Yamilé Molina1,2, Shaila M Strayhorn3, Nyahne Q Bergeron4, Desmona C Strahan4, Dana Villines5, Veronica Fitzpatrick5, Elizabeth A Calhoun6, Marian L Fitzgibbon4, Sage J Kim4, Karriem S Watson7, Aditya S Khanna8. 1. Mile Square Health Center, Chicago, IL, USA. ymolin2@uic.edu. 2. University of Illinois Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA. ymolin2@uic.edu. 3. University of North Carolina Wilmington, Wilmington, NC, USA. 4. University of Illinois Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA. 5. Advocate Aurora Research Institute, Downers Grove, IL, USA. 6. University of Kansas, Kansas City, KS, USA. 7. National Institutes of Health, Bethesda, MD, USA. 8. Brown University, Providence, RI, USA.
Abstract
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.
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.
Authors: Yamile Molina; Ashley Scherman; Tara Hayes Constant; Bridgette Hempstead; Jacci Thompson-Dodd; Shayla Richardson; Shauna Rae Weatherby; Kerryn W Reding; Rachel M Ceballos Journal: Support Care Cancer Date: 2016-02-19 Impact factor: 3.603
Authors: Sage J Kim; Anne Elizabeth Glassgow; Karriem S Watson; Yamile Molina; Elizabeth A Calhoun Journal: Cancer Date: 2018-09-24 Impact factor: 6.860
Authors: Ganga Vijayasiri; Yamile Molina; Ifeanyi Beverly Chukwudozie; Silvia Tejeda; Heather A Pauls; Garth H Rauscher; Richard T Campbell; Richard B Warnecke Journal: J Health Dispar Res Pract Date: 2018
Authors: Vida Henderson; Shaila M Strayhorn; Nyahne Q Bergeron; Desmona C Strahan; Pamela S Ganschow; Aditya S Khanna; Karriem Watson; Kent Hoskins; Yamile Molina Journal: Cancer Control Date: 2022 Jan-Dec Impact factor: 2.339