Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2021 Aug 3;17(8):2378-2388.
doi: 10.1080/21645515.2021.1892432. Epub 2021 May 14.

Acceptance of a COVID-19 vaccine and associated factors among pregnant women in China: a multi-center cross-sectional study based on health belief model

Liyuan Tao  1 , Ruitong Wang  2 , Na Han  3 , Jihong Liu  4 , Chuanxiang Yuan  5 , Lixia Deng  6 , Chunhua Han  7 , Fenglan Sun  8 , Min Liu  2 , Jue Liu  2   9
Affiliations
Multicenter Study

Acceptance of a COVID-19 vaccine and associated factors among pregnant women in China: a multi-center cross-sectional study based on health belief model

Liyuan Tao et al. Hum Vaccin Immunother. .

Abstract

Background: Vaccine hesitancy has been recognized as an urgent public health issue. We aimed to explore the acceptance of a COVID-19 vaccine and related factors among pregnant women, a vulnerable population for vaccine-preventable diseases.Methods: A multi-center cross-sectional study among pregnant women was conducted in five provinces of mainland China from November 13 to 27, 2020. We collected sociodemographic characteristics, attitude, knowledge, and health beliefs on COVID-19 vaccination. Locally weighted scatterplot smoothing regression analysis was used to assess the trends of vaccination acceptance. Multivariable logistic regression was performed to identify factors related to vaccination acceptance.Results: Among the 1392 pregnant women, the acceptance rate of a COVID-19 vaccine were 77.4% (95%CI 75.1-79.5%). In the multivariable regression model, the acceptance rate was associated with young age (aOR = 1.87, 95% CI: 1.20-2.93), western region (aOR = 2.73, 95% CI: 1.72-4.32), low level of education (aOR = 2.49, 95% CI: 1.13-5.51), late pregnancy (aOR = 1.49, 95% CI: 1.03-2.16), high knowledge score on COVID-19 (aOR = 1.05, 95% CI: 1.01-1.10), high level of perceived susceptibility (aOR = 2.18, 95% CI: 1.36-3.49), low level of perceived barriers (aOR = 4.76, 95% CI: 2.23-10.18), high level of perceived benefit (aOR = 2.18, 95% CI: 1.36-3.49), and high level of perceived cues to action (aOR = 15.70, 95% CI: 8.28-29.80).Conclusions: About one quarters of pregnant women have vaccine hesitancy. Our findings highlight that targeted and multipronged efforts are needed to build vaccine literacy and confidence to increase the acceptance of a COVID-19 vaccine during the COVID-19 pandemic, especially for vulnerable populations.

Keywords: COVID-19; acceptance; pregnant women; vaccine; vaccine hesitancy.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
The trends in the acceptance of a COVID-19 vaccine and the total knowledge score on COVID-19 by locally weighted scatterplot smoothing regression analysis
Figure 2.
Figure 2.
The acceptance of a COVID-19 vaccine by five dimensions of health beliefs model (n = 1392)
Figure 3.
Figure 3.
Reasons for responding “No” or “Not sure” regarding intend to be vaccinated with a COVID-19 vaccine (n = 315)
See this image and copyright information in PMC

References

    1. World Health Organization . COVID-19 weekly epidemiological update. Data as received by WHO from national authorities, as of 22 November 2020, 10 am CET. 2020 [accessed 2014 Jan 20]https://www.who.int/publications/m/item/weekly-epidemiological-update—24...
    1. Anderson RM, Vegvari C, Truscott J, Collyer BS.. Challenges in creating herd immunity to SARS-CoV-2 infection by mass vaccination. Lancet. 2020;396:1614–16. - PMC - PubMed
    1. Brisson M, É B, Drolet M, Bogaards JA, Baussano I, Vänskä S, Jit M, Boily M, Smith MA, Berkhof J, et al. Population-level impact, herd immunity, and elimination after human papillomavirus vaccination: a systematic review and meta-analysis of predictions from transmission-dynamic models. Lancet Public Health. 2016;1(1):e8–e17. - PMC - PubMed
    1. Iwasaki A, Omer SB. Why and how vaccines work. Cell. 2020;183:290–95. - PMC - PubMed
    1. World Health Organization . Draft landscape of COVID-19 candidate vaccines, 12November2020 [accessed 2014 Jan 20]. https://www.who.int/publications/m/item/draft-landscape-of-covid-19-cand....

Publication types

LinkOut - more resources