"Black Women Don't Always Put Our Healthcare First": Facilitators and Barriers to Cervical Cancer Screening and Perceptions of Human Papillomavirus Self-Testing Among Church-Affiliated African American Women.
Kelsey ChristensenAlexandria G BauerTacia BurginJoah WilliamsJoan McDowdGary SutkinKymberly BennettCarole Bowe ThompsonJannette Y Berkley-PattonPublished in: Community health equity research & policy (2022)
Background: African American women are at greater risk for cervical cancer incidence and mortality than White women. Up to 90% of cervical cancers are caused by human papillomavirus (HPVs) infections. The National Institutes of Health (NIH) co-developed HPV self-test kits to increase access to screening, which may be critical for underserved populations. Purpose/Research Design: This mixed methods study used the Theory of Planned Behavior to examine attitudes, barriers, facilitators, and intentions related to receipt of cervical cancer screening and perceptions of HPV self-testing among church-affiliated African American women. Study Sample/Data Collection: Participants ( N = 35) aged 25-53 participated in focus groups and completed a survey. Results: Seventy-four percent of participants reported receipt of cervical cancer screening in the past 3 years. Healthcare providers and the church were supportive referents of screening. Past trauma and prioritizing children's healthcare needs were screening barriers. Concerns about HPV self-testing included proper test administration and result accuracy. Conclusions: Strategies to mitigate these concerns (e.g., delivering HPV self-test kits to the health department) are discussed.
Keyphrases
- cervical cancer screening
- african american
- healthcare
- public health
- primary care
- mental health
- young adults
- risk factors
- type diabetes
- health information
- cardiovascular events
- study protocol
- cardiovascular disease
- polycystic ovary syndrome
- clinical trial
- electronic health record
- adipose tissue
- coronary artery disease
- pregnant women
- quality improvement
- artificial intelligence
- high grade
- double blind