COVID-19 Vaccination Status among Pregnant and Postpartum Women-A Cross-Sectional Study on More Than 1000 Individuals.
Urszula NowackaPaulina MalarkiewiczJanusz SierdzinskiAleksandra JanuszaniecSzymon KozłowskiTadeusz IssatPublished in: Vaccines (2022)
Pregnancy is a well-known factor for vaccine hesitancy and immunization remains the most effective form of prevention against coronavirus disease (COVID-19) related complications. The objective was to estimate vaccine uptake and hesitancy rate, characteristics, and factors contributing to a decision-making process among pregnant and postpartum individuals. This was a prospective cross-sectional study on 1033 pregnant (54.1%) and postpartum (45.9%) women conducted between December 2021 and March 2022 in a tertiary center for maternal-fetal medicine. Logistic regression was used to assess characteristics related to the vaccination decision process. Among responders, 74% were vaccinated and 26% were hesitant (9% planning to vaccinate and 17% totally opposed). Only 59.8% were offered a vaccine by healthcare professionals. Women with higher levels of education (OR 2.26, p < 0.0001), who received positive feedback about vaccination (OR 2.74, p = 0.0172), or were informed about COVID-19 complications in pregnancy (OR 2.6, p < 0.0001) were most likely to accept the vaccination. Hesitancy was associated with multiparity (≥3, OR 4.76, p = 0.006), worse educational status (OR 2.29, p < 0.0001), and lack of previous COVID-19 infection (OR 1.89, p < 0.0001). The most common reason for rejection was insufficient safety data (57%). Understanding factors behind vaccination status is crucial in lowering complications in mothers and newborns and targeted action may facilitate the uptake.
Keyphrases
- coronavirus disease
- pregnancy outcomes
- pregnant women
- sars cov
- decision making
- risk factors
- polycystic ovary syndrome
- respiratory syndrome coronavirus
- healthcare
- preterm birth
- metabolic syndrome
- cancer therapy
- birth weight
- adipose tissue
- quality improvement
- preterm infants
- machine learning
- gestational age
- low birth weight
- drug delivery
- skeletal muscle
- body mass index
- cord blood