Improving Diabetes Outcomes and Health Disparities by Addressing Unmet Resource Needs- A Sequential Multiple Assignment, Randomized Trial
Improving Diabetes Outcomes and Health Disparities by Addressing Unmet Resource Needs- A Sequential Multiple Assignment, Randomized Trial
Unmet social needs and economic burden persist as key reasons why one-third of people with diabetes have poor disease control. The purpose of this study is to learn whether different tools and types of support may help people manage diabetes and related challenges. The study will compare several approaches to understand how they affect people's experiences and health over time. Completion of the study aims will lead to an optimized intervention to improve the health and social well-being of people with diabetes.
Participants will be randomly assigned to one or more interventions aimed at addressing social and financial needs and will complete multiple surveys over the course of a year. The study team will collect information about their blood pressure and HbA1c (blood glucose).
Findings will advance the field by determining the effectiveness of supportive interventions to address both social needs and diabetes self-care, and by informing protocols for the optimal sequencing of these strategies, a critical evidence gap in healthcare settings.
Multiple adverse social risks (e.g. food and/or housing insecurity, transportation challenges, social isolation) and out-of-pocket, disease-related expenses are key reasons 1/3 of people with diabetes have high A1cs. Through the CareAvenue mHealth intervention (R01DK116715), the investigators enhanced the original intervention of screening for social risks and connecting people with diabetes to resources by adding features for observational learning, autonomy support, action planning, and self-monitoring. The investigators observed low engagement with the intervention and effectiveness for only 5% of participants. Social support interventions (e.g. peer support, financial navigators, social workers) are more effective in addressing unmet social needs and self- care challenges than stand-alone technology tools. However, these strategies are more resource- and labor- intensive. Rather than dispensing the same fixed package of treatment components to all patients, an adaptive approach can conserve resources by initiating autonomy-supportive treatment, and stepping up treatments for those with suboptimal uptake. This R01 builds on the productivity, infrastructure, and investment of their prior work to address key knowledge gaps for uptake of social care assistance to improve disease outcomes.
The overarching goal of this study is to identify what type of supportive components are optimal for addressing unmet social needs and diabetes self-care, and which of five adaptive sequences of treatment results in better outcomes. The investigators will recruit 594 people with diabetes who have high A1cs, unmet social needs, and want assistance with their needs. They will use a Sequential Multiple Assignment Randomized Trial (SMART) design with 12-month follow-up to conduct this research. In Aim 1, they will determine which of five adaptive intervention sequences is optimal for reducing A1c compared to social needs app only (usual care): 1) App + peer support; 2) App + social worker; 3) App + technology-supported financial navigation; 4) App + peer support + social worker; 5) App + peer support + technology-supported financial navigation. In Aim 2, they will determine which of two augmented treatment adaptations is optimal for reducing A1c among non-responders: social worker or technology-supported financial navigation. In exploratory Aim 2A, they will identify patient-level moderators of treatment effect to inform personalized, resource-efficient protocols. In Aim 3, they will estimate the cost-effectiveness of five adaptive intervention sequences.
The result of this SMART study will be an optimized, adaptive intervention to improve the health and social well-being of people with diabetes by determining the most effective intervention strategies.
Inclusion Criteria:
Participants:
Positive report of financial burden using validated screening questions; Medicaid or dual Medicare/Medicaid coverage; Income ≤250% of the federal poverty level; Self-identified as ALICE (Asset-Limited, Income-Constrained, Employed): income above Medicaid threshold but reporting difficulty affording basic needs; Underinsured: high-deductible plan (≥$1,500 individual/$3,000 family) with self-reported difficulty affording healthcare costs; Positive screen for one or more social risk factors on PRAPARE or equivalent (food insecurity, housing instability, transportation barriers, utility insecurity);
Peer Supporters:
Exclusion Criteria:
Participants:
Peer Supporters:
minalrp@umich.edu734-763-0087