A descriptive analysis of an on-demand telehealth approach for remote COVID-19 patient screening.


Journal

Journal of telemedicine and telecare
ISSN: 1758-1109
Titre abrégé: J Telemed Telecare
Pays: England
ID NLM: 9506702

Informations de publication

Date de publication:
Aug 2022
Historique:
pubmed: 24 7 2020
medline: 12 7 2022
entrez: 24 7 2020
Statut: ppublish

Résumé

COVID-19 requires methods for screening patients that adhere to physical distancing and other Centers for Disease Control and Prevention guidelines. There is little data on the use of on-demand telehealth to meet this need. The functional performance of on-demand telehealth as a COVID-19 remote patient screening approach was conducted by analysing 9270 patient requests. Most on-demand telehealth requests (5712 of 9270 total requests; 61.6%) had a visit reason that was likely COVID-19 related. Of these, 79.1% (4518 of 5712) resulted in a completed encounter and 20.9% (1194 of 5712) resulted in left without being seen. Of the 4518 completed encounters, 19.1% were referred to an urgent care centre, emergency department or COVID-19 testing centre. The average completed encounter wait time was 26.5 min and the mean visit length was 8.8 min. For patients that completed an encounter 42.8% (1935 of 4518) stated they would have sought in-person care and 9.1% stated they would have done nothing if on-demand telehealth was unavailable. On-demand telehealth can serve as a low-barrier approach to screen patients for COVID-19. This approach can prevent patients from visiting healthcare facilities, which reduces physical contact and reduces healthcare worker use of personal protective equipment.

Identifiants

pubmed: 32698650
doi: 10.1177/1357633X20943339
pmc: PMC9272041
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

494-497

Références

JAMA. 2020 May 26;323(20):2009-2010
pubmed: 32191260
Telemed J E Health. 2008 Nov;14(9):964-7
pubmed: 19035808
N Engl J Med. 2020 Apr 30;382(18):1679-1681
pubmed: 32160451
JAMA. 2013 Jul 3;310(1):35-6
pubmed: 23821082
Ann Emerg Med. 2011 Jul;58(1):24-32.e3
pubmed: 21334761

Auteurs

Raj M Ratwani (RM)

MedStar Health National Center for Human Factors in Healthcare, Washington, D.C., USA.
Georgetown University School of Medicine, Washington, D.C., USA.

David Brennan (D)

MedStar Telehealth Innovation Center, Washington, D.C., USA.

William Sheahan (W)

MedStar Telehealth Innovation Center, Washington, D.C., USA.

Allan Fong (A)

MedStar Health National Center for Human Factors in Healthcare, Washington, D.C., USA.

Katharine Adams (K)

MedStar Health National Center for Human Factors in Healthcare, Washington, D.C., USA.

Allyson Gordon (A)

MedStar Telehealth Innovation Center, Washington, D.C., USA.

Mary Calabrese (M)

MedStar Institute for Innovation, Washington, D.C., USA.

Elizabeth Hwang (E)

MedStar Telehealth Innovation Center, Washington, D.C., USA.

Mark Smith (M)

Georgetown University School of Medicine, Washington, D.C., USA.
MedStar Institute for Innovation, Washington, D.C., USA.

Ethan Booker (E)

Georgetown University School of Medicine, Washington, D.C., USA.
MedStar Telehealth Innovation Center, Washington, D.C., USA.

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Classifications MeSH