Feasibility and Effectiveness of a Remote Monitoring Program for the Treatment of Diabetic Foot Ulcers
NCT ID: NCT05579743
Last Updated: 2025-01-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
120 participants
INTERVENTIONAL
2023-01-06
2026-03-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
NONE
Study Groups
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Standard care
Patients randomized to receive standard of care will be provided with a wound care plan at the time of enrollment, and then follow-up in clinic on a biweekly basis (week 2, 4, 6, 8, 10, 12) for a wound check and care plan update as needed.
No interventions assigned to this group
Remote wound monitoring technology
Enrolled patients (and their caregivers, if applicable) are given an in-person training on how to use the smartphone app to self-assess their wound during regular dressing changes. Wound assessments are electronically transmitted to a secure, dedicated portal up to once a week for remote review by the study doctors. In-person follow-up is monthly (at the time of enrollment, week 4, week 8, and week 12).
Remote wound monitoring technology
Healthy.io developed a professional-user wound management system that captures wound measurements and analyzes tissue distribution in real time through a smartphone application. Clinical oversight of the healing status of the wound via remote imaging and expert review allows for real time intervention when stagnation or worsening of a wound is detected. Patients with wounds on their legs will receive access to Healthy.io's mobile app and will be able to perform self-scans of their wound which will be automatically sent to the medical professionals, thus allowing them to assess the wound remotely.
Interventions
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Remote wound monitoring technology
Healthy.io developed a professional-user wound management system that captures wound measurements and analyzes tissue distribution in real time through a smartphone application. Clinical oversight of the healing status of the wound via remote imaging and expert review allows for real time intervention when stagnation or worsening of a wound is detected. Patients with wounds on their legs will receive access to Healthy.io's mobile app and will be able to perform self-scans of their wound which will be automatically sent to the medical professionals, thus allowing them to assess the wound remotely.
Eligibility Criteria
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Inclusion Criteria
* In treatment for lower extremity wound related to diabetic foot ulcer
* Able and willing to use a smartphone to assess the wound for the duration of the study
* English language proficiency
Exclusion Criteria
* Patients with wound size that cannot be covered with a single app scan (out of boundary conditions include wounds that wrap around patient's entire leg)
* Patients with wounds in an inaccessible location who live without a caregiver to assist in taking wound scans
18 Years
ALL
No
Sponsors
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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
Johns Hopkins University
OTHER
Responsible Party
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Principal Investigators
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Caitlin Hicks, MD
Role: PRINCIPAL_INVESTIGATOR
Johns Hopkins School of Medicine
Locations
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Johns Hopkins University School of Medicine
Baltimore, Maryland, United States
Countries
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Central Contacts
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Facility Contacts
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Caitlin Hicks, MD
Role: primary
References
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Wu YHA, Keegan AC, White MPS, Bose S, Leung SG, Sherman R, Abularrage CJ, Selvin E, Hicks CW. AI-Powered Remote Monitoring for Lower Extremity Wound Management: A Randomized Controlled Trial Protocol. JVS Vasc Insights. 2025 Aug 8:100279. doi: 10.1016/j.jvsvi.2025.100279. Online ahead of print.
Other Identifiers
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IRB00292929
Identifier Type: -
Identifier Source: org_study_id
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