Integrated Population Program for Diabetic Kidney Disease
STOP-DKD APP
STOP-DKD Automated Population Program (APP)
2 other identifiers
interventional
131
1 country
1
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
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2015
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 1, 2015
CompletedFirst Submitted
Initial submission to the registry
March 20, 2015
CompletedFirst Posted
Study publicly available on registry
April 16, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2016
CompletedNovember 21, 2016
November 1, 2016
1.5 years
March 20, 2015
November 18, 2016
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Blood Pressure
Baseline & 6months
Secondary Outcomes (5)
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
Change in taking medicine as prescribed
Baseline& 6month
Study Arms (2)
Intervention Telehealth
EXPERIMENTALUsing 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.
Control/No Intervention
NO INTERVENTIONGroup of subjects that will serve as a comparison group. These subjects will not be approached/enrolled for this study.
Interventions
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.
Eligibility Criteria
You may not qualify if:
- No access to telephone
- Not proficient in English
- Nursing home/long-term care facility resident or receiving home health care
- Impaired hearing/ speech/ vision
- Participating in another trial (pharmaceutical or behavioral)
- Planning to leave the area in the next 3 years
- Pancreatic insufficiency or diabetes secondary to pancreatitis
- Alcohol abuse (\>14 alcoholic beverages/ wk)
- Diagnosis of non-diabetic kidney disease
- Active malignancy (other than non-melanomatous skin cancer)
- Diagnosis of life-threatening disease with death probable within 4 years.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Duke Clinical Research Institute
Durham, North Carolina, 27715, United States
Related Publications (1)
Lewinski AA, Patel UD, Diamantidis CJ, Oakes M, Baloch K, Crowley MJ, Wilson J, Pendergast J, Biola H, Boulware LE, Bosworth HB. Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention. J Med Internet Res. 2019 Apr 9;21(4):e12541. doi: 10.2196/12541.
PMID: 30964439DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Uptal Patel, MD, PhD
Duke University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 20, 2015
First Posted
April 16, 2015
Study Start
March 1, 2015
Primary Completion
September 1, 2016
Study Completion
September 1, 2016
Last Updated
November 21, 2016
Record last verified: 2016-11