Evidence map›Paper›PMID 35534311›Full record

ArticleVaccine2022

Flu and pertussis vaccination during pregnancy in Geneva during the COVID-19 pandemic: A multicentric, prospective, survey-based study.

M Lumbreras Areta, A Valiton, A Diana, M Morales, J Wiederrecht-Gasser, S Jacob, A Chilin, S Quarta, C Jaksic, J R Vallarta-Robledo and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

M Lumbreras AretaDepartment of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva (HUG), Geneva, Switzerland.
A ValitonHôpital de la Tour, Geneva, Switzerland.
A DianaFaculty of Medicine, University of Geneva, Switzerland; Clinique des Grangettes, Geneva, Switzerland.
M MoralesClinique Générale Beaulieu, Geneva, Switzerland.
J Wiederrecht-GasserMaison de naissance la Roseraie, Geneva, Switzerland.
S JacobClinique des Grangettes, Geneva, Switzerland.
A ChilinDepartment of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva (HUG), Geneva, Switzerland.
S QuartaDepartment of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva (HUG), Geneva, Switzerland.
C JaksicFaculty of Medicine, University of Geneva, Switzerland; CRC and Division of Clinical Epidemiology, Department of Health and Community Medicine, University Hospitals of Geneva (HUG), Switzerland.
J R Vallarta-RobledoFaculty of Medicine, University of Geneva, Switzerland; Unit of Population Epidemiology, Department of Primary Care, University Hospitals of Geneva (HUG), Geneva, Switzerland.
B Martinez de TejadaDepartment of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva (HUG), Geneva, Switzerland; Faculty of Medicine, University of Geneva, Switzerland. Electronic address: Begona.MartinezDeTejada@hcuge.ch.
University Hospital of Geneva · CHUniversity of Geneva · CHGénérale-Beaulieu Clinic · CHHirslanden Clinique des Grangettes · CHHôpital de la Tour · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine pertussis and influenza vaccination coverage during pregnancy among women delivering in all the maternities of Geneva (Switzerland), during the COVID-19 pandemic.

methodsAll women delivering in all the maternity centres of the canton of Geneva from 1st November 2020 to 30th November 2020 (beginning of the flu vaccination season) and from 8th March 2021 to 7th April 2021 (end of the flu vaccination season) had their records checked upon admission to the labour ward regarding pertussis and influenza vaccination during pregnancy. Reasons for non-vaccination were recorded. Univariate and multivariate analyses were done to identify predictors of vaccine uptake.

results951 women delivered in Geneva during the two study periods, of which 950 were included in the study. 86.2% were vaccinated against pertussis, with no significant difference between the study periods (87.5% vs 85% at the beginning and end of the flu vaccination season respectively). 49.8% were vaccinated against influenza, with no significant difference between the study periods (48.8% vs 50.7% beginning and end of the flu vaccination season respectively). The influenza vaccine was 5 times more likely not to be proposed (8.9% vs. 1.7%) and 3 times more likely to be refused (26.6% vs. 8%) than the pertussis vaccine. Main reason for refusal was a lack of maternal desire for both vaccines, but not vaccine fear. Maternal parity ≥ 1 was significantly associated with pertussis vaccine uptake at univariate analysis. Women were significantly more likely to accept the influenza vaccine if they had a university degree or if they did not deliver in a midwife-only run delivery unit in both univariate and multivariate analysis.

conclusionsIn Geneva, most gynaecologists offer pertussis immunization during antenatal care and uptake is high, but more efforts must be done to increase influenza vaccination coverage. Education level impacts maternal flu vaccination uptake, but other social disparities did not.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesPregnancy Complications, InfectiousWhooping CoughFemaleHumansPandemicsPertussis VaccinePregnancyProspective StudiesVaccinationInfluenza VaccinesPertussis VaccineFluInfluenzaPertussisPregnancyVaccine

Identifiers

PMID35534311
PMCPMC9076028
OpenAlexW4229032779

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.