Amy K Otto1,2, Dana Ketcher1, Rachael McCormick1, Jenna L Davis3, McKenzie R McIntyre1, Yunqi Liao4, Maija Reblin5,6, Susan T Vadaparampil1,4. 1. Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA. 2. Department of Public Health Sciences, The University of Miami, Miami, FL, USA. 3. Moffitt Diversity, Moffitt Cancer Center, Tampa, FL, USA. 4. Office of Community Outreach, Engagement, and Equity, Moffitt Cancer Center, Tampa, FL, USA. 5. Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA. maija.reblin@uvm.edu. 6. Department of Family Medicine, University of Vermont, Burlington, VT, USA. maija.reblin@uvm.edu.
Abstract
BACKGROUND: Racial and ethnic minorities experience well-documented disparities across the cancer trajectory. However, factors underlying these disparities may vary regionally. The Health Belief Model (HBM) was developed to explain and predict health-related prevention and early detection behaviors, particularly uptake of health services. Our goal was to use the HBM to guide an exploration of factors that contribute to racial/ethnic health disparities in the catchment area of a large National Cancer Institute-designated Comprehensive Cancer Center in the Southeastern United States. METHODS: We conducted a secondary analysis of data collected by the cancer center for its triennial Community Health Needs Assessment, which sampled adults from the center's 15-county catchment area. White non-Hispanics (WNHs; n = 887), Black non-Hispanics (BNHs; n = 78), Hispanics/Latinxs (H/Ls; n = 185), and those identifying as another race/ethnicity ("Others"; n = 39) were compared across key HBM variables, including demographic/psychosocial information, perceived benefits and barriers to preventive health behaviors, risk perception, and health behavior outcomes. RESULTS: Controlling for annual household income, relationship status, and age (for certain screening behaviors), significant differences were seen in information-seeking behaviors, risk perception, community attributes, discrimination, and distress. Non-WNH groups reported worse community attributes, higher everyday discrimination, lower health literacy, less confidence in their ability to get health information, and lower perceived risk of cancer. CONCLUSION: This analysis presents a better understanding of how HBM factors may influence health disparities in the cancer center's catchment area. Results describe the needs of community members from racial and ethnic minority groups, which will inform future research, education, outreach, and service activities.
BACKGROUND: Racial and ethnic minorities experience well-documented disparities across the cancer trajectory. However, factors underlying these disparities may vary regionally. The Health Belief Model (HBM) was developed to explain and predict health-related prevention and early detection behaviors, particularly uptake of health services. Our goal was to use the HBM to guide an exploration of factors that contribute to racial/ethnic health disparities in the catchment area of a large National Cancer Institute-designated Comprehensive Cancer Center in the Southeastern United States. METHODS: We conducted a secondary analysis of data collected by the cancer center for its triennial Community Health Needs Assessment, which sampled adults from the center's 15-county catchment area. White non-Hispanics (WNHs; n = 887), Black non-Hispanics (BNHs; n = 78), Hispanics/Latinxs (H/Ls; n = 185), and those identifying as another race/ethnicity ("Others"; n = 39) were compared across key HBM variables, including demographic/psychosocial information, perceived benefits and barriers to preventive health behaviors, risk perception, and health behavior outcomes. RESULTS: Controlling for annual household income, relationship status, and age (for certain screening behaviors), significant differences were seen in information-seeking behaviors, risk perception, community attributes, discrimination, and distress. Non-WNH groups reported worse community attributes, higher everyday discrimination, lower health literacy, less confidence in their ability to get health information, and lower perceived risk of cancer. CONCLUSION: This analysis presents a better understanding of how HBM factors may influence health disparities in the cancer center's catchment area. Results describe the needs of community members from racial and ethnic minority groups, which will inform future research, education, outreach, and service activities.
Authors: Michael Todd; Marc A Adams; Jonathan Kurka; Terry L Conway; Kelli L Cain; Matthew P Buman; Lawrence D Frank; James F Sallis; Abby C King Journal: Prev Med Date: 2016-09-20 Impact factor: 4.018
Authors: Latrice Rollins; Angela Sy; Nicole Crowell; Desiree Rivers; Assia Miller; Pamela Cooper; Debra Teague; Cassandra Jackson; Tabia Henry Akintobi; Elizabeth Ofili Journal: Int J Environ Res Public Health Date: 2018-08-28 Impact factor: 3.390