Evidence map›Paper›PMID 37333535›Full record

ArticleFrontiers in public health2023

Immunization during pregnancy: do healthcare workers recommend vaccination against influenza?

Francesca Licata, Concetta Paola Pelullo, Giorgia Della Polla, Emma Antonia Citrino, Aida Bianco

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Factors Associated With Influenza Vaccination During Pregnancy: A Real-World Evidence-Based Study.Inquiry : a journal of medical care organization, provision and financing
    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

5 authors at 3 institutions in 1 country.

Francesca LicataDepartment of Health Sciences, School of Medicine, University of Catanzaro "Magna Graecia", Catanzaro, Italy.
Concetta Paola PelulloDepartment of Movement Sciences and Wellbeing, University of Naples "Parthenope", Naples, Italy.
Giorgia Della PollaHealth Direction, Teaching Hospital, University of Campania "Luigi Vanvitelli", Naples, Italy.
Emma Antonia CitrinoDepartment of Health Sciences, School of Medicine, University of Catanzaro "Magna Graecia", Catanzaro, Italy.
Aida BiancoDepartment of Health Sciences, School of Medicine, University of Catanzaro "Magna Graecia", Catanzaro, Italy.
Magna Graecia University · ITParthenope University of Naples · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A variety of circumstances can influence how widely vaccination during pregnancy is accepted. Healthcare workers (HCWs) are often seen as the main resource for recommending vaccination. The purpose of the current study was to determine whether Italian HCWs advise and recommend pregnant people to receive the influenza vaccinations, as well as what knowledge and attitudes affect their practices. A secondary aim of the study was to evaluate HCWs' knowledge and attitudes towards COVID-19 vaccination. Methods: This cross-sectional study, took place between August 2021 and June 2022 in a randomly selected sample of HCWs in three Italian regions. The target population comprised obstetricians-gynecologists, midwives and primary care physicians, who provide medical care to pregnant people. The questionnaire consisted of 19 items divided into 5 parts gathered information about the participants' sociodemographic and professional characteristics, general knowledge about vaccinations during pregnancy, and vaccine-preventable diseases (VPDs), attitudes and practices towards immunization, and strategies to potentially increase vaccination uptake during pregnancy. Results: Among the participants, 78.3% knew that pregnant people are at increased risk of severe complications from influenza, 57.8% that the influenza vaccine is not provided only in the 2nd/3rd trimester of pregnancy and 60% that pregnancy is a risk factor for severe COVID-19 infection. Of the enrolled HCWs, 10.8% believed that the potential risks of vaccines administered during pregnancy are greater than the benefits. An even higher proportion of the participants was unsure (24.3%) or did not deem (15.9%) that vaccinating against influenza during pregnancy reduces the risk of preterm birth and abortion. Moreover, 11.8% of the sample did not believe or was uncertain that COVID-19 vaccine must be offered to all pregnant people. Among HCWs, 71.8% advised women about influenza vaccination during pregnancy, and 68.8% recommended getting vaccinated against influenza during pregnancy. Results showed that good knowledge and positive attitudes were the strongest factors positively associated with advising women about influenza vaccination during pregnancy. Conclusion: The gathered data showed that a sizable portion of the HCWs lacks up-to-date knowledge, underestimates the risks of contracting a VPD, and overestimates the risks of vaccine side effects during pregnancy. The findings shed light on such attributes useful to promote adherence to evidence-based recommendations among HCWs.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesPremature BirthCOVID-19 VaccinesCross-Sectional StudiesFemaleHealth PersonnelHumansImmunizationInfant, NewbornPregnancyVaccinationCOVID-19 VaccinesInfluenza VaccinesCOVID-19 vaccinehealthcare workersimmunizationinfluenza vaccinepregnancyvaccine preventable diseases

Identifiers

PMID37333535
PMCPMC10272812
OpenAlexW4379958634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.