Development and Feasibility Testing of a Diabetes Mellitus Program Using Behavioral Economics to Optimize Outreach and Self-management Support With Technology.
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Diabetes Mellitus, Type 2
- Sponsor
- Daniel Amante
- Enrollment
- 66
- Locations
- 1
- Primary Endpoint
- Completion of diabetes self-management training (Aim 3)
- Status
- Completed
- Last Updated
- 2 years ago
Overview
Brief Summary
DM-BOOST uses clinical informatics tools to identify types of patients with gaps in diabetes care and deploy tailored, proactive outreach methods rooted in behavioral economics to nudge them towards increased engagement with diabetes self-management training and leverage patient-facing technologies to enhance longitudinal patient self-management support.
Detailed Description
In DM-BOOST, the Principal investigator will deploy a mixed-methods, patient-centered approach to intervention development and initiate a multiphase optimization strategy (MOST) to learn how to maximize patient engagement and support of self-management training. In this pilot, study team will complete the first phase (Preparation), and initiate feasibility piloting of the second phase (Optimization). Completion of optimization and MOST's final phase (Evaluation), will occur in a subsequent project. In the preparation phase, Principal investigator will first analyze EHR and claims data in the UMCCTS data lake to identify sociodemographic characteristics associated with gaps in diabetes care to develop patient persona archetypes (Aim 1). Next, Principal investigator will selectively recruit patients of identified persona types as consultants, elicit stakeholder feedback during community engagement studios and conduct usability testing to iteratively design the intervention (Aim 2). Study team will then conduct a feasibility pilot (Aim 3) to assess user experience of the intervention implementation and collect exploratory outcome data to be used to inform a subsequent, complete optimization trial.
Investigators
Daniel Amante
Assistant Professor
University of Massachusetts, Worcester
Eligibility Criteria
Inclusion Criteria
- •Adults (age 18+)
- •Cognitively able to consent (Aims 2 and 3)
- •Diagnosed with type 2 diabetes (Aims 1-3)
- •Receive primary care at UMMHC in past 12 months at time of initial analysis (Aims 1-3)
- •English speaking (Aims 2 and 3)
- •Have access to patient portal or a smart phone (Aim 3)
Exclusion Criteria
- •Adults unable to consent (lacking cognitive capacity) (Aims 2 and 3)
- •Individuals who are not yet adults (infants, children, teenagers) (Aims 1-3)
- •Pregnant women (Aims 1-3)
- •Prisoners (Aims 1-3)
- •Non-English speaking (Aims 2 and 3)
Outcomes
Primary Outcomes
Completion of diabetes self-management training (Aim 3)
Time Frame: 9 months
Completion of diabetes self-management training.
Intervention Acceptability (Aim 2)
Time Frame: 1 month
Patient-reported assessment of intervention acceptability via usability testing. Qualitative data collection informed by the Technology Acceptance Model with assessment of perceived usefulness, ease of use, behavioral intention to use and external factors. No quantitative data measured.
Secondary Outcomes
- Clinical utilization (Aim 3)(9 months)
- Diabetes self-efficacy (Aim 3)(3 months)
- Diabetes treatment satisfaction (Aim 3)(3 months)
- Diabetes self-management skills (Aim 3)(3 months)
- Hemoglobin A1C (HbA1C) (Aim 3)(6 months)
- Patient engagement with Diabetes Self-Management Training (Aim 3)(9 months)