Evidence map›Paper›PMID 36746740›Full record

ArticleVaccine2023

Real-world uptake of COVID-19 vaccination among individuals expressing vaccine hesitancy: A registry-linkage study.

Kristin L Andrejko, Jennifer F Myers, Nozomi Fukui, Lauren Nelson, Rui Zhao, John Openshaw, James P Watt, Seema Jain, Joseph A Lewnard, Jake M Pry and 1 more

Open access · hybridAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Kristin L AndrejkoCalifornia Department of Public Health, Richmond, CA, United States; Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA, United States.
Jennifer F MyersCalifornia Department of Public Health, Richmond, CA, United States.
Nozomi FukuiCalifornia Department of Public Health, Richmond, CA, United States.
Lauren NelsonCalifornia Department of Public Health, Richmond, CA, United States.
Rui ZhaoCalifornia Department of Public Health, Richmond, CA, United States.
John OpenshawCalifornia Department of Public Health, Richmond, CA, United States.
James P WattCalifornia Department of Public Health, Richmond, CA, United States.
Seema JainCalifornia Department of Public Health, Richmond, CA, United States.
Joseph A LewnardDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA, United States; Division of Infectious Diseases & Vaccinology, School of Public Health, University of California, Berkeley, CA, United States; Center for Computational Biology, College of Engineering, University of California, Berkeley, CA, United States. Electronic address: jlewnard@berkeley.edu.
Jake M PryCalifornia Department of Public Health, Richmond, CA, United States; Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, United States. Electronic address: jmpry@ucdavis.edu.
California COVID-19 Case-Control Study Team
California Department of Public Health · USUniversity of California, Berkeley · US

Funding

Emerging methods and applications for test-negative studies of of infectious disease interventionsR01AI148127 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI JEWELL, NICHOLAS P · 2020 to 2023
$1.8M
NCEZID CDC HHS U01 CK000539NIAID NIH HHS R01 AI148127
6 · The paper itself

Abstract

introductionUptake of COVID-19 vaccination remains suboptimal in the United States and other settings. Though early reports indicated that a strong majority of people were interested in receiving the COVID-19 vaccine, the association between vaccine intention and uptake is not yet fully understood. Ourobjective was todescribe predictors of vaccine uptake, and estimate the sensitivity, specificity, and predictive values of self-reported COVID-19 vaccine status compared to a comprehensive statewide COVID-19 vaccine registry.

methodsA cohort of California residents that received a molecular test for SARS-CoV-2 infection during 24 February-5 December 2021 were enrolled in a telephone-administered survey. Survey participants were matched with records in a statewide immunization registry. Cox proportional hazards model were used to compare time to vaccination among those unvaccinated at survey enrollment by self-reported COVID-19 vaccination intention.

resultsAmong 864 participants who were unvaccinated at the time of interview, 272 (31%) had documentation of receipt of COVID-19 vaccination at a later date; including 194/423 (45.9%) who had initially reported being willing to receive vaccination, 41/185 (22.2%) who reported being unsure about vaccination, and 37/278 (13.3%) who reported unwillingness to receive vaccination.Adjusted hazard ratios (aHRs) for registry-confirmed COVID-19 vaccination were 0.49 (95% confidence interval: 0.32-0.76) and 0.21 (0.12-0.36) for participants expressing uncertainty and unwillingness to receive vaccination, respectively, as compared with participants who reported being willing to receive vaccination. Time to vaccination was shorter among participants from higher-income households (aHR = 3.30 [2.02-5.39]) and who reported co-morbidities or immunocompromising conditions (aHR = 1.54 [1.01-2.36]).Sensitivity of self-reported COVID-19 vaccination status was 82% (80-85%) overall, and 98% (97-99%) among those referencing vaccination records; specificity was 87% (86-89%).

conclusionWillingness to receive COVID-19 vaccination was an imperfect predictor of real-world vaccine uptake. Improved messaging about COVID-19 vaccination regardless of previous SARS-CoV-2 infection status may help improve uptake.

Indexed as

COVID-19COVID-19 VaccinesHumansRegistriesSARS-CoV-2VaccinationVaccination HesitancyCOVID-19 VaccinesCovid-19FluInfluenzaSARS-COV-2Self-reportVaccineVaccine hesitancyVaccine registry

Identifiers

PMID36746740
PMCPMC9889259
OpenAlexW4318832057

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.