About: Elective surgery cancellations due to the COVID‐19 pandemic: global predictive modelling to inform surgical recovery plans

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Elective surgery cancellations due to the COVID‐19 pandemic: global predictive modelling to inform surgical recovery plans Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Elective surgery cancellations due to the COVID‐19 pandemic: global predictive modelling to inform surgical recovery plans
Source	Medline; PMC
abstract	BACKGROUND: The COVID‐19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID‐19. METHODS: A global expert‐response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian beta‐regression model was used to estimate 12‐week cancellation rates for 190 countries. Elective surgical case‐mix data, stratified by specialty and indication (cancer versus benign surgery), was determined. This case‐mix was applied to country‐level surgical volumes. The 12‐week cancellation rates were then applied to these figures to calculate total cancelled operations. RESULTS: The best estimate was that 28,404,603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID‐19 (2,367,050 operations per week). Most would be operations for benign disease (90.2%, 25,638,922/28,404,603). The overall 12‐week cancellation rate would be 72.3%. Globally, 81.7% (25,638,921/31,378,062) of benign surgery, 37.7% (2,324,069/6,162,311) of cancer surgery, and 25.4% (441,611/1,735,483) of elective Caesarean sections would be cancelled or postponed. If countries increase their normal surgical volume by 20% post‐pandemic, it would take a median 45 weeks to clear the backlog of operations resulting from COVID‐19 disruption. CONCLUSIONS: A very large number of operations will be cancelled or postponed due to disruption caused by COVID‐19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to safely restore surgical activity. This article is protected by copyright. All rights reserved.
has issue date	2020-05-12(xsd:dateTime)
bibo:doi	10.1002/bjs.11746
bibo:pmid	32395848
has license	no-cc
sha1sum (hex)	c4241b9fc4403b4b5c4e2f5f31086900f9ceb341
schema:url	https://doi.org/10.1002/bjs.11746
resource representing a document's title	Elective surgery cancellations due to the COVID‐19 pandemic: global predictive modelling to inform surgical recovery plans
has PubMed Central identifier	PMC7272903
has PubMed identifier	32395848
schema:publication	Br J Surg
resource representing a document's body	covid:c4241b9fc4403b4b5c4e2f5f31086900f9ceb341#body_text
is schema:about of	named entity 'COVID-19' named entity 'Appendix' named entity 'inform' named entity 'COVID-19 PANDEMIC' named entity 'COVID-19' named entity 'number' named entity 'cancelled' named entity 'surgical' named entity 'SARS-CoV-2' named entity 'Elective surgery' named entity 'cancelled or postponed' named entity 'resection' named entity 'thoracic surgery' named entity 'orthopaedics' named entity 'Cesarean' named entity 'elective surgery' named entity 'personal protective equipment (PPE' named entity 'critical care' named entity 'Europe' named entity 'Cesarean' named entity 'COVID-19' named entity 'SARS-CoV-2' named entity '12 weeks' named entity 'HDI' named entity 'infection' named entity 'total country' named entity 'Liechtenstein' named entity 'upper bound' named entity 'elective Caesarean section' named entity 'elective surgical' named entity 'health systems' named entity 'World Bank' named entity 'Orthopaedic surgery' named entity 'COVID-19' named entity 'developed countries' named entity 'North Korea' named entity 'urological surgery' named entity 'obstetrics' named entity 'elective surgery' named entity 'intensive care' named entity '12 weeks' named entity 'breast surgery' named entity 'HDI' named entity '12 weeks' named entity 'vascular surgery' named entity 'elective surgery' named entity 'patient safety' named entity 'SARS-CoV-2 outbreak' named entity 'COVID-19 pandemic' named entity 'gynaecological' named entity '12 weeks' named entity 'Hubei' named entity 'operating theatres' named entity 'COVID-19' named entity 'gynaecological' named entity 'caused by COVID-19' named entity 'paediatric surgery' named entity 'COVID-19' named entity '3.6.3' named entity 'regression model' named entity 'ISOS' named entity 'obstetric' named entity 'urological surgery' named entity 'World Bank' named entity 'questionnaire' named entity 'cancelled or postponed' named entity '12 weeks' named entity 'regression model' named entity 'COVID-19' named entity 'chain initiation' named entity 'COVID-19' named entity 'elective surgery' named entity 'deteriorating health' named entity 'COVID-19 pandemic' named entity 'World Bank' named entity 'developed country' named entity 'World Bank' named entity 'cohort studies' named entity 'questionnaire' named entity 'viral transmission' named entity '12 weeks' named entity 'elective surgery'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software