CervixCheck: A Spiritually-Based Text Messaging Intervention to Promote Cervical Cancer Awareness and Pap Test Screening Intention among African-American Women.

J Health Commun

a Department of Behavioral and Community Health (DL, CH) , University of Maryland, School of Public Health , College Park, MD , USA.

Published: August 2019

Background/purpose: On a national level, African-American women have a 34% higher incidence of cervical cancer and are twice as likely to die of the disease when compared to White women. In response to the need to improve cervical cancer prevention and Pap test screening knowledge and utilization, we developed and pilot tested a 16-day SMS text message-based intervention. The CervixCheck study was designed to develop, pilot test, and evaluate the feasibility, acceptability, and initial efficacy of a spiritually-based SMS text messaging intervention aimed at increasing cervical cancer awareness and Pap test screening intention in church-attending African-American women ages 21-65. Methods/Approach: The Theory of Planned Behavior guided the development of the CervixCheck intervention. This intervention utilized a non-experimental one-group pretest-posttest design. In this article, we present findings from the pilot testing phase. Of the 52 participants at baseline, 46 completed the post-program survey.

Results/findings: The current study provides evidence for the early feasibility, high acceptability, and some initial efficacy of the CervixCheck intervention. There was a significant pre-post increase observed for knowledge about cervical cancer and the Pap test (p = .001) and subjective norms (p = .006). Findings post-intervention also revealed that 83% of participants reported being either "satisfied" or "very satisfied" with the CervixCheck intervention and 85% found the SMS text messages either "useful" or "very useful".

Conclusions/significance: A spiritually-based SMS text messaging intervention could be a culturally-appropriate and cost-effective method of promoting cervical cancer early detection information to church-attending African-American women.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159894PMC
http://dx.doi.org/10.1080/10810730.2018.1528317DOI Listing

Publication Analysis

Top Keywords

cervical cancer
24
pap test
16
african-american women
16
sms text
16
text messaging
12
messaging intervention
12
test screening
12
cervixcheck intervention
12
intervention
8
cancer awareness
8

Similar Publications

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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

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 PDF

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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

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!