Improving diabetes and depression self-management via adaptive mobile messaging (DIAMANTE study)
The main aim of the “Diabetes and Mental Health Adaptive Notification Tracking and Evaluation” trial (DIAMANTE) is to test a smartphone intervention that generates adaptive messaging, learning from daily patient data to personalize the timing and type of text-messages. We will compare the adaptive content to 1. a uniform random messaging intervention, in which the messaging content and timing will be delivered with equal probabilities (i.e. not adapted by a learning algorithm) 2. a control condition that only delivers a weekly mood message. By targeting both diabetes and depression, our research will lead to services that are responsive to the realities of these comorbid disorders and will likely have greater impact than interventions that focus only on one disease or the other.
We utilized user-centered design (UCD) methods to iteratively develop the DIAMANTE content and text messaging system through three iterative phases of UCD with ten patients each (total n=30). The first phase consisted of 1.5-hour individual semi-structured interviews. Findings from phase 1 were used to inform content and information delivery decisions of the final intervention, including selecting the thematic message categories and the design. In the second phase, patients tested out an early prototype of the mobile application through usability testing. Patients tested the final DIAMANTE intervention including thematic message content and the application in the third, final UCD phase, in order to address any user-related issues prior to launching the randomized control trial.