Evaluation of Nurse-led Integrated Care of Complex Patients Facilitated By Telemonitoring: The SMaRT Study
Heart Failure,Congestive, Mental Health (Depression), Diabetes Mellitus
About this trial
This is an interventional health services research trial for Heart Failure,Congestive focused on measuring Telemonitoring, Smartphone application, Chronic disease management, Remote monitoring, Multiple chronic conditions, mHealth, Nurse-led, Holistic care
Eligibility Criteria
Inclusion Criteria:
- 18 years of age or older
- Discharged from hospital or seen within 48 hours of discharge at Health Sciences North (HSN), William Osler Health Systems (WOHS), Women's College Hospital (WCH), and Markham Stouffville Hospital (MSH).
- Have at least one complex chronic condition (i.e., heart failure, complex obstructive pulmonary disease (COPD), hypertension, diabetes, and/or depression) that would benefit if monitored through telemonitoring.
- Able to comply with use of the telemonitoring application and applicable peripheral devices (e.g., able to stand on the weight scale, able to answer symptom questions, etc.)
- Able to read, write and speak English or have a caregiver who is able to do so on their behalf.
- Patients must have been discharged from hospital within 2 weeks during their recruitment into the study (or will be recruited prior to their discharge).
Exclusion Criteria:
1. Patients who are discharged from hospital with the intent to be admitted to a long-term care facility will be excluded.
Sites / Locations
- William Osler Health SystemRecruiting
- Oak Valley Health HospitalRecruiting
- Health Sciences North
- Women's College Hospital
Arms of the Study
Arm 1
Arm 2
No Intervention
Experimental
Control
Telemonitoring (Medly MCC)
Control groups will be compared to 350 patients who received standard of care via propensity-matched controls from the ICES provincial database.
Medly is a smartphone application allows patients with heart failure, diabetes, depression, hypertension, and/or COPD to measure and record their daily self-reported symptoms. This monitoring information is then transmitted wirelessly to a data server where an algorithm is used to generate an alert to a healthcare provider as necessary. The patient also receives an automated self-care message based on their measurements and reported symptoms.