Evidence map›Paper›PMID 28741268›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2018

Assessing Cancer Health Literacy among Spanish-Speaking Latinos.

Margarita Echeverri, David Anderson, Anna María Nápoles

Abstract read
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Margarita EcheverriEducational Coordinator Health Disparities, Diversity and Cultural Competence, Center for Minority Health and Health Disparities Research and Education, Xavier University of Louisiana, College of Pharmacy, 1 Drexel Drive, New Orleans, LA, 70125, USA. mechever@xula.edu.ORCID 0000-0002-8003-5355
David AndersonDepartment of Mathematics, Xavier University of Louisiana, 1 Drexel Drive, New Orleans, LA, 70125, USA.
Anna María NápolesDepartment of Medicine, Center for Aging in Diverse Communities, University of California San Francisco, Box 0856, 3333 California Street, Suite 335, San Francisco, CA, 94118, USA.
Xavier University of Louisiana · USUniversity of California, San Francisco · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Xavier RCMI Renewal Application-Research Infrastructure CoreU54MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI LaKeisha Williams · 2019 to 2026
$41.9M
Xavier Pharmacy Endowment For Minority HealthS21MD000100 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI FRANCIS, NORMAN C. · 2001 to 2011
$39.0M
RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEAH S KARLINER · 1997 to 2026
$19.5M
Xavier's RCMI Cancer Research ProgramG12MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE, WANG, GUANGDI · 2012 to 2018
$15.7M
Training ProgramU54CA153511 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI RAMIREZ, AMELIE G · 2010 to 2015
$6.2M
Translating Behavioral Interventions for Health Disparity PopulationsZIAMD000014 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI CHOI, KELVIN · 2018 to 2023
$4.8M
NCI NIH HHS U54 CA153511NIA NIH HHS P30 AG015272NIA NIH HHS P30 AG15272NIGMS NIH HHS U54 GM104940NIMHD NIH HHS G12 MD007595NIMHD NIH HHS S21 MD000100NIMHD NIH HHS U54 MD007595
6 · The paper itself

Abstract

Health literacy is a dynamic construct that changes with specific health conditions; thus, new disease-specific health literacy tools are needed. Since cancer is the leading cause of death among Latinos, the largest and fastest-growing minority population in the nation, there is a need to develop tools to assess cancer health literacy (CHL) among the Spanish-speaking population. The Cancer Health Literacy Test, Spanish version (CHLT-30-DKspa) was applied to identify Spanish-speaking individuals with low CHL and ascertain which items in the tool best discriminate between CHL level groups. Cross-sectional field test of the CHLT-30-DKspa among Spanish-speaking Latinos. Latent class analysis (LCA) identified participants with varying CHL levels. Probability of correct answers, odds ratios, and standardized errors were used to identify the items that allow the classification of individuals among the latent classes. LCA resulted in a three-latent-class model predicting 39.4% of participants to be in the HIGH class, 43.3% in the MEDIUM class, and 17.3% in the LOW class. Eleven items (the CHLT-11-DKspa) meet the criteria to clearly separate participants with HIGH and LOW classes of CHL. Although the best model fit was a three-class solution, results showed a clear separation of individuals from HIGH versus LOW levels of CHL, but separation of those in the MEDIUM level was not as clear. The CHLT-11-DKspa is a shorter measure that may be relatively easy to use in a clinical encounter to identify Spanish-speaking patients with the poorest levels of CHL who may require additional support to understand medical instructions and care plans.

Indexed as

Educational MeasurementHealth Knowledge, Attitudes, PracticeAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHealth LiteracyHispanic or LatinoHumansMaleMiddle AgedNeoplasmsPovertyAssessmentAssessment toolsCancer health literacyCancer literacy levelsHispanicsLatinosPsychometric evaluationSpanish

Identifiers

PMID28741268
PMCPMC5783783
OpenAlexW2738004609

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.