Understanding the relationship between positive and negative social support and the quality of life among African American breast cancer survivors

PURPOSE: Social support improves several quality of life (QOL) domains among African American breast cancer survivors. How different dimensions of social support are associated with QOL among African American breast cancer survivors may however differ from other populations. This study explores this hypothesis by examining associations of positive social support (supportive interactions that promote affection) and negative social support (non-supportive interactions wherein the provider of support may not have the best intended actions) with QOL among Chicago-based African American breast cancer survivors. METHODS: Study participants were eligible if they (1) were identified as being an African American female, (2) were at least 18 years of age or older, and (3) were diagnosed with breast cancer during or after navigation was implemented at the study hospital. Participants completed validated questionnaires via telephone or in-person interviews. RESULTS: Among our sample of 100 participants, positive support was associated with greater mental well-being in non-imputed (Std β=1.60, CI: 0.51, 2.69, p= 0.004) and imputed models (Std β= 1.67, CI: 0.68, 2.73, p=0.001). There was also a weaker inverse association with negative support and mental well-being when using non-imputed data (Std β=-0.82, CI:-1.65, 0.02, p= 0.05). CONCLUSIONS: Our findings suggest that positive support, in particular, is highly influential for improving mental well-being among African American breast cancer survivors. Simultaneously, negative support appears to be an independent, albeit weaker, determinant of mental well-being

Navigated African American breast cancer patients as incidental change agents in their family/friend networks

Background: Patient navigation is an increasingly widespread intervention to address the persistent, severe, and disproportionate breast cancer (BC) burden that African Americans (AA) face. Navigation may have more widespread effects than previously estimated due to patient-driven diffusion of BC information. Methods: This pilot study examined the network effects of a randomized controlled trial via recruitment of navigated and non-navigated AA BC patients as well as their network members. We estimated study arm differences in patient BC promotion (i.e., number of individuals to whom BC patients promote BC screening) and network BC screening (i.e., % BC screening among network members). Results: Among our sample of 100 AA BC patients, navigated patients promoted BC screening to more individuals than non-navigated patients. BC patients were more likely to promote BC screening to children and individuals with whom they communicated more frequently. Some models further suggested more network BC screening among navigated network members relative to non-navigated network members. Conclusions: Navigated AA patients promoted BC screening more widely throughout their networks than non-navigated AA BC patients. There were also suggestive findings regarding increased BC screening among their network members. Our pilot study highlights the potential for social network analysis to improve the precision of intervention effect estimates and to inform future innovations (e.g., integrating navigation and network-based interventions) with multilevel effects on cancer health disparities

The integration of value assessment and social network methods for breast health navigation among African Americans

Objectives: A major strategy to reduce the impact of breast cancer (BC) among African Americans (AA) is patient navigation, defined here as individualized assistance for reducing barriers to healthcare use. The primary focus of this study was to estimate the added value of incorporating breast health promotion by navigated participants and the subsequent BC screenings that network members may obtain. Methods: In this study, we compared the cost-effectiveness of navigation across two scenarios. First, we examine the effect of navigation on AA participants (scenario 1). Second, we examine the effect of navigation on AA participants and their networks (scenario 2). We leverage data from multiple studies in South Chicago. Our primary outcome (BC screening) is intermediate, given limited available quantitative data on the long-term benefits of BC screening for AA populations. Results: When considering participant effects alone (scenario 1), the incremental cost effectiveness ratio (ICER) was $3,845 per additional screening mammogram. When including participant and network effects (scenario 2), the ICER was$1,098 per additional screening mammogram. Conclusion: Our findings suggest that inclusion of network effects can contribute to a more precise, comprehensive assessment of interventions for underserved communities