Our study results will provide promising venues for leveraging systems science methodologies in clinical trial evaluation.
laboratory to conduct investigations where purely empirical research may be infeasible or unethical; and, 2) offering a more precise measurement of intervention benefits across individual, network, and population levels. We propose to assess the potential of systems sciences methodologies by quantifying the spillover effects of randomized controlled trial via empirical social network analysis and agent-based models (ABM).
network members. Second, we will compare cost-effectiveness models, using a provider perspective, incorporating effects on trial participants versus trial participants and network members. Third, we will develop an ABM platform, parameterized using published data sources and PNMUA data, to examine if navigation increases the proportion of early stage breast cancer diagnoses.
Molina Y, Khanna A, Watson KS, Villines D, Bergeron N, Strayhorn S, Strahan D, Skwara A, Cronin M, Mohan P, Walton S, Wang T, Schneider JA, Calhoun EA. (2019). Leveraging system sciences methods in clinical trial evaluation: An example concerning African American women diagnosed with breast cancer via the Patient Navigation in Medically Underserved Areas study. Contemporary clinical trials communications, (15)