17 research outputs found

    A Targeted Approach to Increasing the African American Blood Donor Pool

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    A continuous need for blood products, specifically for those who require frequent transfusions, such as individuals with sickle cell disease, warrants the need for targeted interventions to increase blood donations from underrepresented populations. One population in particular, African Americans, only account for 1% of blood donors in the United States. Literature indicates numerous reasons why this population is underrepresented amongst donors, including fear, lack of knowledge about the blood donation, and specific to this population, lack of trust in the medical community. This study involves the development, implementation, and assessment of a targeted educational approach, incorporating the Theory of Planned Behavior and various teaching methods, to motivate African Americans non-donors to attempt to donate blood. Participants attended a 1-hour educational session where they completed two surveys, one before the session and one directly after. A third survey was completed 2 months after the session. Of the 155 individuals enrolled in the study, 142 subjects were included in the data analysis. Sixteen percent of the study participants presented to donate as a result of attending the educational session. This resulted in a statistically significantly higher proportion of African Americans presenting to donate than the current proportion in Virginia. Analysis of results from the first two surveys indicated that subjective norm and attitude were significant predictors of one’s intent to donate blood, while perceived behavioral control was not a factor. The educational session increased survey scores related to intent to donate in comparison to scores obtained prior to the session. While this study resulted in a significant proportion of new donors, there is still a need for interventions that will focus specifically on changing attitudes toward blood donation and a need for methods to motivate African Americans to educate individuals in the community on the importance of becoming blood donors

    Examining Sociodemographic and Clinical Factors Associated with Smoking Behaviors Among Black Breast and Gynecological Cancer Survivors

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    Black breast and gynecological cancer survivors experience poorer outcomes than their non-Black counterparts. Although multifactorial, one contributor may be cigarette smoking behaviors. The purpose of this study was to identify demographic, clinical, and social drivers of health (SDoH) factors associated with smoking behaviors in Black breast and gynecological cancer survivors. We conducted a secondary analysis of survey data collected from an ongoing cross-sectional study. Summary statistics (e.g., means, frequencies) were computed for all factors of interest. Chi square test of independence, t test, and logistic regression assessed the associations between demographic, clinical, and SDoH factors (e.g., social support) and the smoking status (ever smoker versus non-smoker). All hypothesis tests were two-sided at a significance level of 0.05. Among 148 Black breast and gynecological cancer survivors in our study sample, primarily were non-smokers (63.5%), 50 years old or older (60.1%), and had breast cancer (81.1%). When comparing smokers to non-smokers, smokers were more likely to have a high school education or less (31.5% vs.12.8%, respectively) (p=0.02) and to have gynecological cancer (vs. breast) (p\u3c 0.001). In unadjusted analysis, cancer type and education were significantly associated with smoking; however, in the adjusted multivariable model, these associations were no longer significant. Age was the only significant covariate wherein for each additional year of age at cancer diagnosis, the odds of smoking increased by 6% (adjusted Odds Ratio: 1.06, 95% CI: 1.01–1.13). Our findings indicate a need to focus on smoking in older breast and gynecological survivors, particularly as this group is more at risk for other smoking-related chronic conditions and may have smoked longer than their younger counterparts. Future research will require an understanding of the psychology associated with smoking after a cancer diagnosis and the development of tailored methods to engage older survivors in smoking cessation interventions.https://scholarscompass.vcu.edu/uresposters/1485/thumbnail.jp

    Understanding the Role of Patient-Reported Outcomes for Decision-Making in Early-Phase Dose-Finding Clinical Trials

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    In early-phase dose-finding clinical trials, integrating patient-reported outcomes (PROs) is essential for enhancing patient-centered decision-making. This short communication advocates for several key practices to achieve such integration. Firstly, foster patient-centered communication that ensures patient understanding of the potential benefits of early-phase trials, thereby mitigating therapeutic misconceptions. Secondly, (a) facilitate partnerships to understand and address the underlying reasons for discrepancies between clinician and patient reports of adverse events and (b) facilitate partnerships among clinical trialists, statisticians, clinicians, patients, and advocates to gain diverse perspectives of adverse events and in so doing ensure that patients comprehend how their data will be used. Thirdly, optimize trial design and data collection by (a) determining optimal and feasible frequencies for PRO collection to minimize patient burden while maintaining data integrity and (b) effectively incorporating concordant PROs to guide dose recommendation decisions and adapt trial designs and statistical methods accordingly. Future research will involve investigating the application of these practices in patients within the Virginia Commonwealth University (VCU) Massey Comprehensive Cancer Center Catchment Area. By integrating these recommendations, early-phase dose-finding clinical trials have the potential to achieve more informed and patient-centered objectives

    Social Determinants of Health Data Improve the Prediction of Cardiac Outcomes in Females with Breast Cancer

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    Cardiovascular disease is the leading cause of mortality among breast cancer (BC) patients aged 50 and above. Machine Learning (ML) models are increasingly utilized as prediction tools, and recent evidence suggests that incorporating social determinants of health (SDOH) data can enhance its performance. This study included females ≥ 18 years diagnosed with BC at any stage. The outcomes were the diagnosis and time-to-event of major adverse cardiovascular events (MACEs) within two years following a cancer diagnosis. Covariates encompassed demographics, risk factors, individual and neighborhood-level SDOH, tumor characteristics, and BC treatment. Race-specific and race-agnostic Extreme Gradient Boosting ML models with and without SDOH data were developed and compared based on their C-index. Among 4309 patients, 11.4% experienced a 2-year MACE. The race-agnostic models exhibited a C-index of 0.78 (95% CI 0.76–0.79) and 0.81 (95% CI 0.80–0.82) without and with SDOH data, respectively. In non-Hispanic Black women (NHB; n = 765), models without and with SDOH data achieved a C-index of 0.74 (95% CI 0.72–0.76) and 0.75 (95% CI 0.73–0.78), respectively. Among non-Hispanic White women (n = 3321), models without and with SDOH data yielded a C-index of 0.79 (95% CI 0.77–0.80) and 0.79 (95% CI 0.77–0.80), respectively. In summary, including SDOH data improves the predictive performance of ML models in forecasting 2-year MACE among BC females, particularly within NHB

    Understanding Medical Mistrust in Black Women at Risk of BRCA 1/2 Mutations

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    The benefits of genetic counseling and testing for hereditary breast and/or ovarian cancer (HBOC) are well documented; however, Black women are less likely to use these services compared to White women. Mistrust of the medical system has been associated with Black women’s use of genetic counseling and testing (GCT). However, relatively little is known about the correlates of medical mistrust in Black women at increased risk of HBOC. In this study, we examined the prevalence and predictors of medical mistrust in 94 Black women at-risk of HBOC. Most women were married (48.7%) and had at least some collegiate education (57.1%). While no predisposing characteristics were significantly related to medical mistrust, bivariate analysis indicated significant relationships between mistrust and fatalism (p=0.04), perceptions of discrimination in the healthcare setting (p=0.01), and self-efficacy in obtaining GCT (p=0.01). Multivariable analysis revealed that women who reported more discriminatory experiences and women with less confidence in obtaining GCT expressed greater medical mistrust. Multilevel approaches are needed to address psychosocial factors associated with feelings of mistrust. Future efforts must not solely focus on educating women on the importance of and need for GCT; addressing structural barriers, such as patient-provider interactions, that contribute to mistrust must become a priority
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