Evidence map›Paper›PMID 36057211›Full record

ArticleThe American journal of emergency medicine2022

Potentially avoidable interfacility transfers following reduced emergency department volumes due to COVID-19 "Safer-at-Home" orders.

Graham Van Schaik, Wesley H Self, Cassandra Hennessy, Michael J Ward

Abstract read
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Article in The American journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Graham Van SchaikDepartment of Emergency Medicine, Vanderbilt University Medical Center, United States of America.
Wesley H SelfDepartment of Emergency Medicine, Vanderbilt University Medical Center, United States of America.
Cassandra HennessyDepartment of Biostatistics, Vanderbilt University Medical Center, United States of America.
Michael J WardDepartment of Emergency Medicine, Vanderbilt University Medical Center, United States of America; VA Tennessee Valley Healthcare System, United States of America; Department of Biomedical Informatics, Vanderbilt University Medical Center, United States of America; Veterans Affairs Tennessee Valley Healthcare System, Geriatric Research, Education and Clinical Center (GRECC), Nashville, TN, United States of America. Electronic address: michael.j.ward@vumc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe sought to assess if a state-wide lockdown implemented due to COVID-19 was associated with increased odds of being a potentially avoidable transfer (PAT).

methodsWe conducted a retrospective observational analysis using hospital administrative data of interfacility ED-to-ED transfers to a single, quaternary care adult ED after "Safer at Home" orders were issued March 23rd, 2020 in [Blinded for submission]. Using the PAT classification to identify transfers rapidly discharged from the ED or hospital and may not require in-person care, we used a multivariable logistic regression model to examine the association of the lockdown order with odds of a transfer being a PAT. We compared the period January 1, 2018 to March 23, 2020 with March 24, 2020 to September 30, 2020, adjusting for seasonality, patient, and situational factors.

resultsThere were 20,978 ED-to-ED transfers from during this period that were eligible and 4806 (23%) that met PAT criteria. While the first month post-lockdown saw a decrease in PATs (28%), this was not sustained. In the multivariable model there was a significant seasonal effect; May through September had the highest number of transfers as well as PATs. After adjusting for seasonality, the lockdown was not associated with PATs (adjusted odds ratio [aOR] 0.99, 95% CI 0.2, 5.2) and PATs decreased over time.

conclusionsWe did not find an effect of the COVID-19 lockdown on PATs though there was a considerable seasonal effect and an overall downward trend in PATs over time.

Indexed as

COVID-19Patient TransferAdultCommunicable Disease ControlEmergency Service, HospitalHumansRetrospective StudiesCOVID-19EDTelehealthTransfers

Identifiers

PMID36057211
PMCPMC9389782

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.