Virtual care to improve recovery from heart failure hospitalization
Official title: VIrtual Care To Improve Outcomes and RecoverY From Heart Failure Hospitalization (VICTORY-HF) RCT
Run by Population Health Research Institute · NCT05724433 · Data updated 2026-11-12
This study tests whether virtual follow-up visits can help people recovering from heart failure hospitalization feel better compared to regular in-person care.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 891 (estimated) |
| Sponsor | Population Health Research Institute Academic / other |
| Locations | 9 sites (Hamilton, Onatrio and 8 other locations) |
| Status | Recruiting |
| Started | January 23, 2023 |
| Main results expected | September 30, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | August 7, 2026 |
| Trial ID | NCT05724433 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18 and older who have been hospitalized for heart failure and have specific clinical indicators such as reduced left ventricular ejection fraction.
✕Probably not a fit
Patients who are unable to engage with digital health technology or have severe cognitive impairments may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical trial aims to develop and implement a virtual model of care for patients recovering from heart failure (HF) hospitalization. The intervention involves virtual follow-up visits over a 90-day period, focusing on optimizing medication and health status outcomes. The study compares this virtual care approach to routine care to assess improvements in clinical outcomes and implementation. A pilot phase has already been conducted to refine the delivery process and gather preliminary data on health status changes.
Why it matters
Potential benefit: If successful, this approach could enhance access to specialized heart failure care and improve recovery outcomes for patients.
How similar studies have gone: Other studies have shown promise in using virtual care models for chronic conditions, suggesting potential success for this approach in heart failure management.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Adult patients ≥ 18 years old who: 1. Are being discharged after hospitalization or urgent visit for HF as 1. a primary diagnosis or 2. significant complication (prolonging length of stay) of another diagnosis OR Have been referred for an initial consult at a cardiology clinic within 1 week of hospitalization or urgent visit for HF as a primary or secondary diagnosis, as described above. 2. Have left ventricular ejection fraction (LVEF) \< 50% within the preceding 3 months. 3. Have NT-proBNP of \> 900 pg/ml during hospital admission or within 7 days after discharge from the ED 4. Have a mailing address for patient or caregiver 5. Provide verbal consent Exclusion Criteria: 1. Died or left hospital before medically advised hospital discharge 2. Unable to self-assess or communicate symptoms (e.g. clinically evident dementia) 3. Unable to engage with digital health technology or follow up 4. Severe valve disease 5. Recipient of or on waiting list for LVAD or cardiac transplant 6. Complex congenital heart disease, hypertrophic obstructive cardiomyopathy, or amyloid cardiomyopathy 7. Severe lung disease with symptoms on minimal exertion, forced expiratory volume during 1 second (FEV1) \< 1 litre, severe pulmonary hypertension with RVSP \> 60 mm Hg, or on home oxygen 8. Severe kidney disease (persistent eGFR \< 30 mL/min/1.73m2) 9. Active malignancy 10. Receiving palliative care or expected life expectancy \< 6 months
Where it's running
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St. Joseph's Healthcare Hamilton
Hamilton, Onatrio, Canada Recruiting -
Hamilton General Hospital
Hamilton, Ontario, Canada Recruiting -
Juravinski Hospital Cancer Centre
Hamilton, Ontario, Canada Recruiting -
Unity Health Toronto
Toronto, Ontario, Canada Recruiting -
Fattouma Bourguiba Hospital
Monastir, Tunisia Recruiting -
Hedi Chaker Hospital
Sfax, Tunisia Recruiting
Show 3 more locations
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Sahloul Hospital
Sousse, Tunisia Recruiting -
Military Hospital
Tunis, Tunisia Recruiting -
Thunder Bay Regional Health Sciences Centre
Thunder Bay, Ontario, Canada Not yet recruiting
Study contacts
- Principal investigator: Harriette Van Spall, MD — McMaster University
- Study coordinator: Harriette GC Van Spall, MD MPH
- Email: Harriette.VanSpall@phri.ca
- Phone: (905) 521-2100
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Using Apple Watch data to predict heart failure outcomes
This study is testing if data from Apple Watches can help predict heart failure problems and the chances of needing to go back to the hospital for patients with heart failure.
-
Comparing Aortix Device to Diuretics for Acute Heart Failure
This study is testing whether the Aortix device can help people with acute heart failure who aren't responding to diuretics feel better compared to standard treatment.
-
Myocardial Energetics Across Cardiovascular Disease Spectrum Using 31P-MRS
Researchers are testing whether phosphorus-31 magnetic resonance spectroscopy (31P-MRS) can map heart energy metabolism across healthy people and patients with various heart conditions.
-
Tailored digital support to cut sedentary time in long-term cardiac rehab
In adults in a long-term cardiac rehabilitation program, this study tests whether a personalized behavioural program with digital tools can reduce daily sitting time.
-
NT-proBNP–guided heart failure screening for people 65+ in rural China
This study tests whether using NT-proBNP blood tests to guide heart failure screening in adults 65 and older in rural China can find unrecognized heart problems more effectively than symptom-based screening.
-
Voice-based detection of heart failure deterioration using Noah Labs Vox
This study tests whether a voice-analysis app can flag worsening heart failure in adults by comparing its alerts to standard weight-based monitoring.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.