The ROAMM-EHR Study

NCT ID: NCT06263322

Last Updated: 2025-06-27

Study Results

Results pending

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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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

50 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-11-16

Study Completion Date

2026-10-17

Brief Summary

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In recent years, mobile health (mHealth) apps have promised improved monitoring of health conditions to improve clinical outcomes. The objective of this study is to conduct a pilot randomized clinical trial (RCT) to evaluate the impact of using remotely collected patient generated health data (PGHD) from older patients undergoing bypass surgery due to chronic limb threatening ischemia. The hypothesis is that integrating PGHD with an EHR system will help providers manage post-surgical symptoms and thus improve post-operative mobility and quality of life health outcomes.

Detailed Description

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This pilot study aims to evaluate the feasibility of collecting patient generated health data (PGHD) remotely for aiding care management of patients with chronic limb threatening ischemia following vascular bypass or revascularization. DRemote data collected from a publicly available smartwatch will be displayed on an EHR interface for providers to view PGHD. The test of feasibility entails multiple components that include implementing a provider interface for viewing and acting on PGHD, establishing safety, ensuring quality assurance (e.g. quality of remote data collection), successful recruitment and retention of participants, and sufficient remote response rates from patients.

Conditions

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Peripheral Arterial Disease Chronic Limb-Threatening Ischemia

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Parallel Randomized Clinical trial. Comparison study to test the feasibility of patient generated health data compared to standard of care post-surgical observation.
Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

QUADRUPLE

Participants Caregivers Investigators Outcome Assessors
Participants are masked to whether their PGHD are being sent to their care provider. Care providers are masked to who receives standard of care. Investigators (except for one who will be the point person for randomization) will be masked to intervention assignments. Staff assessors will be masked to whether PGHD are being sent to their care provider.

Study Groups

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ROAMM-EHR

Patients will wear a smartwatch equipped with a smartwatch app before their surgery and for approximately a month after the surgery. Patients will be asked to wear the watch every day when awake. When wearing the smartwatch, patients will be asked questions about their symptoms following surgery and data will be sent to providers electronically and displayed in their EHR portal. Healthcare Providers will use this information along with patient medical history to decide on the next course of action. The study does not provide specific instructions about how to care for the patient. Those decisions are made by the provider team and their clinical judgement.

Group Type EXPERIMENTAL

Actionable remotely generated health data

Intervention Type BEHAVIORAL

Remotely captured, patient generated health data will be used to inform provider care following re-vascular surgery in patients with chronic limb threatening ischemia

Active Comparison

The active comparison patients will wear and respond to questions on the smartwatch. However, the information will not be viewable by their doctor and medical team. All standard of care procedures will remain.

Group Type ACTIVE_COMPARATOR

Non-Actionable remotely generated health data

Intervention Type BEHAVIORAL

Remotely captured, patient generated health data is captured, but will not be used to inform provider care following re-vascular surgery in patients with chronic limb threatening ischemia

Interventions

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Actionable remotely generated health data

Remotely captured, patient generated health data will be used to inform provider care following re-vascular surgery in patients with chronic limb threatening ischemia

Intervention Type BEHAVIORAL

Non-Actionable remotely generated health data

Remotely captured, patient generated health data is captured, but will not be used to inform provider care following re-vascular surgery in patients with chronic limb threatening ischemia

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* age \>= 60; Patients with chronic limb threatening ischemia who are undergoing re-vascular surgery \[endovascular or open re-vascularization (bypass)\].

Exclusion Criteria

* High risk of post-surgical amputation based on study physician judgement, non-english speaker, diagnosis of an age-related dementia (e.g. Alzheimer's Disease); unable to communicate because of severe hearing loss; uncorrectable vision impairment that compromises clinical assessments or would cause a safety concern, other significant co-morbid disease that in the opinion of the investigators and study physician would impair the ability to participate in the study or be a safety concern
Minimum Eligible Age

60 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Institute on Aging (NIA)

NIH

Sponsor Role collaborator

University of Florida

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Todd Manini, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Florida

Locations

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Institute of Aging

Gainesville, Florida, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Institute_on_Aging

Role: CONTACT

352-273-5919

HOBI department

Role: CONTACT

(352) 627-9467

Facility Contacts

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Institute_of_Aging

Role: primary

352-273-5919

HOBI_Department

Role: backup

352.627.9467

Other Identifiers

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R21AG073769

Identifier Type: NIH

Identifier Source: secondary_id

View Link

IRB202200419

Identifier Type: -

Identifier Source: org_study_id

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