The vast majority of individuals with Covid19 have mild illness that can be managed in the outpatient setting. A small but significant number of these people will deteriorate and require hospitalization. Symptoms are a poor - and possibly late - indicator for deterioration. While people who have died, and/or been cared for in the ICU or hospital have been well characterized, there remains a dearth of information about the clinical course of people in the outpatient setting. Most notably, it is not known when to escalate to hospital care. The consequence of non-escalation when needed is significant patient morbidity and mortality, of escalation when not needed is unnecessarily overwhelmed hospitals. Technologies for clinical management and early diagnostics for severe Covid19 infection will address this challenge. The research goal of this study is to use real-time remote patient monitoring to detect which patients with Covid19 are at risk of deterioration to bring to hospital, while at the same ensuring the worried will receive reassurance so they stay at home. The clinical goal is to help clinicians provide excellent care using ubiquitous mobile phones.
People with COVID infection recovering at home or in long-term care are at high risk of
hospitalization and death, a reservoir of the disease, and the source of any second wave.
Three important gaps still besiege their well-being and, consequently, the well-being of all
of us. First, we cannot yet accurately predict the approximately 10% who deteriorate and need
hospitalization. Deterioration happens quick and without warning. Delayed detection of
deterioration worsens patient outcomes. Second, COVID patients feel terrified and alone. This
leads them to come to EDs when not indicated, to have poor mental health and to risk
violating physical distancing rules. Third, the health of people with COVID cannot be
improved without having a means of studying and understanding what they are going through.
None of these gaps are being filled by public health.
It is imperative that Ontario have an effective and safe outpatient care and research
strategy for people with COVID isolated at home and in long term care to survive this COVID
pandemic.
The investigators are building a mobile smartwatch/smartphone application to create a
scalable safe virtual system that meets the care needs of COVID patients at home and in long
term care (including reassurance when they are doing well), that uses continuous symptom,
heart rate, respiratory rate, cough and other monitoring to predict who needs to go to
hospital in real time and that provides a research platform to learn how to further improve
and preserve their health.
Device: Covidfree@home
Mobile phone, Covidfree@home app, thermometer, pulse oximeter, smart watch
Inclusion Criteria
- Patients who tested positive for Covid19
- Patients experiencing symptoms of Covid19 and have been deemed to likely have Covid19
Exclusion Criteria
- Does not speak English
- Unable to use a mobile smartphone and smart watch
- Unable to complete questionnaires on own
- Significant comorbid condition that would confound symptoms and sensor readings
- Deemed palliative with goals of care being comfort measures only
Sunnybrook Health Sciences Centre
Toronto, Ontario, Canada
University Health Network
Toronto, Ontario, Canada
Robert Wu, Principal Investigator
University Health Network, Toronto