Evidence map›Paper›PMID 37069033›Full record

ArticleVaccine2023

Factors associated with COVID-19 vaccination during June-October 2021: A multi-site prospective study.

Reva S Datar, Lida M Fette, Amy N Hinkelman, E Adrianne Hammershaimb, DeAnna J Friedman-Klabanoff, Morgana Mongraw-Chaffin, William S Weintraub, Naheed Ahmed, Michael A Gibbs, Michael S Runyon and 6 more

Abstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

16 authors.

Reva S DatarCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Lida M FetteThe Biostatistics Center, George Washington University, Rockville, MD, USA.
Amy N HinkelmanJerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, NC, USA.
E Adrianne HammershaimbCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
DeAnna J Friedman-KlabanoffCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Morgana Mongraw-ChaffinDepartment of Epidemiology & Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
William S WeintraubMedStar Health Research Institute, Georgetown University, Washington, DC, USA.
Naheed AhmedCenter for Health Equity Research, MedStar Health Research Institute, Hyattsville, MD, USA.
Michael A GibbsAtrium Health, Charlotte, NC, USA.
Michael S RunyonAtrium Health, Charlotte, NC, USA.
Ian D PlumbCenters for Disease Control and Prevention (CDC), Atlanta, GA, USA.
William ThompsonCenters for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Sharon SaydahCenters for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Sharon L EdelsteinThe Biostatistics Center, George Washington University, Rockville, MD, USA.
Andrea A BerryCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: aberry@som.umaryland.edu.
COVID-19 Community Research Partnership

Funding

FELLOWSHIP TRAINING PROGRAM IN VACCINOLOGYT32AI007524 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI Marcelo B. Sztein · 1997 to 2026
$6.4M
Protein microarray antibody responses to P. falciparum in a human challenge modelK23AI125720 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI BERRY, ANDREA · 2017 to 2021
$915k
CDC HHS 75D30120C08405NIAID NIH HHS K23 AI125720NIAID NIH HHS T32 AI007524
6 · The paper itself

Abstract

introductionVaccine hesitancy presents a challenge to COVID-19 control efforts. To identify beliefs associated with delayed vaccine uptake, we developed and implemented a vaccine hesitancy survey for the COVID-19 Community Research Partnership.

methodsIn June 2021, we assessed attitudes and beliefs associated with COVID-19 vaccination using an online survey. Self-reported vaccination data were requested daily through October 2021. We compared responses between vaccinated and unvaccinated respondents using absolute standardized mean differences (ASMD). We assessed validity and reliability using exploratory factor analysis and identified latent factors associated with a subset of survey items. Cox proportional hazards models and mediation analyses assessed predictors of subsequent vaccination among those initially unvaccinated.

resultsIn June 2021, 29,522 vaccinated and 1,272 unvaccinated participants completed surveys. Among those unvaccinated in June 2021, 559 (43.9 %) became vaccinated by October 31, 2021. In June, unvaccinated participants were less likely to feel "very concerned" about getting COVID-19 than vaccinated participants (10.6 % vs. 43.3 %, ASMD 0.792). Among those initially unvaccinated, greater intent to become vaccinated was associated with getting vaccinated and shorter time to vaccination. However, even among participants who reported no intention to become vaccinated, 28.5 % reported vaccination before study end. Two latent factors predicted subsequent vaccination-being 'more receptive' was derived from motivation to protect one's own or others' health and resume usual activities; being 'less receptive' was derived from concerns about COVID-19 vaccines. In a Cox model, both factors were partially mediated by vaccination intention.

conclusionThis study characterizes vaccine hesitant individuals and identifies predictors of eventual COVID-19 vaccination through October 31, 2021. Even individuals with no intention to be vaccinated can shift to vaccine uptake. Our data suggest factors of perceived severity of COVID-19 disease, vaccine safety, and trust in the vaccine development process are predictive of vaccination and may be important opportunities for ongoing interventions.

Indexed as

COVID-19 VaccinesVaccination HesitancyAdultAgedFemaleHumansInformation SourcesMaleMiddle AgedRegression AnalysisSociodemographic FactorsTime FactorsTrustCOVID-19 VaccinesCOVID-19COVID-19 vaccine hesitancyCOVID-19 vaccinesSARS-CoV-2

Identifiers

PMID37069033
PMCPMC10063571

What OpenQuestion holds

Textmetadata
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.