Evidence map›Paper›PMID 36560399›Full record

ArticleVaccines2022

The Relationship between Health Literacy and COVID-19 Vaccination Prevalence during a Rapidly Evolving Pandemic and Infodemic.

Iris Feinberg, Jane Yoon Scott, David P Holland, Rodney Lyn, Lia C Scott, Kevin M Maloney, Richard Rothenberg

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  10. The impact of health literacy on COVID-19 immunization.Human vaccines & immunotherapeutics · 2023
    Article
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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

7 authors at 2 institutions in 1 country.

Iris FeinbergAdult Literacy Research Center, College of Education and Human Development, Georgia State University, 30 Pryor Street SW, Suite 750, Atlanta, GA 30303, USA.
Jane Yoon ScottDivision of Infectious Diseases, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA.ORCID 0000-0002-3039-2661
David P HollandDivision of Infectious Diseases, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA.
Rodney LynSchool of Public Health, Georgia State University, 140 Decatur Street SE, Atlanta, GA 30303, USA.
Lia C ScottSchool of Public Health, Georgia State University, 140 Decatur Street SE, Atlanta, GA 30303, USA.ORCID 0000-0001-5379-333X
Kevin M MaloneySchool of Public Health, Georgia State University, 140 Decatur Street SE, Atlanta, GA 30303, USA.
Richard RothenbergSchool of Public Health, Georgia State University, 140 Decatur Street SE, Atlanta, GA 30303, USA.
Georgia State University · USEmory University · US

Funding

CDC HHS OT21-2103
6 · The paper itself

Abstract

The gap between how health information is communicated and what people understand and can use to make informed health decisions is called health literacy. This gap was exacerbated by the rapidly changing and excessive volume of information, misinformation, and disinformation during the COVID-19 pandemic. People with lower health literacy may not have understood the importance of COVID-19 vaccination for themselves or for their communities. Our aim was to understand health literacy levels within Fulton County, Georgia, and their relationship to vaccine prevalence. Fulton county residents ages 18 and over (n = 425) completed an on-line Health Literacy Questionnaire. Individual, organizational, functional, interactive, and critical health literacy scales were created. Vaccination prevalence data were collected from the Georgia Vaccine Distribution Dashboard. All data were divided into one of three county areas. There were statistically significant variations in vaccine prevalence χ2(3) = 29.325, p < 0.001 among the three county areas. All levels of health literacy predicted overall county vaccination prevalence F (4,420) = 85.941, p < 0.001, There were significant differences in health literacy levels among two of the three county area pairs; the lowest resourced county area had the lowest vaccination prevalence and health literacy rates. This is the first example of relating direct health literacy measures across a major metropolitan US county with vaccine prevalence data.

Indexed as

COVID-19 vaccine prevalencehealth literacyinfodemicvaccine hesitancy

Identifiers

PMID36560399
PMCPMC9785031
OpenAlexW4309845462

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.