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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.
Tao, Liyuan; Wang, Ruitong; Han, Na; Liu, Jihong; Yuan, Chuanxiang; Deng, Lixia; Han, Chunhua; Sun, Fenglan; Liu, Min; Liu, Jue.
  • Tao L; Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
  • Wang R; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Han N; Department of Obstetrics, Tongzhou Maternal and Child Health Hospital, Beijing, China.
  • Liu J; Department of Obstetrics, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
  • Yuan C; Department of Obstetrics, Qianjiang Maternal and Child Health Hospital, Qianjiang City, Hubei Province, China.
  • Deng L; Department of Obstetrics, Qianjiang Central Hospital, Qianjiang City, Hubei Province, China.
  • Han C; Department of Obstetrics, Qujing Maternal and Child Health Hospital, Qujing City, Yunnan Province, China.
  • Sun F; Department of Obstetrics, Shexian Maternal and Child Health Hospital, Shexian City, Hebei Province, China.
  • Liu M; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Liu J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Hum Vaccin Immunother ; 17(8): 2378-2388, 2021 08 03.
Article in English | MEDLINE | ID: covidwho-1228401
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Female / Humans / Pregnancy Country/Region as subject: Asia Language: English Journal: Hum Vaccin Immunother Year: 2021 Document Type: Article Affiliation country: 21645515.2021.1892432

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Female / Humans / Pregnancy Country/Region as subject: Asia Language: English Journal: Hum Vaccin Immunother Year: 2021 Document Type: Article Affiliation country: 21645515.2021.1892432