This study tests whether a support program led by a nurse case manager and community health worker can help patients with type 2 diabetes manage their medications after leaving the hospital. Many patients with diabetes take multiple medications, and changes to these medications during hospital stays can cause confusion and lead to missed doses or incorrect use. This is especially common in communities with limited access to healthcare. The study uses a computer-based tool called MEDBRIDGE (MEDication BRIDGE) to identify patients who may be at higher risk for problems after discharge, such as worsening blood sugar control or return visits to the emergency department. Patients identified as high-risk will receive 3 months of support from a nurse case manager and community health worker team, who will help with medication questions, coordinate with their doctor, and provide follow-up check-ins. The main goal is to find out whether this type of support program is practical to deliver and acceptable to patients. The study will also track changes in blood sugar levels and emergency department visits. Forty-five patients will be enrolled over 6 months at the University of Alabama at Birmingham and Cooper Green Mercy Health Services in Jefferson County, Alabama.
This single-arm feasibility pilot evaluates a MEDBRIDGE-guided nurse case manager (NCM) and community health worker (CHW) post-discharge support intervention for high-risk patients with type 2 diabetes (T2D). MEDBRIDGE is an AI-driven risk stratification tool that integrates medication data, clinical factors, and social determinants of health from electronic health records to identify patients at elevated risk of HbA1c elevation, diabetes-related emergency department visits, and hospitalizations within 3 months post-discharge. The intervention follows a four-phase workflow: (1) Risk Assessment, where the NCM reviews the daily MEDBRIDGE-generated high-risk patient list; (2) Initial Patient Contact, where the NCM/CHW team initiates contact after discharge to review medications and identify discrepancies; (3) Ongoing Support, where the CHW provides monthly check-ins to monitor adherence, address barriers, and coordinate with primary care providers; and (4) Transition to Routine Care, where the team facilitates handoff to the patient's primary care provider with a summary of activities and recommendations. Primary outcomes include feasibility (recruitment rate, retention rate), patient acceptability (Acceptability of Intervention Measure), and intervention fidelity (NCM/CHW contact log adherence). Secondary outcomes include HbA1c change, diabetes-related emergency department visits, and diabetes-related hospitalizations within 3 months post-discharge, analyzed descriptively and compared with non-intervention high-risk patients identified by MEDBRIDGE. The study is conducted at the University of Alabama at Birmingham (UAB) Hospital and Cooper Green Mercy Health Services, a county-owned safety-net facility serving predominantly low-income and uninsured residents of Jefferson County, Alabama. The patient population is characterized by higher rates of medication complexity, limited health literacy, and social vulnerability. Approximately 20 UAB hospitalizations involve Cooper Green patients with T2D each month, providing a sufficient recruitment base for the target enrollment of 45 patients over a 6-month recruitment window.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
45
A 3-month post-discharge care coordination intervention delivered by a nurse case manager (NCM) and community health worker (CHW) team, guided by MEDBRIDGE AI-driven risk stratification. The intervention follows a four-phase workflow: (1) Risk Assessment, where the NCM reviews the daily MEDBRIDGE-generated high-risk patient list; (2) Initial Patient Contact, where the NCM/CHW team initiates contact after discharge to review medications and identify discrepancies; (3) Ongoing Support, where the CHW provides monthly check-ins to monitor adherence, address barriers, and coordinate with primary care providers; and (4) Transition to Routine Care, where the team facilitates handoff to the patient's primary care provider with a summary of activities and recommendations. Participants receive a minimum of 3 contacts over the intervention period.
University of Alabama at Birmingham
Birmingham, Alabama, United States
Cooper Green Mercy Health Services
Birmingham, Alabama, United States
Recruitment Rate
Number of patient enrollments per month compared against threshold of 6 enrollments per month. Enrollment rate calculated as the percentage of eligible patients (based on MEDBRIDGE recommendations) who enrolled in the intervention (completed first interaction); target 50% or higher.
Time frame: 6-month recruitment window
Retention Rate
Percentage of enrolled patients completing each round of the intervention (first, second, and up to the final round). Target completion rate of 60% or higher. Estimated 85% retention per subsequent interaction, yielding approximately 61% final retention.
Time frame: 3 months post-enrollment
Patient Acceptability
Patient scores on the Acceptability of Intervention Measure (AIM), assessed using a 5-point Likert scale. Target mean score of 4 or higher. Surveys assess comfort with the intervention process and communication with the NCM/CHW team.
Time frame: End of 3-month intervention
Intervention Fidelity
NCM/CHW self-report logs including interaction start and end timestamps and a checklist of core intervention components performed, compared against adherence threshold of 0.85. Bi-weekly supervision sessions review logs to ensure protocol adherence.
Time frame: Throughout 3-month intervention
HbA1c Change
Continuous variable of HbA1c change calculated for each patient using HbA1c self-check at baseline and 3 months. An indicator variable on whether HbA1c reduction exceeds 0.5% will be created. Values descriptively compared with non-intervention high-risk patients identified by MEDBRIDGE.
Time frame: 3 months post-discharge
Diabetes-Related Emergency Department Visits
Count of diabetes-related emergency department visits identified through retrospective EHR data review. Values descriptively compared with non-intervention high-risk patients identified by MEDBRIDGE.
Time frame: 3 months post-discharge
Diabetes-Related Hospitalizations
Count of diabetes-related hospitalizations identified through retrospective EHR data review. Values descriptively compared with non-intervention high-risk patients identified by MEDBRIDGE.
Time frame: 3 months post-discharge
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