Evidence map›Paper›PMID 34732157›Full record

ArticleBMC pregnancy and childbirth2021

Acceptance of seasonal influenza vaccination and associated factors among pregnant women in the context of COVID-19 pandemic in China: a multi-center cross-sectional study based on health belief model.

Ruitong Wang, Liyuan Tao, Na Han, Jihong Liu, Chuanxiang Yuan, Lixia Deng, Chunhua Han, Fenglan Sun, Liqun Chi, Min Liu and 1 more

Abstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Knowledge and attitudes of pregnant women about COVID-19 vaccination.Revista latino-americana de enfermagem · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

11 authors.

Ruitong WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China.
Liyuan TaoResearch Center of Clinical Epidemiology, Peking University Third Hospital, No.49 Huayuan North Road, Haidian District, Beijing, 100083, China.
Na HanTongzhou Maternal and Child Health Hospital, No.38 Yuqiao Middle Road, Tongzhou District, Beijing, 101100, China.
Jihong LiuThe Second Affiliated Hospital of Kunming Medical University, No. 374 Dianmian Avenue, Kunming, 650101, Yunnan Province, China.
Chuanxiang YuanQianjiang Maternal and Child Health Hospital, 122 Jiefang Road, Qianjiang City, 43100, Hubei Province, China.
Lixia DengQianjiang Central Hospital, No. 22 Zhanghua Middle Road, Qianjiang City, 433100, Hubei Province, China.
Chunhua HanQujing Maternal and Child Health Hospital, No. 371 liaokuo South Road, Qilin District, Qujing City, 655000, Yunnan Province, China.
Fenglan SunShexian Maternal and Child Health Hospital, No. 237 Zhenxing Road, shecheng Town, Shexian City, 056400, Hebei Province, China.
Liqun ChiHaidian Maternal and Child Health Hospital, No. 33 Haidian South Road, Haidian District, Beijing, 100080, China.
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China. jueliu@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeasonal influenza can circulate in parallel with coronavirus disease (COVID-19) in winter. In the context of COVID-19 pandemic, the risk of co-infection and the burden it poses on healthcare system calls for timely influenza vaccination among pregnant women, who are the priority population recommended for vaccination. We aimed to evaluate the acceptance of influenza vaccination and associated factors among pregnant women during COVID-19 pandemic, provide evidence to improve influenza vaccination among pregnant women, help reduce the risk of infection and alleviate the burden of healthcare system for co-infected patients.

methodsWe conducted a multi-center cross-sectional study among pregnant women in China. Sociodemographic characteristics, health status, knowledge on influenza, attitude towards vaccination, and health beliefs were collected. Locally weighted scatterplot smoothing regression analysis was used to evaluate the trends in the acceptance of influenza vaccine. Logistic regression was applied to identify factors associated with vaccination acceptance.

resultsThe total acceptance rate was 76.5% (95%CI: 74.8-78.1%) among 2568 pregnant women enrolled. Only 8.3% of the participants had a history of seasonal influenza vaccination. In the logistic regression model, factors associated with the acceptance of influenza vaccine were western region, history of influenza vaccination, high knowledge of influenza infection and vaccination, high level of perceived susceptibility, perceived benefit, cues to action and low level of perceived barriers. Among 23.5% of the participants who had vaccine hesitancy, 48.0% of them were worried about side effect, 35.6% of them lacked confidence of vaccine safety.

conclusionsOur findings highlighted that tailored strategies and publicity for influenza vaccination in the context of COVID-19 pandemic are warranted to reduce pregnant women's concerns, improve their knowledge, expand vaccine uptake and alleviate pressure for healthcare system.

Indexed as

PandemicsAdultChinaComorbidityCOVID-19Cross-Sectional StudiesFemaleHealth Belief ModelHealth Knowledge, Attitudes, PracticeHumansInfluenza A virusInfluenza, HumanInfluenza VaccinesPatient Acceptance of Health CarePregnancyPregnancy Complications, InfectiousInfluenza VaccinesAcceptanceAssociated factorsCOVID-19Influenza vaccinationPregnant women

Identifiers

PMID34732157
PMCPMC8564270

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.