The role of perceived benefits and barriers in colorectal cancer screening in intervention trials among African Americans
Author(s) -
Randi M. Williams,
Thomas D. Wilkerson,
Cheryl L. Holt
Publication year - 2018
Publication title -
health education research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.601
H-Index - 103
eISSN - 1465-3648
pISSN - 0268-1153
DOI - 10.1093/her/cyy013
Subject(s) - intervention (counseling) , colorectal cancer , medicine , colorectal cancer screening , cancer screening , cancer , gerontology , psychology , clinical psychology , family medicine , nursing , colonoscopy
The Health Belief Model (HBM) is widely used in health behavior interventions. The lack of diverse samples in the development of this theory warrants additional study on how it performs among minorities. While studies have utilized HBM to address colorectal cancer (CRC) screening, limited information exists confirming how these constructs influence screening. Data from three CRC screening trials were used to examine how perceived benefits/barriers perform among African Americans (AA) and whether they serve as mechanisms of the intervention effects on screening. The data were collected in AA churches (Study 1: N = 103; Study 2: N = 285; Study 3: N = 374) where lay members conducted CRC education to increase screening. Participants perceived benefits from colonoscopy (M = 2.4/3, SD = 0.87) and perceived few barriers (M = 0.63/8, SD = 1.1). Benefits were perceived for the fecal occult blood test (M = 11.4/15, SD = 2.1), and few barriers were reported (M = 11.7/30, SD = 3.4). Benefits more consistently predicted pre-intervention screening relative to barriers. For Study 3, individuals with fewer barriers reported a greater increase in colonoscopy screening at 12-months versus those with higher barriers (OR = 0.595, 95% CI = 0.368-0.964), P = 0.035). Benefits/barriers did not mediate the relationship. Potential measurement limitations, particularly for barriers, were uncovered and further research on how to assess factors preventing AA from screening is needed.
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