Modelling the backlog of COVID-19 cases for a surgical group.
Can J Surg
; 63(5): E391-E392, 2020 08 28.
Article
in English
| MEDLINE | ID: covidwho-732983
ABSTRACT
Summary:
The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on health care delivery and has resulted in a backlog of patients needing surgery. There is a lack of experience and guidance in dealing with this increased demand on an already overburdened health care system. We created an online tool (www.covidbacklog.com) that helps surgeons explore how resource allocation within their group will affect wait times for patients. After inputting a handful of readily available variables, the computer program generates a forecast of how long it will take to see the backlog of patients. This information could be used to allow surgical groups to run simulations to explore different resource allocation strategies in order to help prevent downstream consequences of delayed patient care.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
General Surgery
/
Coronavirus Infections
/
Disease Transmission, Infectious
/
Delivery of Health Care
/
Surgeons
/
Betacoronavirus
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Can J Surg
Year:
2020
Document Type:
Article
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