ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2018
Assessing Cancer Health Literacy among Spanish-Speaking Latinos.
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.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Socioeconomic disparities and health literacy: Unraveling the impact on diagnostic and cancer care in Uruguay.Journal of cancer policy · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
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.