Diabetic Kidney Disease, Uncontrolled Hypertension
Conditions
Keywords
patients with moderate DKD and uncontrolled HTN
Brief 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
Interventions
BEHAVIORALTelehealth
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.
Sponsors
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Duke University
Study design
Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
Potentially eligible patients will be identified using the existing SEDI (Southeastern Diabetes Initiative) data warehouse that pulls electronic health record data quarterly from ten different source systems in the four counties. * Adults (age ≥18 and 75 years); * Diagnosis of type 2 diabetes (ICD-9 codes 250.x0, 250.x2); * Have at least 2 serum creatinine values available in the 3 prior years, separated by at least 3 months; * Preserved kidney function (based upon the last year's eGFR average of between 45-90 ml/min/1.73m2, estimated by calculating an eGFR using the 4-variable Modification of Diet in Renal Disease study equation); * Evidence of diabetic nephropathy (Either: 1. presence of macroalbuminuria; 2. history of microalbuminuria prior to ACE (angiotensin-converting enzyme) inhibitor or angiotensin receptor blocker (ARB) therapy; 3. previous documentation of diabetic retinopathy or laser therapy; 4. if only microalbuminuria and no #3, then urinalysis without hematuria, and no other renal etiologies \[i.e., glomerulonephritis, polycystic kidney disease, membranous nephropathy, renal artery stenosis\]) * Uncontrolled HTN (1y mean clinic SBP≥140 and/or DBP≥90).
Exclusion criteria
Patients who meet any one of the
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Change in Blood Pressure | Baseline & 6months |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in estimated Glomerular filtration rate (eGFR) for kidney function | Baseline & 6months | — |
| Change in dietary habits as measured by questionnaire | Baseline & 6month | — |
| Change in weight | Baseline & 6month | — |
| Change in amount of physical activity as measured by questionnaire | Baseline & 6month | 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 |
| Change in taking medicine as prescribed | Baseline& 6month | 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 |
Countries
United States
Outcome results
None listed