Evidence map›Paper›PMID 36851330›Full record

ArticleVaccines2023

Factors Associated with Anti-SARS-CoV-2 Vaccine Acceptance among Pregnant Women: Data from Outpatient Women Experiencing High-Risk Pregnancy.

Marianna Maranto, Giuseppe Gullo, Alessandra Bruno, Giuseppa Minutolo, Gaspare Cucinella, Antonio Maiorana, Alessandra Casuccio, Vincenzo Restivo

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Marianna MarantoHCU Obstetrics and Gynecology, ARNAS Ospedale Civico Di Cristina-Benfratelli Hospital, 90127 Palermo, Italy.
Giuseppe GulloIVF Unit, Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy.ORCID 0000-0003-4269-4269
Alessandra BrunoDepartment of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE) "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy.
Giuseppa MinutoloDepartment of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE) "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy.
Gaspare CucinellaIVF Unit, Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy.
Antonio MaioranaHCU Obstetrics and Gynecology, ARNAS Ospedale Civico Di Cristina-Benfratelli Hospital, 90127 Palermo, Italy.ORCID 0000-0001-7122-6136
Alessandra CasuccioDepartment of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE) "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-5676-9535
Vincenzo RestivoDepartment of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE) "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-5406-884X
University of Palermo · ITAzienda di Rilievo Nazionale ed Alta Specializzazione · ITOspedale Vincenzo Cervello · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant women are at higher risk of severe Coronavirus disease 2019 (COVID-19) complications than non-pregnant women. The initial exclusion of pregnant women from anti-SARS-CoV-2 vaccines clinical trials has caused a lack of conclusive data about safety and efficacy for this vulnerable population. This cross-sectional study aims to define the factors related to vaccination adherence in a sample of women experiencing high-risk pregnancies. The recruited women completed a questionnaire based on the Health Belief Model. Data were analyzed to evaluate the associations between socio-demographic variables and vaccination acceptance through descriptive, univariate and multivariate logistic analyses. Among the 233 women enrolled, 65.2% (n = 152) declared that they would accept the anti-SARS-CoV-2 vaccine. Multivariate analysis showed that vaccination acceptance was associated with a high educational level (aOR = 4.52,

Indexed as

anti-SARS-CoV-2 vaccinationbarriercommunicationCOVIDeducational levelgynecologistHealth Belief Modelhigh-risk pregnant womenvaccine acceptancevaccine hesitancy

Identifiers

PMID36851330
PMCPMC9966581
OpenAlexW4321094181

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.