(1) To identify communication profiles of cancer patient-partner couples based on ecological momentary assessment and observational data collected in the prior grant. (2) To examine the predictive relationship of these communication profiles to outcomes. (3a) To develop, using machine learning, a brief self-report screening tool that will identify couples most at risk for poor outcomes. (3b) To concurrently and prospectively validate this brief self-report screening tool in a new sample of 270 couples.

To co-create a digitally enhanced T2D self-management intervention tailored to the education and support needs of low-income adults newly diagnosed with T2D or with poorly controlled glycemia. The intervention will be pilot tested within a Federally Qualified Healthcare Center to determine its feasibility, acceptability, and preliminary effects on engagement in self-management behaviors and diabetes self-management education classes.

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