Evidence map›Paper›PMID 35123549›Full record

ArticleBMC research notes2022

Double burden of COVID-19 knowledge deficit: low health literacy and high information avoidance.

Xuewei Chen, Ming Li, Gary L Kreps

Abstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence and predictors of medical information avoidance: a systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Student information use during the COVID-19 pandemic.Journal of academic librarianship · 2023
    Article
  7. Article
  8. Information avoidance in the age of COVID-19: A meta-analysis.Information processing & management · 2023
    Article
  9. What Drives Elderly People in China Away from COVID-19 Information?International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. 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

3 authors.

Xuewei ChenSchool of Community Health Sciences, Counseling and Counseling Psychology, Oklahoma State University, 429 Willard Hall, Stillwater, OK, 74078, USA. xuewei.chen@okstate.edu.ORCID http://orcid.org/0000-0001-6391-1459
Ming LiDepartment of Health Sciences, College of Health Professions, Towson University, 8000 York Road, Linthicum Hall, Room 101B, Towson, MD, 21252, USA.
Gary L KrepsDepartment of Communication, Center for Health and Risk Communication, George Mason University, 4400 University Drive, Fairfax, VA, 22030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeople with lower levels of health literacy are likely to report engaging in information avoidance. However, health information avoidance has been overlooked in previous research on responses to viral outbreaks. The purpose of this cross-sectional survey study was to assess the relationship between health literacy and COVID-19 information avoidance. Students (n = 561) at a university in the south central region of the U.S. completed our online survey conducted from April to June 2020 using simple random sampling. We measured information avoidance and the degree to which people opt not to learn about COVID-19 when given the choice. We assessed participants' health literacy level using the Newest Vital Sign (NVS), eHealth Literacy Scale (eHEALS), and All Aspect of Health Literacy Scale (AAHLS).

resultsThose with lower health literacy were more likely to avoid information about COVID-19. This negative association between health literacy and information avoidance was consistent across all types of health literacy measures: NVS scores (b = - 0.47, p = 0.033), eHEALS scores (b = - 0.12, p = 0.003), functional health literacy (b = - 0.66, p = 0.001), communicative health literacy (b = - 0.94, p < 0.001), information appraisal (b = - 0.36, p = 0.004), and empowerment (b = - 0.62, p = 0.027). The double burden of low health literacy and high information avoidance is likely to lead to a lack of knowledge about COVID-19.

Indexed as

COVID-19Health LiteracyTelemedicineCross-Sectional StudiesHumansInformation AvoidanceSARS-CoV-2Surveys and QuestionnairesCOVID-19Health literacyInformation avoidance

Identifiers

PMID35123549
PMCPMC8817640

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.