658Assessment of Knowledge, Awareness, and Attitudes Towards Pertussis and Pertussis Immunization Strategies in Post-Partum Mothers
Bibliographic record
Abstract
Background. Given increases in the incidence of pertussis, protective strategies for young infants are used (cocooning, maternal immunization), but there is limited data regarding two key areas for implementation - knowledge of pertussis in pregnant women, and their willingness to participate in various preventative campaigns. With increasing rates of pertussis in Manitoba and anticipating future public health needs should Manitoba move toward a maternal immunization strategy, we surveyed post-partum women on their knowledge and beliefs of infant pertussis and prevention strategies. Methods. Women were interviewed at the two obstetrical centers in Winnipeg. A survey was developed using the Health Belief Model, assessing knowledge level about pertussis, beliefs and attitudes towards pertussis immunizations, and willingness to participate in two protective strategies (third-trimester or mother only postpartum immunization). There was then an educational portion about pertussis and follow-up questions to determine whether this had changed their views. Results. Of 143 women surveyed over 8 months, 67% had a moderate knowledge score regarding pertussis and its risks; 55% of participants considered Tdap (tetanus-diphtheria-acellular pertussis) to be safe. Only 5% of women reported having discussed pertussis with their physician during their pregnancy. Fifty-seven percent of participants would have agreed to receive Tdap immediately post-partum, and 65% would consider Tdap in the third trimester of a subsequent pregnancy. There was a significant link between pertussis knowledge levels and intent to vaccinate (p < 0.001). Of 29 participants who disagreed with both protective strategies, 45% stated they would consider them after receiving the education about pertussis. Conclusion. A significant proportion of post-partum women had limited knowledge of infant pertussis disease; however prevention strategies were acceptable to a majority of surveyed women. A consideration to improve uptake of either strategy in Manitoba would be to increase the target population's knowledge and awareness of the significance of infant pertussis and the risks associated with pertussis infection, as well as the safety profile of the 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.005 | 0.001 |
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".