Trials / Completed
CompletedNCT02418091
Integrated Population Program for Diabetic Kidney Disease
STOP-DKD Automated Population Program (APP)
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 131 (actual)
- Sponsor
- Duke University · Academic / Other
- Sex
- All
- Age
- 18 Years – 75 Years
- Healthy volunteers
- Not accepted
Summary
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
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| BEHAVIORAL | Telehealth | 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. |
Timeline
- Start date
- 2015-03-01
- Primary completion
- 2016-09-01
- Completion
- 2016-09-01
- First posted
- 2015-04-16
- Last updated
- 2016-11-21
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT02418091. Inclusion in this directory is not an endorsement.