This study will build a population management system Simultaneous risk factor control using Telehealth to slOw Progression of Diabetic Kidney Disease STOP-DKD Application STOP-DKD APP and conduct a 6-month controlled trial to compare reduction of blood pressure. In addition, the study will evaluate the feasibility of future large-scale intervention to slow diabetic kidney disease (DKD) DKD progression. Aim 1: Identify patients with moderate DKD and uncontrolled hypertension (HTN) using existing electronic health record data in an integrated data warehouse (Southeastern Diabetes Initiative- SEDI) to screen all patients within SEDI. Aim 2: Implement an intervention designed to slow progression of DKD and treat associated conditions in a high-risk population with moderate DKD and uncontrolled HTN using the STOP-DKD APP * Primary Outcome: Test the hypothesis that patients who receive the intervention will have greater improvements in blood pressure as compared to a control group after 6 months * Secondary Outcomes: Exploratory analyses to determine whether patients who receive the intervention will have less progression (defined as a smaller decrease in kidney function), and improved behaviors that affect HTN control and cardiovascular risk (medication adherence, diet, physical activity, and weight control) as compared to a control group after 6 months Aim 3: Evaluate the STOP-DKD APP Study to guide large-scale implementation \& dissemination * Impact Evaluation: Assess the potential population impact of our intervention using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework * Economic Evaluation: Conduct an economic evaluation using the Archimedes Model by estimating projected costs and quality-adjusted life-years
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
131
Using Telehealth to slow progression of diabetic kidney disease automated population program identifies patients and engages them to optimize DKD medication adherence and health behaviors using 2-way communication via patient-selected technology (mobile/web-based applications, text messaging, interactive voice response, or e-mail) backed by case management via the phone for suboptimal control or health status. The STOP-DKDAutomated Population Program will deliver a tailored, multi-factorial intervention to address medication self-management and modify multiple risk factors simultaneously through a combination of patient self-monitoring, behavioral therapies and education that optimize adherence and self-efficacy.
Duke Clinical Research Institute
Durham, North Carolina, United States
Change in Blood Pressure
Time frame: Baseline & 6months
Change in estimated Glomerular filtration rate (eGFR) for kidney function
Time frame: Baseline & 6months
Change in dietary habits as measured by questionnaire
Time frame: Baseline & 6month
Change in weight
Time frame: Baseline & 6month
Change in amount of physical activity as measured by questionnaire
Investigators will assess whether patients who receive the intervention will have improved behaviors that affect HTN control and cardiovascular risk ( physical activity) as compared to a control group after 6 months
Time frame: Baseline & 6month
Change in taking medicine as prescribed
Investigators will assess whether patients who receive the intervention will have improved behaviors that affect HTN control and cardiovascular risk (medication adherence) as compared to a control group after 6 months
Time frame: Baseline& 6month
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