Virtual Health Care for Community Management of Patients With COVID-19 in Australia: Observational Cohort Study.
Adolescent
Adult
Aged
Australia
/ epidemiology
COVID-19
/ epidemiology
Child
Cohort Studies
Community Health Services
Emergency Service, Hospital
/ statistics & numerical data
Female
Hospitalization
/ statistics & numerical data
Humans
Male
Medical Informatics
Middle Aged
Monitoring, Physiologic
Pandemics
Patient Discharge
/ statistics & numerical data
SARS-CoV-2
Telemedicine
Young Adult
COVID-19
digital health
health
informatics
remote monitoring
telehealth
virtual health care
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
09 03 2021
09 03 2021
Historique:
received:
05
06
2020
accepted:
01
03
2021
revised:
17
11
2020
entrez:
9
3
2021
pubmed:
10
3
2021
medline:
13
3
2021
Statut:
epublish
Résumé
Australia has successfully controlled the COVID-19 pandemic. Similar to other high-income countries, Australia has extensively used telehealth services. Virtual health care, including telemedicine in combination with remote patient monitoring, has been implemented in certain settings as part of new models of care that are aimed at managing patients with COVID-19 outside the hospital setting. This study aimed to describe the implementation of and early experience with virtual health care for community management of patients with COVID-19. This observational cohort study was conducted with patients with COVID-19 who availed of a large Australian metropolitan health service with an established virtual health care program capable of monitoring patients remotely. We included patients with COVID-19 who received the health service, could self-isolate safely, did not require immediate admission to an in-patient setting, had no major active comorbid illness, and could be managed at home or at other suitable sites. Skin temperature, pulse rate, and blood oxygen saturation were remotely monitored. The primary outcome measures were care escalation rates, including emergency department presentation, and hospital admission. During March 11-29, 2020, a total of 162 of 173 (93.6%) patients with COVID-19 (median age 38 years, range 11-79 years), who were diagnosed locally, were enrolled in the virtual health care program. For 62 of 162 (38.3%) patients discharged during this period, the median length of stay was 8 (range 1-17) days. The peak of 100 prevalent patients equated to approximately 25 patients per registered nurse per shift. Patients were contacted a median of 16 (range 1-30) times during this period. Video consultations (n=1902, 66.3%) comprised most of the patient contacts, and 132 (81.5%) patients were monitored remotely. Care escalation rates were low, with an ambulance attendance rate of 3% (n=5), emergency department attendance rate of 2.5% (n=4), and hospital admission rate of 1.9% (n=3). No deaths were recorded. Community-based virtual health care is safe for managing most patients with COVID-19 and can be rapidly implemented in an urban Australian setting for pandemic management. Health services implementing virtual health care should anticipate challenges associated with rapid technology deployments and provide adequate support to resolve them, including strategies to support the use of health information technologies among consumers.
Sections du résumé
BACKGROUND
Australia has successfully controlled the COVID-19 pandemic. Similar to other high-income countries, Australia has extensively used telehealth services. Virtual health care, including telemedicine in combination with remote patient monitoring, has been implemented in certain settings as part of new models of care that are aimed at managing patients with COVID-19 outside the hospital setting.
OBJECTIVE
This study aimed to describe the implementation of and early experience with virtual health care for community management of patients with COVID-19.
METHODS
This observational cohort study was conducted with patients with COVID-19 who availed of a large Australian metropolitan health service with an established virtual health care program capable of monitoring patients remotely. We included patients with COVID-19 who received the health service, could self-isolate safely, did not require immediate admission to an in-patient setting, had no major active comorbid illness, and could be managed at home or at other suitable sites. Skin temperature, pulse rate, and blood oxygen saturation were remotely monitored. The primary outcome measures were care escalation rates, including emergency department presentation, and hospital admission.
RESULTS
During March 11-29, 2020, a total of 162 of 173 (93.6%) patients with COVID-19 (median age 38 years, range 11-79 years), who were diagnosed locally, were enrolled in the virtual health care program. For 62 of 162 (38.3%) patients discharged during this period, the median length of stay was 8 (range 1-17) days. The peak of 100 prevalent patients equated to approximately 25 patients per registered nurse per shift. Patients were contacted a median of 16 (range 1-30) times during this period. Video consultations (n=1902, 66.3%) comprised most of the patient contacts, and 132 (81.5%) patients were monitored remotely. Care escalation rates were low, with an ambulance attendance rate of 3% (n=5), emergency department attendance rate of 2.5% (n=4), and hospital admission rate of 1.9% (n=3). No deaths were recorded.
CONCLUSIONS
Community-based virtual health care is safe for managing most patients with COVID-19 and can be rapidly implemented in an urban Australian setting for pandemic management. Health services implementing virtual health care should anticipate challenges associated with rapid technology deployments and provide adequate support to resolve them, including strategies to support the use of health information technologies among consumers.
Identifiants
pubmed: 33687341
pii: v23i3e21064
doi: 10.2196/21064
pmc: PMC7945978
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e21064Informations de copyright
©Owen Rhys Hutchings, Cassandra Dearing, Dianna Jagers, Miranda Jane Shaw, Freya Raffan, Aaron Jones, Richard Taggart, Tim Sinclair, Teresa Anderson, Angus Graham Ritchie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.03.2021.
Références
BMJ. 2020 Jun 4;369:m2119
pubmed: 32499317
Nurs Stand. 2017 Nov 29;32(14):51-63
pubmed: 29185642
J Am Med Inform Assoc. 2020 Dec 9;27(12):1871-1877
pubmed: 32602884
Clin Infect Dis. 2020 Jul 28;71(15):833-840
pubmed: 32296824
BMJ. 2000 Jun 24;320(7251):1713-6
pubmed: 10864552
CMAJ Open. 2020 May 23;8(2):E407-E413
pubmed: 32447283
Am J Prev Med. 2011 May;40(5 Suppl 2):S187-97
pubmed: 21521594
Prog Cardiovasc Dis. 2016 May-Jun;58(6):579-83
pubmed: 26772623
J Telemed Telecare. 2020 Sep 26;:1357633X20960638
pubmed: 32985380
J Am Med Inform Assoc. 2020 Jun 1;27(6):853-859
pubmed: 32208481
JAMA. 2020 Mar 17;323(11):1061-1069
pubmed: 32031570
Acad Emerg Med. 2020 Aug;27(8):681-692
pubmed: 32779828
Med J Aust. 2020 Jun;212(10):468-469
pubmed: 32383153
Hum Factors. 2018 May;60(3):281-292
pubmed: 29533682
Pediatr Blood Cancer. 2019 Jun;66(6):e27723
pubmed: 30884117
Nat Commun. 2020 Nov 11;11(1):5710
pubmed: 33177507
J Med Internet Res. 2021 Feb 10;23(2):e25518
pubmed: 33529157
N Engl J Med. 2020 Apr 30;382(18):1679-1681
pubmed: 32160451
Med J Aust. 2020 Jun;212(10):463-467
pubmed: 32306408
Int J Qual Health Care. 2017 Feb 1;29(1):130-136
pubmed: 27920243
BMC Public Health. 2021 Jan 27;21(1):225
pubmed: 33504347
J Telemed Telecare. 2020 Jun;26(5):309-313
pubmed: 32196391
BMJ. 2020 Mar 12;368:m998
pubmed: 32165352
Lancet. 2020 Mar 14;395(10227):912-920
pubmed: 32112714
J Med Syst. 2017 Oct 26;41(12):191
pubmed: 29075920
J Am Med Inform Assoc. 2020 Aug 1;27(8):1326-1330
pubmed: 32392280
J Am Med Inform Assoc. 2020 Nov 1;27(11):1825-1827
pubmed: 32667985