Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic.


Journal

Nature computational science
ISSN: 2662-8457
Titre abrégé: Nat Comput Sci
Pays: United States
ID NLM: 101775476

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 23 02 2021
accepted: 15 07 2021
medline: 1 8 2021
pubmed: 1 8 2021
entrez: 13 1 2024
Statut: ppublish

Résumé

In response to unprecedented surges in the demand for hospital care during the SARS-CoV-2 pandemic, health systems have prioritized patients with COVID-19 to life-saving hospital care to the detriment of other patients. In contrast to these ad hoc policies, we develop a linear programming framework to optimally schedule elective procedures and allocate hospital beds among all planned and emergency patients to minimize years of life lost. Leveraging a large dataset of administrative patient medical records, we apply our framework to the National Health Service in England and show that an extra 50,750-5,891,608 years of life can be gained compared with prioritization policies that reflect those implemented during the pandemic. Notable health gains are observed for neoplasms, diseases of the digestive system, and injuries and poisoning. Our open-source framework provides a computationally efficient approximation of a large-scale discrete optimization problem that can be applied globally to support national-level care prioritization policies.

Identifiants

pubmed: 38217250
doi: 10.1038/s43588-021-00111-1
pii: 10.1038/s43588-021-00111-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

521-531

Subventions

Organisme : Wellcome Trust (Wellcome)
ID : 102169/Z/13/Z
Organisme : RCUK | Medical Research Council (MRC)
ID : MR/R015600/1
Organisme : RCUK | Medical Research Council (MRC)
ID : MR/R015600/1
Organisme : RCUK | Medical Research Council (MRC)
ID : MR/R015600/1
Organisme : RCUK | Medical Research Council (MRC)
ID : MR/R015600/1
Organisme : RCUK | Medical Research Council (MRC)
ID : MR/R015600/1
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : P2ELP2_188028
Organisme : DH | National Institute for Health Research (NIHR)
ID : NIHR200908
Organisme : DH | National Institute for Health Research (NIHR)
ID : NIHR200908

Informations de copyright

© 2021. The Author(s).

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Auteurs

Josh C D'Aeth (JC)

MRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, School of Public Health, Imperial College London, London, UK.
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.

Shubhechyya Ghosal (S)

Department of Analytics, Marketing and Operations, Imperial College Business School, Imperial College London, London, UK.

Fiona Grimm (F)

The Health Foundation, London, UK.

David Haw (D)

MRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, School of Public Health, Imperial College London, London, UK.
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.

Esma Koca (E)

Department of Analytics, Marketing and Operations, Imperial College Business School, Imperial College London, London, UK.

Krystal Lau (K)

Department of Economics and Public Policy, Imperial College Business School, Imperial College London, London, UK.
Centre for Health Economics and Policy Innovation, Imperial College Business School, Imperial College London, London, UK.

Stefano Moret (S)

Department of Analytics, Marketing and Operations, Imperial College Business School, Imperial College London, London, UK.

Dheeya Rizmie (D)

Department of Economics and Public Policy, Imperial College Business School, Imperial College London, London, UK.
Centre for Health Economics and Policy Innovation, Imperial College Business School, Imperial College London, London, UK.

Sarah R Deeny (SR)

The Health Foundation, London, UK.

Pablo N Perez-Guzman (PN)

MRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, School of Public Health, Imperial College London, London, UK.
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.

Neil Ferguson (N)

MRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, School of Public Health, Imperial College London, London, UK.
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.

Katharina Hauck (K)

MRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, School of Public Health, Imperial College London, London, UK.
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.

Peter C Smith (PC)

Department of Economics and Public Policy, Imperial College Business School, Imperial College London, London, UK.
Centre for Health Economics and Policy Innovation, Imperial College Business School, Imperial College London, London, UK.
Centre for Health Economics, University of York, York, UK.

Giovanni Forchini (G)

MRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, School of Public Health, Imperial College London, London, UK.
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.
Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden.

Wolfram Wiesemann (W)

Department of Analytics, Marketing and Operations, Imperial College Business School, Imperial College London, London, UK.

Marisa Miraldo (M)

Department of Economics and Public Policy, Imperial College Business School, Imperial College London, London, UK. m.miraldo@imperial.ac.uk.
Centre for Health Economics and Policy Innovation, Imperial College Business School, Imperial College London, London, UK. m.miraldo@imperial.ac.uk.

Classifications MeSH