Background: Health 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.
Objective: To explore older Mexican-American women's health literacy related to cervical cancer from the perspective of Zarcadoolas, Pleaseant, and Greer's health literacy model.
Methods: We 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 Results: Several 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.
Conclusions: Mexican-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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6608916 | PMC |
| http://dx.doi.org/10.3928/24748307-20181127-01 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Delineation of reduced CTV2 on the basis of the characteristics and distribution of cervical lymph node metastasis in nasopharyngeal carcinoma.
BMC Cancer
January 2025
Department of Radiation Oncology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, P. R. China.
Introduction: The core objective of this study was to precisely locate metastatic lymph nodes, identify potential areas in nasopharyngeal carcinoma patients that may not require radiotherapy, and propose a hypothesis for reduced target volume radiotherapy on the basis of these findings. Ultimately, we reassessed the differences in dosimetry of organs at risk (OARs) between reduced target volume (reduced CTV2) radiotherapy and standard radiotherapy.
Methods And Materials: A total of 209 patients participated in the study.
Reverse-engineering the FLT3-PI3K/AKT axis to enhance TILs function and improve prognosis in ovarian and cervical cancers.
J Ovarian Res
January 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, #128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Background: Ovarian cancers (OC) and cervical cancers (CC) have poor survival rates. Tumor-infiltrating lymphocytes (TILs) play a pivotal role in prognosis, but shared immune mechanisms remain elusive.
Methods: We integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to explore immune regulation in OC and CC, focusing on the PI3K/AKT pathway and FLT3 as key modulators.
An automatic cervical cell classification model based on improved DenseNet121.
Sci Rep
January 2025
Department of Biomedical Engineering, School of Life Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.
The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network.
View Article and Find Full Text PDFHow can cervical screening meet the needs of vulnerable women? A qualitative comparative study with stakeholder perspectives from seven European countries.
BMJ Open
January 2025
University Research Clinic for Cancer Screening, Randers Regional Hospital, Randers, Denmark.
Objective: This study explored and compared stakeholder perspectives on enhancements to cervical cancer screening for vulnerable women across seven European countries.
Design: In a series of Collaborative User Boards, stakeholders were invited to collaborate on identifying facilitators to improve cervical cancer screening.
Setting: This study was part of the CBIG-SCREEN project which is funded by the European Union and targets disparities in cervical cancer screening for vulnerable women (www.
Racial and ethnic enrollment disparities in clinical trials leading to FDA approvals for gynecologic malignancies.
Am J Obstet Gynecol
January 2025
Division of Gynecologic Oncology, Mount Sinai Medical Center, Miami Beach, Florida, USA.
Background: Black women and other minorities have higher age adjusted incidence risk for cervical and endometrial cancer than White women. However, the extent of racial and ethnic disparities in clinical trial enrollment among studies performed mainly in North America and Europe for gynecologic malignancy is unknown.
Objective: This study analyzed enrollment rates by race/ethnicity in trials that led to Food and Drug Administration (FDA) approvals for gynecological cancers from 2010 to 2024.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!