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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01NR019594-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Nursing Research (NINR) | NIH |
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The purpose of this study is to investigate whether the self-management of diabetes and hypertension can be improved with the use of mobile monitoring devices and nursing support.
EXpanding Technology-Enabled, Nurse-Delivered Chronic Disease Care (EXTEND) seeks to address evidence gaps that prevent practical use of mobile monitoring-enabled telehealth for clinic-refractory chronic diseases, with an initial focus on Persistent Poorly Controlled Diabetes Mellitus (PPDM) and hypertension. Because our population has already proven refractory to usual care, we will conduct an active comparator randomized trial (N=220) of two 12-month interventions: 1) mobile monitoring as a self-management tool (EXTEND); and 2) a nurse-delivered intervention incorporating mobile monitoring, self-management support, and medication management (EXTEND Plus). The medication management is a care team approach where the nurse works with a Pharmacist who has prescribing rights to optimize medications for the patients. This proposal will also allow us to examine a novel application for mobile monitoring technologies, as tools for predicting patient safety events.
Aim 1: Compare the effectiveness of the two 12-month EXTEND interventions for PPDM and hypertension. Hypothesis 1a: Compared to EXTEND, EXTEND Plus will improve primary (HbA1c) and secondary outcomes (e.g., blood pressure, weight, self-management measures) at 12 months; Hypothesis 1b: The relative effects of each intervention will be sustained at 24 months; Hypothesis 1c: Subgroup analyses will identify characteristics associated with high responsiveness to each intervention.
Aim 2: Guide scaling and dissemination of the EXTEND interventions by: (A) interviewing patients and stakeholders to clarify implementation barriers, facilitators and process requirements; (B) comparing intervention costs against potential reimbursement mechanisms; and (C) understanding the role of climate change and other social drivers of health on diabetes self-management and intervention engagement.
Aim 3: Explore the value of combining mobile monitoring and EHR data for predicting patient safety events (hospitalizations, emergency visits) in the EXTEND study cohort over 24 months. Participants will monitor their data using a suite of remote monitoring devices. Data will be analyzed with PACE by our team. If participants are randomized to the telehealth arm, these data will be reviewed by a RN during a telehealth visit to aid in clinical decision making.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| EXTEND | Active Comparator | EXTEND participants receive 4 mobile monitoring devices to facilitate chronic disease self-management (glucometer, BP cuff, scale, accelerometer). Device data are transferred to Duke University Health System (DUHS). Participants can review data and trends within the device apps and modify self-management practices accordingly. The EXTEND group continues chronic disease care with their existing providers during the study, and are instructed at baseline to address management questions via their primary clinics' established avenues (as would be the case for any patient using mobile monitoring in clinical practice). |
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| EXTEND Plus | Experimental | EXTEND Plus participants receive 4 mobile monitoring devices to facilitate chronic disease self-management (glucometer, BP cuff, scale, accelerometer). Device data are transferred to Duke University Health System (DUHS) for use as part of nurse-delivered intervention combining mobile monitoring, self-management support, and medication management. The intervention is administered by clinical registered nurses (RNs) from Duke Primary Care (DPC) or Duke Endocrinology. For the medication management component, RNs work with a study PharmD affiliated with the participant's clinic. The PharmD determines if medication changes are needed, and prescribes accordingly. The RNs deliver EXTEND Plus via scheduled telephone encounters throughout the 12-month intervention. The initial encounter frequency is every two weeks, but may be extended to every four weeks for patients achieving treatment goals. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| EXTEND Plus | Behavioral | The EXTEND Plus approach builds patient self-management capacity by focusing on knowledge, self-efficacy, and goal setting (using an RN-delivered, module-based approach). All material is at an 8th grade reading level. Module topics include, but are not limited to, use of self-monitoring of blood glucose (SMBG), BP monitoring, developing a diet plan, medication adherence, hypoglycemia and hypotension self-management, and self-managing insulin. In addition, this intervention component addresses diet and activity self-management during each encounter. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in HbA1c | Change in blood sugar (glucose) attached to hemoglobin. Validated point-of-care or lab-based test. | Baseline, 3, 6, 9, 12, 18 and 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| Change in blood pressure | Measure taken at clinic with standard arm cuff. Measurement is the average of two readings, on the same arm, taken 10 minutes apart. | Baseline, 3, 6, 9, 12, 18 and 24 months |
| Change in weight |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Ryan J Shaw, RN, PhD | Duke University School of Nursing | Principal Investigator |
| Matthew Crowley, MD | Duke University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Duke University Medical Center | Durham | North Carolina | 27705 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42330500 | Derived | Crowley MJ, Lewinski AA, Yang Q, Hatch D, Palipana A, Bosworth HB, Kaufman BG, Chatterjee R, Pennington G, Matters D, Lee D, Urlichich D, Miller HN, German J, Sang S, Smith B, Kokosa S, Gregory P, Roberson CL, Canupp H, Shaw RJ. Expanding Technology-Enabled, Nurse-Delivered Chronic Disease Care : A Pragmatic, Randomized, Effectiveness-Implementation Trial. Ann Intern Med. 2026 Jun 23. doi: 10.7326/ANNALS-26-00132. Online ahead of print. | |
| 41738686 | Derived |
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Our data will be made available for use by investigators not associated with the proposed study within 3 years after the primary results have been published. We will prepare a clear and searchable documentation of the database including a data dictionary, and its linkage to the pertinent study protocols and forms so that diverse investigators can make effective use of the data. For investigators interested in prospective collaborations, we will explore other options to provide support.
Within 3 years of study data publication.
For all prospective opportunities (e.g., access to datasets, collaborative studies), we will widely advertise them on Duke Websites and at appropriate scientific meetings.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Feb 14, 2023 | Jul 31, 2023 | ICF_000.pdf |
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| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| D006973 | Hypertension |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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Randomization will occur following the baseline appointment. We will not blind participants to arm assignment because they will receive information on both arms during consent. In order to assure blinding of staff conducting outcome data collection, randomization will be managed by staff members not involved with outcome assessment.
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| EXTEND | Behavioral | EXTEND patients self-manage using data they collect during the study, and continue to receive standard behavioral counseling from primary providers. |
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Measurement taken with lab scale, when patient is lightly clothed, shoes off.
| Baseline, 3, 6, 9, 12, 18 and 24 months |
| Change is Diabetes Distress Scale | Measure of diabetes distress and burden using the Diabetes Distress Scale (DDS): 17 items, Scale 1-6. Scoring: Average. Higher score indicates higher distress level. | Baseline, 6, 12, 18 and 24 months |
| Change in Diabetes Self-Management Questionnaire | Measure of diabetes self-care. Diabetes Self-Management Questionnaire (DSMQ): 16 items, Scale 0-3. Scoring: Sum and transform to fall between 0-10. Higher score indicates more effective self-care. | Baseline, 6, 12, 18 and 24 months |
| Change in Perceived Competence Scale | Measure of diabetes self-efficacy and capacity. Perceived Competence Scale (PCS): 4 items, Scale 1-7. Scoring: average (1-7) Higher score indicates greater self-efficacy. | Baseline, 6, 12, 18 and 24 months |
| Change in medication non-adherence | Validated self-report measure using Voils' medication non-adherence measure. | Baseline, 6, 12, 18 and 24 months |
| Change in diabetes knowledge | Diabetes Knowledge Questionnaire (DKQ) is a 24-item validated measure. | Baseline, 6, 12, 18 and 24 months |
| Change in hypertension knowledge | Hypertension Knowledge Measure (HKM) is an 11-item validated measure. | Baseline, 6, 12, 18 and 24 months |
| Teo KM, Shaw RJ, Alexopoulos AS, Pennington G, Hatch D, Yang Q, Crowley MJ. Comparing the Effects of Diabetes-Specific and Overall Medication Regimen Complexity on Diabetes Distress. Sci Diabetes Self Manag Care. 2026 Apr;52(2):162-173. doi: 10.1177/26350106261422676. Epub 2026 Feb 25. |
| 40370006 | Derived | Lee D, Yang Q, Crowley MJ, Hatch D, Pennington G, Matters D, Shaw RJ. Chronic Illness Self-Management Latent Profiles in Individuals With Comorbid Type 2 Diabetes and Hypertension. Sci Diabetes Self Manag Care. 2025 Jun;51(3):250-261. doi: 10.1177/26350106251336311. Epub 2025 May 14. |
| D004700 | Endocrine System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |