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Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories.
Caro, J Jaime; Möller, Jörgen; Santhirapala, Vatshalan; Gill, Harpreet; Johnston, Jessica; El-Boghdadly, Kariem; Santhirapala, Ramai; Kelly, Paul; McGuire, Alistair.
Afiliação
  • Caro JJ; Department of Health Policy, London School of Economics and Political Science, London, England, UK; Evidera, London, England, UK. Electronic address: jaime.caro@evidera.com.
  • Möller J; Evidera, London, England, UK.
  • Santhirapala V; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
  • Gill H; Department of Health Policy, London School of Economics and Political Science, London, England, UK; Department of Theatres, Anaesthesia, and Perioperative Care, Guy's and St Thomas' NHS Foundation Trust, London, England, UK.
  • Johnston J; Department of Theatres, Anaesthesia, and Perioperative Care, Guy's and St Thomas' NHS Foundation Trust, London, England, UK.
  • El-Boghdadly K; Department of Theatres, Anaesthesia, and Perioperative Care, Guy's and St Thomas' NHS Foundation Trust, London, England, UK.
  • Santhirapala R; Department of Theatres, Anaesthesia, and Perioperative Care, Guy's and St Thomas' NHS Foundation Trust, London, England, UK.
  • Kelly P; Department of Theatres, Anaesthesia, and Perioperative Care, Guy's and St Thomas' NHS Foundation Trust, London, England, UK.
  • McGuire A; Department of Health Policy, London School of Economics and Political Science, London, England, UK.
Value Health ; 24(11): 1570-1577, 2021 11.
Article em En | MEDLINE | ID: mdl-34711356

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Alocação de Recursos / Capacidade de Resposta ante Emergências / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Value Health Assunto da revista: FARMACOLOGIA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Alocação de Recursos / Capacidade de Resposta ante Emergências / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Value Health Assunto da revista: FARMACOLOGIA Ano de publicação: 2021 Tipo de documento: Article