跳至主要内容
临床试验/NCT04453774
NCT04453774已完成不适用

Covidfree@Home: At Home Monitoring Using Mobile Devices for Patients With Covid19

University Health Network, Toronto4 个研究点 分布在 1 个国家目标入组 432 人开始时间: 2020年11月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
432
试验地点
4
主要终点
Number of participants with planned hospital admissions that are found to be necessary

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Health Services Research
盲法
None

入排标准

性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Number of participants with planned hospital admissions that are found to be necessary

时间窗: 30 days

Number of participants with planned hospital admissions that are found to be necessary

Number of participants with an unplanned hospital admissions

时间窗: 30 days

Number of participants with an unplanned emergency department visits leading to hospital admission

次要结局

  • Number of planned hospital admissions which are found to be unnecessary(30 days)
  • Number of participants with an emergency department visits not resulting in hospital admission(30 days)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Robert Wu

General Internal Medicine Site Director

University Health Network, Toronto

研究点 (4)

Loading locations...

相似试验

At Home Monitoring for Patients With Covid19 | 临床试验