Social Disparities of Pain and Pain Intensity Among Women Diagnosed With Early Stage Breast Cancer.

BACKGROUND: Breast cancer is one of the most commonly diagnosed cancers among women in the United States and pain is the most common side effect of breast cancer and its treatment. Yet, the relationships between social determinants of pain and pain experience/intensity remain under-investigated. We examined the associations between social determinants of pain both at the individual level and the neighborhood level to understand how social conditions are associated with pain perception among early stage breast cancer patients. METHODS: We conducted integrated statistical analysis of 1,191 women with early stage breast cancer treated at a large cancer center in Memphis, Tennessee. Combining electronic health records, patient-reported data and census data regarding residential address at the time of first diagnosis, we evaluated the relationships between social determinants and pain perception. Pain responses were self-reported by a patient as a numerical rating scale score at the patient's initial diagnosis and follow-up clinical visits. We implemented two sets of statistical analyses of the zero-inflated Poisson model and estimated the associations between neighborhood poverty prevalence and breast cancer pain intensity. After adjustment for demographic characteristics, cancer stage, and chemotherapy, pain perception was significantly associated with poverty and blight level of the neighborhood. RESULTS: Among women living in the highest-poverty areas, the odds of reporting pain were 2.48 times higher than those in the lowest-poverty area. Women living in the highest-blight area had 5.43 times higher odds of reporting pain than those in the lowest-blight area. Neighborhood-level social determinants were significantly associated with pain intensity among women diagnosed with early-stage breast cancer. CONCLUSIONS: Distressed neighborhood conditions are significantly associated with higher pain perception. Breast cancer patients living in socio-economically disadvantaged neighborhoods and in poor environmental conditions reported higher pain severity compared to patients from less distressed neighborhoods. Therefore, post-diagnosis pain treatment design needs to be tailored to the social determinants of the breast cancer patients.

Race, Preoperative Risk Factors, and Death After Surgery.

BACKGROUND AND OBJECTIVES: African American children are more than twice as likely to die after surgery compared with white children. In this study, we evaluated whether risk factors for death after surgery differ for African American and white children, and we also assessed whether race-specific risk stratification models perform better than non-race-specific models. METHODS: The National Surgical Quality Improvement Program Pediatric Participant Use Data File contains clinical data on operations performed on children at participating institutions in the United States. Variables predictive of death within 30 days of surgery were analyzed for differences in prevalence and strength of association with death for both African American and white children. Classification tree and network analysis were used. RESULTS: Network analyses revealed that the prevalence of preoperative risk factors associated with death after surgery was significantly higher for African American than for white children. In addition, many of the risk factors associated with death after surgery carried a higher risk when they occurred in African American children. Race-specific risk models provided high accuracy, with a specificity of 94% and a sensitivity of 83% for African American children and a specificity of 96% and a sensitivity of 77% for white children, and yet these 2 models were significantly different from each other. CONCLUSIONS: Race-specific models predict outcomes after surgery more accurately compared with non-race-specific models. Identification of race-specific modifiable risk factors may help reduce racial disparities in surgery outcome.