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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NOT_YET_RECRUITING
NA
400 participants
INTERVENTIONAL
2023-04-30
2026-01-31
Brief Summary
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Detailed Description
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The purpose of this study is to evaluate if solid organ transplant (SOT) recipients benefit from improved monitoring and removal of communication barriers as the most common reasons for readmission and mortality may be mitigated by clinical intervention. Additionally, medication adherence is critical in transplant patients to prevent graft rejection. We anticipate that remote monitoring will improve medication adherence/adjustments, and will allow for identification of early health issues, reducing preventable hospital readmissions. Thus, this study will determine if an innovative mobile health intervention, designed to improve patient-clinician communication, reduces unnecessary hospital readmission and visits to the emergency department and transplant clinic when utilized in addition to the standard of care telephone communication system. We will also incorporate clinical and continuous ambulatory physiologic data collected as part of the mobile health intervention to develop machine learning algorithms capable of identifying early indicators of adverse outcomes in adult heart, kidney, and liver transplant patients.
We hypothesize that: the delivery of personalized communication using a mobile health application will improve patient self-management resulting in a 50% reduction in preventable hospital readmission, and unscheduled visits to the emergency department and transplant clinic. With tailored communication through the mobile health application, we expect fewer standard of care phone messages for patients in the intervention group and patients with higher activity levels (average daily step-count) pre-transplantation will have lower index hospitalization length of stay. Finally, the large dataset collected from this study will allow novel machine learning-derived risk prediction models to more accurately predict adverse outcomes (e.g., organ rejection, infection, and death), compared to conventional regression models.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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Intervention Group
1 year of tailored communication with transplant care team through Reboot application in addition to standard of care communication system.
Active communication through Reboot application
Access to active communication with the transplant care team through Reboot application based asynchronous messaging for non-urgent issues, as well as personalized clinical notifications.
Standard of Care Group
1 year of generic communication through Reboot application with communication with transplant care team through standard of care communication system.
Generic communication through Reboot application
Access to generic messaging through Reboot application, and communication with the transplant care team through standard of care communication system.
Interventions
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Active communication through Reboot application
Access to active communication with the transplant care team through Reboot application based asynchronous messaging for non-urgent issues, as well as personalized clinical notifications.
Generic communication through Reboot application
Access to generic messaging through Reboot application, and communication with the transplant care team through standard of care communication system.
Eligibility Criteria
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Inclusion Criteria
* The ability to use a smartphone
* English speaking
Exclusion Criteria
* Inability to follow instructions from the Reboot application
* Transfer to a non-University Health Network Hospital for follow-up and management
21 Years
ALL
No
Sponsors
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University Health Network, Toronto
OTHER
Responsible Party
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Heather Ross
Head, Division of Cardiology
Principal Investigators
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Heather Ross, MD
Role: PRINCIPAL_INVESTIGATOR
University Health Network, Toronto
Central Contacts
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References
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Murray KR, Foroutan F, Amadio JM, Posada JD, Kozuszko S, Duhamel J, Tsang K, Farkouh ME, McDonald M, Billia F, Barber E, Hershman SG, Bhat M, Tinckam KJ, Ross HJ, McIntosh C, Moayedi Y. Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2021 Oct 22;10(10):e26816. doi: 10.2196/26816.
Other Identifiers
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20-6082
Identifier Type: -
Identifier Source: org_study_id
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