Zuckerberg San Francisco General Hospital/University of California, San Francisco
San Francisco, California, 94110, United States
NCT Number: NCT03490253
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 static messaging intervention with health management and educational messages and 2. a control condition that receives a weekly mood message. The primary outcomes for this aim will be improvements in physical activity at 6-month follow-up defined by daily step counts.
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Notify Me18 year–75 year
All sexes
Interventional
Not applicable
San Francisco, California, 94110, United States
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.
In the DIAMANTE Randomized Controlled Trial, we aim to examine the effect of a smartphone app that uses reinforcement learning to predict the most effective messages for increasing physical activity. We will recruit 276 low-income minority patients with depression and diabetes within he San Francisco Health Network. We will compare this intervention to static messages with health management content, and a control group that only receives a weekly mood message.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
In a three arm randomized controlled trial we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen by a reinforcement learning algorithm.
Other names: Adaptive Mobile Messaging
The static intervention group receives health information text-messages, typical of existing text-messaging interventions for diabetes and depression.
Other names: Static Mobile Messaging
Time frame: 6 months
Our primary outcome, change in daily step counts, will be passively collected by a mobile phone application during the time that patients remain in the intervention.
Time frame: 6 months
We will derive HbA1c, the average plasma glucose over the previous eight to 12 weeks, recommended as a means to diagnose diabetes (20), from patients' electronic health records (EHR). We will use the most recent, available measurement from a maximum of 12 months before participating in the study. After 6 months, we will again assess the most recent HbA1c (pulling from patients EHR), ensuring that at least 3 months elapsed between baseline and follow-up HbA1c levels.
Time frame: 6 months
We will compare the self-reported PHQ-8 from medical records at baseline, intervention completion, and at the 6 month follow-up.
University of California, San Francisco
Other
Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging
Acronym: DIAMANTE
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