Intervention to Increase Cervical Cancer Screening Behavior among Medically Underserved Women: Effectiveness of 3R Communication Model

Author:

Asare Matthew1ORCID,Elizondo Anjelica1,Dwumfour-Poku Mina1,Mena Carlos2,Gutierrez Mariela3,Mamudu Hadii M.45

Affiliation:

1. Department of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX 76798, USA

2. North American University, Stafford, TX 77477, USA

3. Department of Population Health and Health Disparities, School of Public and Population Health, University of Texas Medical Branch at Galveston, Galveston, TX 77555, USA

4. College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA

5. Center for Cardiovascular Risk Research, East Tennessee State University, Johnson City, TN 37614, USA

Abstract

Human Papillomavirus (HPV) self-sampling has the potential to increase Cervical Cancer Screening (CCS) and reduce the cervical cancer burden in Medically Underserved Women (MUW). However, interventions promoting self-sampling are limited. We examined the effectiveness of an intervention study in increasing CCS among MUW. We conducted a quasi-experimental intervention study. A face-to-face verbal approach was used to recruit MUW (n = 83, mean age 48.57 ± 11.02) living in a small city in the US. Behavioral intervention based on reframing, reprioritizing, and reforming (3R model) was used to educate the women about CCS in a group format. The women (n = 83) completed pre-and post-intervention assessments, and 10 of them were invited for follow-up interviews. The primary outcome was CCS uptake. Mixed methods analyses were conducted using a t-test for the primary outcome, PROCESS for mediation analysis, and NVivo for interview data. The majority of women (75%) completed self-testing. High-risk HPV among women was 11%, and of those, 57% followed up with physicians for care. We found that the significant increase in the women’s post-intervention screening behaviors was mediated by the increase in knowledge (Indirect Effect [IE] = 0.1314; 95% CI, 0.0104, 0.4079) and attitude (IE = 0.2167; 95% CI, 0.0291, 0.6050) scores, (p < 0.001). Interview analyses offered further explanations why MUW found the intervention messages acceptable (encourages proactive behavior), feasible (simple and easy to understand), and appropriate (helpful and informative). Barriers, including lack of trust and fear of results, were identified. The findings suggest that an intervention that combines the 3R model and self-sampling may increase CCS among MUW.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference58 articles.

1. Gelband, H., Jha, P., Sankaranarayanan, R., and Horton, S. (2020, February 26). Cervical Cancer, Cancer: Disease Control Priorities, Third Edition (Volume 3), Available online: https://www.ncbi.nlm.nih.gov/books/NBK343648/.

2. National Cancer Institute (2023, April 24). Surveillance, Epidemiology, and End Results Program. Cancer Stat Facts: Cervical Cancer, Available online: https://seer.cancer.gov/statfacts/html/cervix.html.

3. Knowledge and early adoption of the HPV vaccine among girls and young women: Results of a national survey;Caskey;J. Adolesc. Health,2009

4. Sahasrabuddhe, V. April 10–12. HPV Self-Sampling for Cervical Cancer Screening in the United States. [Conference Session). Dusseldorf, Germany. Proceedings of the Eurogin 2022 Conference, Available online: https://www.eurogin.com/content/dam/Informa/eurogin/2022/pdf/Eurogin2022_CongressBook_Program.pdf.

5. Human Papillomavirus–Associated Cancers—United States, 2008–2012;Viens;MMWR Morb. Mortal. Wkly. Rep.,2016

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