Expanding Technology-Enabled Nurse Delivered Chronic Disease Care

NCT05120544 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 220

Last updated 2025-11-13

No results posted yet for this study

Summary

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.

Conditions

Interventions

BEHAVIORAL

EXTEND Plus

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.

BEHAVIORAL

EXTEND

EXTEND patients self-manage using data they collect during the study, and continue to receive standard behavioral counseling from primary providers.

Sponsors & Collaborators

  • National Institute of Nursing Research (NINR)

    collaborator NIH
  • Duke University

    lead OTHER

Principal Investigators

  • Ryan J Shaw, RN, PhD · Duke University School of Nursing

  • Matthew Crowley, MD · Duke University

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
30 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-04-21
Primary Completion
2025-08-13
Completion
2025-08-13

Countries

  • United States

Study Locations

More Related Trials

Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05120544 on ClinicalTrials.gov