Evidence map›Paper›PMID 36429884›Full record

ArticleInternational journal of environmental research and public health2022

Exploring the Relationship between Medical Research Literacy and Respondents' Expressed Likelihood to Participate in a Clinical Trial.

Jennifer Dykema, Cameron P Jones, Dana Garbarski, Mia Farias, Dorothy Farrar Edwards

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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. Article
  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

5 authors.

Jennifer DykemaDepartment of Sociology, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-7707-9752
Cameron P JonesUniversity of Wisconsin Survey Center, University of Wisconsin-Madison, Madison, WI 53706, USA.
Dana GarbarskiDepartment of Sociology, Loyola University Chicago, Chicago, IL 60660, USA.
Mia FariasUniversity of Wisconsin Survey Center, University of Wisconsin-Madison, Madison, WI 53706, USA.
Dorothy Farrar EdwardsDepartments of Kinesiology and Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.

Funding

vitamin D Status, Cardiovascular Health and Diabetes in American IndiansP60MD003428 · NIMHD · UNIVERSITY OF WISCONSIN-MADISON · PI SORKNESS, CHRISTINE ANNE · 2009 to 2013
$6.9M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NICHD NIH HHS P2C HD047873NIMHD NIH HHS P60 MD003428
6 · The paper itself

Abstract

Medical research literacy (MRL) is a facet of health literacy that measures a person's understanding of informed consent and other aspects of participation in medical research. While existing research on MRL is limited, there are reasons to believe MRL may be associated with a willingness to participate in medical research. We use data from a racially balanced sample of survey respondents (n = 410): (1) to analyze how MRL scores vary by respondents' socio-demographic characteristics; (2) to examine how MRL relates to respondents' expressed likelihood to participate in a clinical trial; and (3) to provide considerations on the measurement of MRL. The results indicate no differences in MRL scores by race or gender; younger (

Indexed as

Biomedical ResearchHealth LiteracyClinical Trials as TopicHumansInformed ConsentSurveys and Questionnairesclinical trialshealth literacymedical research literacymedical research participationsurvey measurement

Identifiers

PMID36429884
PMCPMC9690895

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.