Evidence map›Paper›PMID 34344800›Full record

ArticlePediatrics2021

Parents' Intentions and Perceptions About COVID-19 Vaccination for Their Children: Results From a National Survey.

Peter G Szilagyi, Megha D Shah, Jeanne R Delgado, Kyla Thomas, Nathalie Vizueta, Yan Cui, Sitaram Vangala, Rashmi Shetgiri, Arie Kapteyn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 6 pooled it
–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

181 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Social Media Misinformation about Pregnancy and COVID-19 Vaccines: A Systematic Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
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  18. "Black Is Not Monolithic": Complexities in COVID-19 Vaccine Decision-Making.Journal of racial and ethnic health disparities · 2025
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121 more citing papers are in PubMed but not listed here.

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

9 authors.

Peter G SzilagyiDepartment of Pediatrics, University of California, Los Angeles, UCLA Mattel Children's Hospital and University of California, Los Angeles, Los Angeles, California pszilagyi@mednet.ucla.edu.
Megha D ShahOffice of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, California.
Jeanne R DelgadoDepartment of Pediatrics, University of California, Los Angeles, UCLA Mattel Children's Hospital and University of California, Los Angeles, Los Angeles, California.
Kyla ThomasDornsife College of Letters, Arts and Sciences and Center for Economic and Social Research, University of Southern California, Los Angeles, California.
Nathalie VizuetaDepartment of Pediatrics, University of California, Los Angeles, UCLA Mattel Children's Hospital and University of California, Los Angeles, Los Angeles, California.
Yan CuiOffice of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, California.
Sitaram VangalaDepartment of Medicine Statistics Core, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Rashmi ShetgiriOffice of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, California.
Arie KapteynDornsife College of Letters, Arts and Sciences and Center for Economic and Social Research, University of Southern California, Los Angeles, California.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
NCATS NIH HHS UL1 TR001881NIA NIH HHS U01 AG054580NIH HHS 5U01 AG054580-03
6 · The paper itself

Abstract

objectivesAssess the degree to which US parents are likely to have their children get coronavirus disease 2019 (COVID-19) vaccines and identify parental concerns about the vaccines.

methodsIn February 2021 to March 2021, we surveyed parent members of a nationally representative probability-based Internet panel of ∼9000 adults regarding their intent to have their children receive a COVID-19 vaccination, perceptions of COVID-19 vaccines for children, and trust in sources of information about COVID-19 vaccines for children. We used descriptive and multivariate analyses to evaluate parent-stated likelihood of having their children get a COVID-19 vaccine and to assess the association between likelihood of child COVID-19 vaccination and child age, parent demographics, and parental perceptions about COVID-19 vaccines.

resultsAltogether, 1745 parents responded (87% of eligible parents, 3759 children). Likelihood of child COVID-19 vaccination was as follows: very likely (28%), somewhat likely (18%), somewhat unlikely (9%), very unlikely (33%), and unsure (12%). The stated likelihood of child vaccination was greater among parents of older children (

conclusionsLess than one-half of US participants report that they are likely to have their child receive a COVID-19 vaccine. Pediatric health care providers have a major role in promoting and giving COVID-19 vaccination for children.

Indexed as

COVID-19 VaccinesHealth Knowledge, Attitudes, PracticeIntentionAdolescentAdultChildChild, PreschoolCOVID-19FemaleHealth SurveysHumansMaleParentsSARS-CoV-2TrustUnited StatesCOVID-19 Vaccines

Identifiers

PMID34344800
PMCPMC10116994

What OpenQuestion holds

Textmetadata
LicenceTDM
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.