outpatient clinics are significantly higher. Final results on additional outcomes will be available by September 2018.
 Conclusion/ImplicationsIn completing this study, we hope to better understand the patterns of immunization uptake in pregnancy by place of immunization and gestational age, i.e. identifying optimal “window of opportunity”. Results will inform the infrastructure needed to collect data on vaccines administered during pregnancy and linkage to maternal and infant outcomes.
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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 | 0.001 |
| 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 | 0.000 | 0.002 |
| Open science | 0.001 | 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".