A Virtual Ward Model of Care for Patients With COVID-19: Retrospective Single-Center Clinical Study

Author:

Ferry Olivia RORCID,Moloney Emma CORCID,Spratt Owen TORCID,Whiting Gerald F MORCID,Bennett Cameron JORCID

Abstract

Background COVID-19 has necessitated the implementation of innovative health care models in preparation for an influx of patients. A virtual ward model delivers clinical care remotely to patients in isolation. We report on an Australian cohort of patients with COVID-19 treated in a virtual ward. Objective The aim of this study was to describe and evaluate the safety and efficacy of a virtual ward model of care for an Australian cohort of patients with COVID-19. Methods Retrospective clinical assessment was performed for 223 patients with confirmed COVID-19 treated in a virtual ward in Brisbane, Australia, from March 25 to May 15, 2020. Statistical analysis was performed for variables associated with the length of stay and hospitalization. Results Of 223 patients, 205 (92%) recovered without the need for escalation to hospital care. The median length of stay in the virtual ward was 8 days (range 1-44 days). In total, 18 (8%) patients were referred to hospital, of which 6 (33.3%) were discharged after assessment at the emergency department. Furthermore, 12 (5.4%) patients were admitted to hospital, of which 4 (33.3%) required supplemental oxygen and 2 (16.7%) required mechanical ventilation. No deaths were recorded. Factors associated with escalation to hospital care were the following: hypertension (odds ratio [OR] 3.6, 95% CI 1.28-9.87; P=.01), sputum production (OR 5.2, 95% CI 1.74-15.49; P=.001), and arthralgia (OR 3.8, 95% CI 1.21-11.71; P=.02) at illness onset and a polymerase chain reaction cycle threshold of ≤20 on a diagnostic nasopharyngeal swab (OR 5.0, 95% CI 1.25-19.63; P=.02). Conclusions Our results suggest that a virtual ward model of care to treat patients with COVID-19 is safe and efficacious, and only a small number of patients would potentially require escalation to hospital care. Further studies are required to validate this model of care.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference30 articles.

1. Rolling updates on coronavirus disease (COVID-19)World Health Organization202007312020-06-04https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen

2. Virtual health care in the era of COVID-19

3. Telemedicine, Telehealth, and Mobile Health Applications That Work: Opportunities and Barriers

4. Interactive telemedicine: effects on professional practice and health care outcomes

5. Interpreting COVID-19 and Virtual Care Trends: Cohort Study

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