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NCT number NCT03358303
Study type Interventional
Source University Health Network, Toronto
Contact Emily Seto, PhD
Phone 416-669-9295
Email emily.seto@utoronto.ca
Status Not yet recruiting
Phase N/A
Start date February 2018
Completion date February 2019

Clinical Trial Summary

Heart failure is the most rapidly rising cardiovascular disease and has come to be recognized as a growing epidemic. Digital health interventions are the most recent iteration of an effort to promote individualized outpatient care through positive behaviour change theory. The UHN team has developed a highly automated and user-centered smartphone-based system, Medly, which allows for the telemonitoring of patients diagnosed with heart failure. The purpose of this study will be two-fold: 1) to determine if the introduction of Medly within two weeks of discharge will improve self-care management, quality of life, and clinical status, 2) to assess whether Medly will lead to a potential reduction in 30 day readmission rates amongst HF patients in the Toronto Central Local Health Integration Network (TC LHIN), without increasing the average length of stay or visits to the emergency department. These parameters will be measured as secondary outcomes.


Clinical Trial Description

Heart failure is the most rapidly rising cardiovascular disease and has come to be recognized as a growing epidemic. Digital health interventions are the most recent iteration of an effort to promote individualized outpatient care through positive behaviour change theory. The UHN team has developed a highly automated and user-centered smartphone-based system, Medly, which allows for the telemonitoring of patients diagnosed with heart failure

Patients with heart failure will be provided with a smartphone and commercial home medical devices, such as a blood pressure monitor and weight scale. The measurements from the medical devices will be automatically sent to the smartphone, and from there to a data server at the hospital for analysis and storage. Both clinicians and patients will be able to access these data and will be sent alerts by the system if the measurements are outside of the normal range. The system will be evaluated through interviews and comparing outcomes between the intervention and control groups.


Study Design


Related Conditions & MeSH terms


See also
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