Interregional Transfers for Pandemic Surges.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
06 12 2021
Historique:
received: 31 08 2020
pubmed: 11 10 2020
medline: 15 12 2021
entrez: 10 10 2020
Statut: ppublish

Résumé

Hospital inpatient and intensive care unit (ICU) bed shortfalls may arise due to regional surges in volume. We sought to determine how interregional transfers could alleviate bed shortfalls during a pandemic. We used estimates of past and projected inpatient and ICU cases of coronavirus disease 2019 (COVID-19) from 4 February 2020 to 1 October 2020. For regions with bed shortfalls (where the number of patients exceeded bed capacity), transfers to the nearest region with unused beds were simulated using an algorithm that minimized total interregional transfer distances across the United States. Model scenarios used a range of predicted COVID-19 volumes (lower, mean, and upper bounds) and non-COVID-19 volumes (20%, 50%, or 80% of baseline hospital volumes). Scenarios were created for each day of data, and worst-case scenarios were created treating all regions' peak volumes as simultaneous. Mean per-patient transfer distances were calculated by scenario. For the worst-case scenarios, national bed shortfalls ranged from 669 to 58 562 inpatient beds and 3208 to 31 190 ICU beds, depending on model volume parameters. Mean transfer distances to alleviate daily bed shortfalls ranged from 23 to 352 miles for inpatient and 28 to 423 miles for ICU patients, depending on volume. Under all worst-case scenarios except the highest-volume ICU scenario, interregional transfers could fully resolve bed shortfalls. To do so, mean transfer distances would be 24 to 405 miles for inpatients and 73 to 476 miles for ICU patients. Interregional transfers could mitigate regional bed shortfalls during pandemic hospital surges.

Sections du résumé

BACKGROUND
Hospital inpatient and intensive care unit (ICU) bed shortfalls may arise due to regional surges in volume. We sought to determine how interregional transfers could alleviate bed shortfalls during a pandemic.
METHODS
We used estimates of past and projected inpatient and ICU cases of coronavirus disease 2019 (COVID-19) from 4 February 2020 to 1 October 2020. For regions with bed shortfalls (where the number of patients exceeded bed capacity), transfers to the nearest region with unused beds were simulated using an algorithm that minimized total interregional transfer distances across the United States. Model scenarios used a range of predicted COVID-19 volumes (lower, mean, and upper bounds) and non-COVID-19 volumes (20%, 50%, or 80% of baseline hospital volumes). Scenarios were created for each day of data, and worst-case scenarios were created treating all regions' peak volumes as simultaneous. Mean per-patient transfer distances were calculated by scenario.
RESULTS
For the worst-case scenarios, national bed shortfalls ranged from 669 to 58 562 inpatient beds and 3208 to 31 190 ICU beds, depending on model volume parameters. Mean transfer distances to alleviate daily bed shortfalls ranged from 23 to 352 miles for inpatient and 28 to 423 miles for ICU patients, depending on volume. Under all worst-case scenarios except the highest-volume ICU scenario, interregional transfers could fully resolve bed shortfalls. To do so, mean transfer distances would be 24 to 405 miles for inpatients and 73 to 476 miles for ICU patients.
CONCLUSIONS
Interregional transfers could mitigate regional bed shortfalls during pandemic hospital surges.

Identifiants

pubmed: 33038215
pii: 5920707
doi: 10.1093/cid/ciaa1549
pmc: PMC7665371
mid: NIHMS1640115
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e4103-e4110

Subventions

Organisme : AHRQ HHS
ID : K08 HS026503
Pays : United States
Organisme : Agency for Healthcare Research and Quality
ID : K08HS026503

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Auteurs

Kenneth A Michelson (KA)

Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.

Chris A Rees (CA)

Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.

Jayshree Sarathy (J)

Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts, USA.

Paige VonAchen (P)

Department of Pediatrics, Boston Children's Hospital and Boston Medical Center, Boston, Massachusetts, USA.

Michael Wornow (M)

Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts, USA.

Michael C Monuteaux (MC)

Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.

Mark I Neuman (MI)

Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.

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