Medicaid
An evidence-based framework for creating inclusive and personalized mHealth solutions-designing a solution for Medicaid-eligible pregnant individuals with uncontrolled type 2 diabetes.
Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: Clinical trial protocol for the ACHIEVE study.
Bridging the digital health divide: Characterizing patient portal users and nonusers in the U.S.
Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study.
Identifying high need primary care patients using nursing knowledge and machine learning methods.
Factors related to biological sex differences in engagement with healthcare providers in persons living with HIV.
ACHIEVE: Successfully Achieving and Maintaining Euglycemia During Pregnancy for Type 2 Diabetes Through Technology and Coaching
To assist pregnant individuals with pre-pregnancy type 2 diabetes with Medicaid coverage in reaching and maintaining normal blood sugars, this research will develop, test, and evaluate a digital health solution called ACHIEVE that includes a mobile health application, a provider dashboard, continuous glucose monitoring, and team-based coaching for medical needs and nonmedical health-related social needs.
Improving Technology Innovation in Medicaid Programs
This effort will convene a workshop entitled “Workshop to Inform Technology Innovation and Research for Medicaid Programs” to identify challenges faced by Medicaid beneficiaries and programs that are amenable to technology, ideate prototype solutions, and disseminate the findings.
Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients
This research will integrate cross-sector care alerts and interoperable personalized care planning into the existing Coordinating Transitions Intervention (CTI) tool and evaluate the impact of the revised tool on patient burden, care team collaboration, and utilization value for high-need, high-cost patients.