Abstract A54: Examining sociodemographic differences in unmet treatment information needs among localized prostate cancer survivors
Authors: Johnson Jarrett , Pandeya Sarbesh , Kabore Ahmed , Tedders Stuart H. , Ross Levi 
Published: March 2017

Background: Prostate cancer is the most commonly diagnosed cancer among men living in the United States. All men diagnosed with prostate cancer must undergo the complex process of treatment decision-making. Men have to be exposed to a range of issues related to treatment care planning and aftercare before they can make an informed treatment choice. The literature suggests that many men make prostate cancer treatment decisions before having all of their information needs satisfied. Patients who do not satisfy all of their information needs before undergoing treatment will have unmet needs. Men with unmet needs are more susceptible to making ill-informed choices and selecting treatment options that are poorly aligned with their preferences. Objectives: To quantify levels of unmet treatment information needs and to explore sociodemographic correlates of unmet needs among a sample of localized prostate cancer survivors. Methodology: From 2013 to 2014, sixty-three prostate cancer survivors completed self-administered surveys on a touch-screen computer. All participants were 40 years or older, self-identified as African American or White, was treated for or actively monitoring localized prostate cancer (Stage T1 or T2), and lived or worked in Western New York or Georgia. The survey collected information on sociodemographic variables, information seeking behavior, and treatment information needs. Unmet treatment information needs were classified as details or issues that survivors deemed important to know but did not explore before making their treatment decision. Each of the 20 treatment information need items was rated as “0 = unimportant” or “1= important”. An unmet needs composite scale was created which ranged from 0 - 20 (α = 0.895). Univariate statistics (frequencies, means and standard deviations) were computed to describe the study sample. Bivariate (T-test, ANOVA and Chi-square) and multivariate statistics were computed to examine associations between study variables. Significance levels for all statistical procedures was set at p ≤ 0.05. Results: Most participants were White (58.7%), college graduates (54.0%), not working (58.7%), married (78.4%) and had annual household incomes of $45,000+ (49.2%). A majority of participants (57.0%) reported at least one unmet information need (range = 0 – 19 unmet needs, mean = 2.83). African Americans reported more unmet needs than Whites (3.64African American vs. 2.50Whites). Results from multiple linear regression analysis indicated that race (β = -2.14, p = 0.05), income (β = -4.60, p = 0.01), and insurance status (β = 6.73, p = 0.01) were significant predictors of unmet information need (F(9,41) = 2.34; p = 0.03). African Americans were less likely to get information they wanted about “How different treatment options work (χ2 = 0.02)” and “How much time is required to complete treatment (χ2 = 0.04).” Conclusions: These results suggest that many prostate cancer patients do not receive all of the information they deem important for treatment decision-making. Treatment information seeking behavior appears to be an emerging area of disparity for African Americans and men with lower income. Patient centered interventions need to be developed and implemented to reduce unmet treatment information needs within these medically underserved populations.

Citation Format: Jarrett Johnson, Sarbesh Pandeya, Ahmed Kabore, Stuart H. Tedders, Levi Ross. Examining sociodemographic differences in unmet treatment information needs among localized prostate cancer survivors. [abstract]. In: Proceedings of the Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2016 Sep 25-28; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(2 Suppl):Abstract nr A54.