Evidence map›Paper›PMID 33502332›Full record

ArticleJournal of medical Internet research2021

Role of Health Literacy in Health-Related Information-Seeking Behavior Online: Cross-sectional Study.

Hee Yun Lee, Seok Won Jin, Carrie Henning-Smith, Jongwook Lee, Jaegoo Lee

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
22.4field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.

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26 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 1 country.

Hee Yun Lee *School of Social Work, The University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0003-3499-6304
Seok Won JinSchool of Social Work, University of Memphis, Memphis, TN, United States.ORCID 0000-0003-1991-9335
Carrie Henning-SmithSchool of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0002-0273-0387
Jongwook LeeDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID 0000-0002-3660-4370
Jaegoo LeeSchool of Social Work, Jackson State University, Jackson, MS, United States.ORCID 0000-0001-9036-9212
Harvard University · USUniversity of Alabama · USUniversity of Memphis · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe internet has emerged as a main venue of health information delivery and health-related activities. However, few studies have examined how health literacy determines online health-related behavior.

objectiveThe aim of this study was to investigate the current level of health-related information-seeking using the internet and how health literacy, access to technology, and sociodemographic characteristics impact health-related information-seeking behavior.

methodsWe conducted a cross-sectional study through a survey with Minnesotan adults (N=614) to examine their health literacy, access to technology, and health-related information-seeking internet use. We used multivariate regression analysis to assess the relationship between health-related information-seeking on the internet and health literacy and access to technology, controlling for sociodemographic characteristics.

resultsBetter health literacy (β=.35, SE 0.12) and greater access to technological devices (eg, mobile phone and computer or tablet PC; β=.06, SE 0.19) were both associated with more health-related information-seeking behavior on the internet after adjusting for all other sociodemographic characteristics. Possession of a graduate degree (β=.28, SE 0.07), female gender (β=.15, SE 0.05), poor health (β=.22, SE 0.06), participation in social groups (β=.13, SE 0.05), and having an annual health exam (β=.35, SE 0.12) were all associated with online health-related information-seeking.

conclusionsOur findings indicate that access to online health-related information is not uniformly distributed throughout the population, which may exacerbate disparities in health and health care. Research, policy, and practice attention are needed to address the disparities in access to health information as well as to ensure the quality of the information and improve health literacy.

Indexed as

Information Seeking BehaviorAdultCross-Sectional StudiesFemaleHealth LiteracyHumansInternet UseMaleSurveys and Questionnairesaccessdigital dividehealth literacyinternettechnology

Identifiers

PMID33502332
PMCPMC7875696
OpenAlexW3048594214

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.