Paul Terry

Neighborhood disorder and ovarian cancer survival in Black women

Abstract Ovarian cancer (OC) is the fifth leading cause of cancer mortality among women in the US. Black women experience significantly lower OC survival than White women. Evidence suggests that this disparity is not solely the result of barriers to healthcare access but may also be impacted by other factors, including neighborhood social characteristics. To investigate this further, this study developed an approach for remotely estimating the degree of physical disorder (PD) in neighborhoods using structured audits of Google Street View imagery for participants in the AACES, a multi-site population-based study of Black women newly diagnosed with OC. We then assessed whether neighborhood disadvantage (ND) and PD were associated with overall survival. We fit Weibull accelerated failure time models to assess the association of both PD and ND with survival among 471 Black women with OC (n = 317 deaths). Both PD (event time ratio (ETR), 0.99; 95% CI, 0.98, 1.00) and Area Deprivation Index (ETR: 0.96, 95% CI: 0.94, 1.00) were associated with shorter survival. The results suggest that both physical and social neighborhood characteristics may impact survival in woman with OC, but further research is warranted.

Comorbid conditions and survival among Black women with ovarian cancer

AbstractBackgroundBlack women with epithelial ovarian cancer (EOC) have worse survival and a higher burden of comorbid conditions compared with other racial groups. This study examines the association of comorbid conditions and medication use for these conditions with survival among Black women with EOC.MethodsIn a prospective study of 592 Black women with EOC, the Charlson comorbidity index (CCI) based on self‐reported data, three cardiometabolic comorbidities (type 2 diabetes, hypertension, and hyperlipidemia), and medication use for each cardiometabolic comorbidity were evaluated. Cox proportional hazards regression models were used to examine the association of comorbid conditions and related medication use with all‐cause mortality while adjusting for relevant covariates overall and by histotype (high‐grade serous [HGS]/carcinosarcoma vs. non‐HGS/carcinosarcoma) and stage (I/II vs. III/IV).ResultsA CCI of ≥2 was observed in 42% of the cohort, and 21%, 67%, and 34% of women had a history of type 2 diabetes, hypertension, and hyperlipidemia, respectively. After adjusting for prognostic factors, a CCI ≥2 (vs. 0; hazard ratio [HR], 1.33; 95% confidence interval [CI], 1.04–1.71) and type 2 diabetes (HR, 1.42; 95% CI, 1.10–1.84) were associated with an increased risk of mortality. The increased risk of mortality for type 2 diabetes was present specifically among women with HGS/carcinosarcoma (HR, 1.47; 95% CI, 1.10–1.97) and among women with stage III/IV disease (HR, 1.47; 95% CI, 1.10–1.98). The authors did not find evidence that hypertension, hyperlipidemia, or medication use for the cardiometabolic comorbidities meaningfully impacted survival.ConclusionComorbid conditions, especially type 2 diabetes, had a significant adverse impact on survival among Black women with EOC.

Psychosocial factors associated with genetic testing status among African American women with ovarian cancer: Results from the African American Cancer Epidemiology Study

BackgroundRacial disparities in the uptake of cancer genetic services are well documented among African American (AA) women. Understanding the multiple social and psychological factors that can influence the uptake of genetic testing among AA women is needed.MethodsData came from 270 AA women diagnosed with ovarian cancer and participating in a population‐based, case‐control study of ovarian cancer who were asked about genetic testing. Logistic regression analyses tested the associations of predisposing, enabling, and need factors with reported genetic testing uptake.ResultsOne‐third of the sample (35%) reported having had genetic testing. In the multivariable model, AA women with higher incomes had more than double the odds of being tested than those with the lowest income (odds ratio [OR] for $25,000‐$74,999, 2.04; 95% confidence interval [CI], 1.06‐3.99; OR for ≥$75,000, 2.32; 95% CI, 0.92‐5.94). AA women who reported employment discrimination were significantly less likely to report genetic testing than those who did not report job discrimination (OR, 0.39; 95% CI, 0.14‐0.95). Marital status, Medicaid versus other insurance, prayer frequency, and perceived social support were significantly associated with genetic testing uptake in bivariate analyses but were not significant contributors in multivariable analyses.ConclusionsConsistent with other studies of AA women, a minority of African American Cancer Epidemiology Study participants had undergone genetic testing. Having a lower income and experiencing job discrimination decreased the likelihood of testing. These results provide foundational evidence supporting the need for interventions to improve the uptake of genetic testing among AA women by reducing cost barriers and providing credible assurances that genetic results will be kept private and not affect social factors such as employability.

Sequential EHR Based Interventions to Increase Genetic Testing for Breast and Ovarian Cancer Predisposition

The goal of this sequential study design is to increase genetic testing in those meeting national clinical guidelines. The main question it aims to answer is: which intervention is most effective in uptake of genetic testing for the target population? Participants will receive genetic testing and counseling that may initiate life-saving screenings.