Evidence map›Paper›PMID 40245767›Full record

ArticleVaccine2025

Evaluating concurrency and gaps between self-report and vaccine card data for COVID-19 vaccination.

Marie C D Stoner, Jenna Michaels, Jacob B Stocks, Noah Mancuso, Zachary Soberano, Erica Browne, C Lily Bond, Ibrahim Yigit, Allysha C Maragh-Bass, Audrey E Pettifor and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

15 authors.

Marie C D StonerRTI International, Durham, NC, USA. Electronic address: mcstoner@rti.org.
Jenna MichaelsRTI International, Durham, NC, USA.
Jacob B StocksInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
Noah MancusoRTI International, Durham, NC, USA.
Zachary SoberanoInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
Erica BrowneRTI International, Durham, NC, USA.
C Lily BondInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
Ibrahim YigitInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
Allysha C Maragh-BassFHI 360, Durham, NC, USA; Duke Global Health Institute, Durham, NC, USA.
Audrey E PettiforUniversity of North Carolina at Chapel Hill (UNC), Chapel Hill, NC, USA.
Kathryn E MuessigInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
Maria Leonora G ComelloUniversity of North Carolina at Chapel Hill (UNC), Chapel Hill, NC, USA.
Margo Adams LarsenVirtually Better, Inc., Decatur, GA, USA.
Lisa B Hightow-WeidmanInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
Henna BudhwaniInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.

Funding

A multidimensional Digital Approach to Address Vaccine Hesitancy and Increase COVID-19 Vaccine Uptake among African American Young Adults in the SouthR01MD016834 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUDHWANI, HENNA, HIGHTOW-WEIDMAN, LISA B · 2021 to 2024
$2.9M
NIMHD NIH HHS R01 MD016834
6 · The paper itself

Abstract

We compared self-reported vaccination to vaccine card data to assess concurrency in a sample of Black young adults in Georgia, Alabama, and North Carolina. We described vaccine card versus self-reported data over time and examined discrepancies in reporting between these two sources. Results indicated strong currency suggesting collection of self-reported data may be an acceptable proxy to requiring official vaccine documentation. However, since 58 % of participants did not upload a vaccine card, finding should be applied with caution. Minor differences were found and were generally due to boosters that were self-reported but were not on cards. The discrepancy in number of vaccines and boosters was likely because COVID-19 vaccination has become routine and vaccine cards are not being updated regularly. At this stage in the pandemic and for other vaccinations that become routine and are administered at pharmacies, self-report may be a reliable indication of the number of vaccinations received.

Indexed as

COVID-19COVID-19 VaccinesSelf ReportVaccinationAdolescentAdultAlabamaBlack or African AmericanFemaleGeorgiaHumansMaleNorth CarolinaSARS-CoV-2Young AdultCOVID-19 VaccinesSelf-reported vaccinationVaccination measurementVaccine cardsYoung adults

Identifiers

PMID40245767
PMCPMC12068965

What OpenQuestion holds

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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.