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10.2196/25518

http://scihub22266oqcxt.onion/10.2196/25518
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33529157!7879714!33529157
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suck abstract from ncbi


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pmid33529157      J+Med+Internet+Res 2021 ; 23 (2): e25518
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  • A Virtual Ward Model of Care for Patients With COVID-19: Retrospective Single-Center Clinical Study #MMPMID33529157
  • Ferry OR; Moloney EC; Spratt OT; Whiting GFM; Bennett CJ
  • J Med Internet Res 2021[Feb]; 23 (2): e25518 PMID33529157show ga
  • 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
  • |*Patient Isolation[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Ambulatory Care/*methods[MESH]
  • |Australia[MESH]
  • |COVID-19/physiopathology/*therapy[MESH]
  • |Cohort Studies[MESH]
  • |Disease Management[MESH]
  • |Emergency Service, Hospital/statistics & numerical data[MESH]
  • |Female[MESH]
  • |Hospitalization/*statistics & numerical data[MESH]
  • |Hospitals[MESH]
  • |Humans[MESH]
  • |Length of Stay/statistics & numerical data[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Nursing Assessment[MESH]
  • |Patient Discharge[MESH]
  • |Respiration, Artificial/statistics & numerical data[MESH]
  • |Retrospective Studies[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]
  • |Telemedicine/*methods[MESH]
  • |Telephone[MESH]


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