Evidence map›Paper›PMID 30160641›Full record

ArticleJournal of health communication2018

Health Literacy and Use and Trust in Health Information.

Xuewei Chen, Jennifer L Hay, Erika A Waters, Marc T Kiviniemi, Caitlin Biddle, Elizabeth Schofield, Yuelin Li, Kimberly Kaphingst, Heather Orom

Abstract read
In one paragraph

Article in Journal of health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed, 2 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

217 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception.International journal of environmental research and public health · 2021
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  18. Online Resources for Migraine Surgery: Readability and Patient Understanding.Plastic and reconstructive surgery. Global open · 2026
    Article
  19. Article
  20. Article

157 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

9 authors.

Xuewei Chena Department of Community Health and Health Behavior , University at Buffalo , Buffalo , NY , USA.ORCID 0000-0001-6391-1459
Jennifer L Hayb Department of Psychiatry & Behavioral Sciences , Memorial Sloan-Kettering Cancer Center , New York , NY , USA.ORCID 0000-0002-3492-9331
Erika A Watersc Department of Surgery (Division of Public Health Sciences) , Washington University Medical School , St. Louis , MO , USA.ORCID 0000-0001-7402-0133
Marc T Kiviniemia Department of Community Health and Health Behavior , University at Buffalo , Buffalo , NY , USA.ORCID 0000-0002-1299-8416
Caitlin Biddlea Department of Community Health and Health Behavior , University at Buffalo , Buffalo , NY , USA.ORCID 0000-0002-3214-5605
Elizabeth Schofieldb Department of Psychiatry & Behavioral Sciences , Memorial Sloan-Kettering Cancer Center , New York , NY , USA.ORCID 0000-0002-4745-3707
Yuelin Lib Department of Psychiatry & Behavioral Sciences , Memorial Sloan-Kettering Cancer Center , New York , NY , USA.ORCID 0000-0001-6571-3587
Kimberly Kaphingstd Department of Communication , University of Utah , Salt Lake City , UT , USA.ORCID 0000-0003-2668-9080
Heather Oroma Department of Community Health and Health Behavior , University at Buffalo , Buffalo , NY , USA.ORCID 0000-0002-0147-8378

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
"Don't Know" Responses to Risk Perception Questions: Identifying Mechanisms and SolutionsR01CA197351 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HAY, JENNIFER L, OROM, HEATHER · 2015 to 2018
$1.4M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA197351
6 · The paper itself

Abstract

There is a need to investigate which health information sources are used and trusted by people with limited health literacy to help identify strategies for addressing knowledge gaps that can contribute to preventable illness. We examined whether health literacy was associated with people's use of and trust in a range of potential health information sources. Six hundred participants from a GfK Internet survey panel completed an online survey. We assessed health literacy using the Newest Vital Sign, the sources participants used to get health information, and the extent to which participants trusted health information from these sources. We performed multivariable regressions, controlling for demographic characteristics. Lower health literacy was associated with lower odds of using medical websites for health information and with higher odds of using television, social media, and blogs or celebrity webpages. People with lower health literacy were less likely to trust health information from specialist doctors and dentists, but more likely to trust television, social media, blogs/celebrity webpages, friends, and pharmaceutical companies. People with limited health literacy had higher rates of using and trusting sources such as social media and blogs, which might contain lower quality health information compared to information from healthcare professionals. Thus, it might be necessary to enhance the public's ability to evaluate the quality of health information sources. The results of this study could be used to improve the reach of high-quality health information among people with limited health literacy and thereby increase the effectiveness of health communication programs and campaigns.

Indexed as

TrustAdolescentAdultAgedAged, 80 and overConsumer Health InformationFemaleHealth LiteracyHumansMaleMiddle AgedYoung Adult

Identifiers

PMID30160641
PMCPMC6295319

What OpenQuestion holds

Textmetadata
LicenceTDM
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.