Evidence map›Paper›PMID 31294299›Full record

ArticleHealth literacy research and practice2019

Health Literacy and Cervical Cancer Screening Among Mexican-American Women.

Bertha E Flores, Gayle Acton, Lyda Arevalo-Flechas, Sara Gill, Michael Mackert

Abstract read
In one paragraph

Article in Health literacy research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. 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.

Bertha E Flores
Gayle Acton
Lyda Arevalo-Flechas
Sara Gill
Michael Mackert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth literacy is a requisite skill for making personal health and health care decisions. Low health literacy may contribute to lower cervical cancer screening rates and cervical cancer health disparities among Mexican-American women in South Texas.

objectiveTo explore older Mexican-American women's health literacy related to cervical cancer from the perspective of Zarcadoolas, Pleaseant, and Greer's health literacy model.

methodsWe conducted five focus groups and seven individual interviews with 30 Mexican and Mexican-American women in South Texas. We analyzed demographic data using descriptive statistics and conducted thematic analysis of focus group and individual interview data. KEY

resultsSeveral themes reflected the domains of health literacy, including fundamental literacy ("speaking of language"), science literacy (cancer prevention), cultural literacy ("we are different"), civic literacy (the availability of "consejos" [advice]), and media literacy (e.g., "telenovelas" [soap-operas] teach a lot). In this article, we present findings related to culture and language under the domains of fundamental and cultural literacy.

conclusionsMexican-American women's cultural values and language use may serve as both deterrents and incentives to cervical cancer screening. The meaning of words can be lost in translations. Health care providers can use this information to provide cervical cancer screening education congruent with Mexican-American's culture, language, and code switching. PLAIN LANGUAGE SUMMARY: The understanding of culture and language can help health care providers improve cervical cancer screening practices among Mexican-American women. The results from this study can be used to individualize patient care and to develop education and communication strategies that are similar to the population we serve, including Mexican-American women.

Identifiers

PMID31294299
PMCPMC6608916

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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.