Enhancing Shared Decision-making to Prompt and Guide Individualized Care for People With Alzheimer's Disease and Diabetes
Enhancing Shared Decision-making to Prompt and Guide Individualized Care for People With Alzheimer's Disease and Diabetes
The goal of this study is to test CGM ASSIST. This is a digital tool that uses an interactive information display-an easy-to-read screen designed to help people with dementia (or memory loss) and diabetes, as well as their caregivers and doctors.
Managing diabetes is often difficult for people with memory issues. This study uses a Continuous Glucose Monitor (CGM), which is a device that tracks blood sugar levels in real-time. CGM ASSIST adds a new way to see this data through interactive displays. These displays show clear information and medical guidelines to help patients and caregivers make sense of the glucose readings.
The study aims to:
By using these interactive displays, the researchers hope to make it easier for families to understand their health needs and communicate better with their medical team.
Participants will:
Background and Clinical Significance Over 11 million Americans aged 65 and older live with diabetes mellitus (DM), and an estimated 13-20% of this population also has Alzheimer's disease and related dementias (ADRD). Hypoglycemia is a serious and frequent complication in this population, affecting 10-25% of patients and increasing the risk of coma, macrovascular events, and death.
A harmful cycle exists in ADRD-DM management: cognitive impairment hinders the detection of hypoglycemia and the management of glucose levels, while low glucose levels further impair cognition. Although clinical guidelines recommend de-intensifying medications and simplifying routines to reduce risk, these guidelines are often not implemented in clinical practice.
The Role of Continuous Glucose Monitoring (CGM) Continuous glucose monitoring (CGM) devices are effective tools for detecting hypoglycemia by tracking glucose levels every 5-15 minutes. While CGM has proven feasible in older adults without cognitive impairment, research indicates that standard CGM data reports are often difficult for patients and caregivers to interpret. This lack of interpretability creates a barrier to shared decision-making regarding behavior modifications, glycemic targets, and medication de-intensification.
Study Objective: CGM ASSIST This study aims to address these translational gaps by developing and testing CGM ASSIST. This intervention adapts standard CGM technology by adding interactive information displays (novel companion information guides) designed specifically for the ADRD-DM population and their caregivers.
The study follows a multi-phase approach:
Characterization of Needs: Identifying the unmet needs and decision-making processes of patient-caregiver dyads using CGM.
User-Centered Design: Engaging patients, caregivers, and clinicians in a design process to create the CGM ASSIST interactive reports.
Pilot Testing: Conducting a clinical trial to assess the feasibility, usability, and impact of the CGM ASSIST reports on shared decision-making and individualized care.
The long-term goal of this research is to improve the characterization of decision-making in adults with MCI and ADRD and to provide tools that help families identify and address unmet medical needs through better interpretation of clinical data.
Patient-Caregiver Dyad Inclusion Criteria:
Patient-Caregiver Dyad Exclusion Criteria:
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