Factors Associated with Anti-SARS-CoV-2 Vaccine Acceptance among Pregnant Women: Data from Outpatient Women Experiencing High-Risk Pregnancy.
Marianna MarantoGiuseppe GulloAlessandra BrunoGiuseppa MinutoloGaspare CucinellaAntonio MaioranaAlessandra CasuccioVincenzo RestivoPublished in: Vaccines (2023)
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, p = 0.001), a low perception of barriers to vaccination (aOR = 1.58, p = 0.005) and the gynecologist's advice (aOR = 3.18, p = 0.01). About a third of pregnant women are still hesitant about the anti-SARS-CoV-2 vaccine, probably because of the conflicting information received from media, friends, acquaintances and health institutions. Determining factors linked to vaccine hesitancy among pregnant women is useful for creating vaccination strategies that increase vaccination uptake.
Keyphrases
- sars cov
- pregnant women
- pregnancy outcomes
- respiratory syndrome coronavirus
- coronavirus disease
- polycystic ovary syndrome
- clinical trial
- healthcare
- electronic health record
- public health
- data analysis
- big data
- health information
- mental health
- cross sectional
- breast cancer risk
- cervical cancer screening
- adipose tissue
- insulin resistance
- early onset
- risk assessment
- randomized controlled trial
- artificial intelligence
- climate change
- human health
- open label
- weight loss