Publications

We evaluated whether a 76-locus polygenic risk score (PRS) and Breast Imaging Reporting and Data System (BI-RADS) breast density were independent risk factors within three studies (1643 case patients, 2397 control patients) using logistic regression models. We incorporated the PRS odds ratio (OR) into the Breast Cancer Surveillance Consortium (BCSC) risk-prediction model while accounting for its attributable risk and compared five-year absolute risk predictions between models using area under the curve (AUC) statistics. All statistical tests were two-sided. BI-RADS density and PRS were independent risk factors across all three studies (P interaction = .23). Relative to those with scattered fibroglandular densities and average PRS (2(nd) quartile), women with extreme density and highest quartile PRS had 2.7-fold (95% confidence interval [CI] = 1.74 to 4.12) increased risk, while those with low density and PRS had reduced risk (OR = 0.30, 95% CI = 0.18 to 0.51). PRS added independent information (P < .001) to the BCSC model and improved discriminatory accuracy from AUC = 0.66 to AUC = 0.69. Although the BCSC-PRS model was well calibrated in case-control data, independent cohort data are needed to test calibration in the general population.

Burnout and professional dissatisfaction are threats to the primary care workforce. We investigated the relationship between panel management capability, team culture, cynicism, and perceived "do-ability" of primary care among primary care providers (PCPs) and staff in primary care practices. We surveyed 326 PCPs and 142 staff members in 10 county-administered, 6 university-run, and 3 Veterans Affairs primary care clinics in a large urban area in 2013. Predictor variables included capability for performing panel management and perception of team culture. Outcome variables included 2 work experience measures--the Maslach Burnout Inventory cynicism scale and a 1-item measure of the "do-ability" of primary care this year compared with last year. Generalized Estimation Equation (GEE) models were used to account for clustering at the clinic level. Greater panel management capability and higher team culture were associated with lower cynicism among PCPs and staff and higher reported "do-ability" of primary care among PCPs. Panel management capability and team culture interacted to predict the 2 work experience outcomes. Among PCPs and staff reporting high team culture, there was little association between panel management capability and the outcomes, which were uniformly positive. However, there was a strong relationship between greater panel management capability and improved work experience outcomes for PCPs and staff reporting low team culture. Team-based processes of care such as panel management may be an important strategy to protect against cynicism and dissatisfaction in primary care, particularly in settings that are still working to improve their team culture.