Perinatal health care providers’ approaches to recommending and providing pertussis vaccination in pregnancy: a qualitative study
Bibliographic record
Abstract
BACKGROUND: In 2018, the Canadian National Advisory Committee on Immunization and the Society of Obstetricians and Gynaecologists of Canada recommended a single dose of tetanus toxoid, reduced diphtheria toxoid and reduced acellular pertussis (Tdap) vaccine in every pregnancy. To understand how perinatal health care providers in Canada are translating recent recommendations for universal antenatal Tdap vaccine into routine clinical practice, we examined health care providers' perceptions of what influences their ability to recommend and provide Tdap vaccine consistently to pregnant women. METHODS: Between June 2018 and July 2019, we conducted semistructured telephone interviews with perinatal health care providers (nurses, midwives, family physicians and obstetricians) from 5 provinces (British Columbia, Manitoba, Ontario, Quebec and Nova Scotia) representing diverse educational experiences, practice settings and models of care. We analyzed the data using interpretive description. RESULTS: We interviewed 44 perinatal health care providers (13 family physicians, 12 midwives, 10 obstetricians and 9 nurses) practising in a variety of settings. Health care providers' ability to recommend and provide antenatal Tdap vaccine was strongly influenced by structural constraints in the Canadian perinatal health care system. The participants' clinical training varied, which resulted in different knowledge and practices. Participants felt hindered by a lack of lay information resources. Consistent and convenient vaccine access was perceived to be key to promoting confidence and encouraging uptake, yet antenatal Tdap vaccine was not easily accessible for all women. INTERPRETATION: Our findings suggest that Canada's fragmented health care model has a detrimental effect on health care providers' ability to recommend and ensure access to antenatal Tdap vaccine. Lessons from this study are pertinent to the implementation of successful pertussis vaccine programs and future pregnancy vaccination initiatives.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".