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How the Italian Formula 1 Grand Prix 2022 Mass Gathering Event Compares to the Arbon Model: A Descriptive Study.
Paleari, Andrea; Spina, Stefano; Marrazzo, Francesco; Ripoll, Alba; Volontè, Fabio; Greco, Gianluca; Zoli, Alberto; Sechi, Giuseppe Maria; Saggiante, Diego; Chiodini, Gianluca; Stucchi, Riccardo; Fumagalli, Roberto.
Afiliação
  • Paleari A; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
  • Spina S; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
  • Marrazzo F; Department of Anesthesia, Critical Care and Pain Medicine, Niguarda Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
  • Ripoll A; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
  • Volontè F; Department of Anesthesia, Critical Care and Pain Medicine, Niguarda Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
  • Greco G; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
  • Zoli A; Department of Anesthesia, Critical Care and Pain Medicine, Niguarda Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
  • Sechi GM; Research Centre in Emergency and Disaster Medicine (CRIMEDIM), Università del Piemonte Orientale, Novara, Italy.
  • Saggiante D; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
  • Chiodini G; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
  • Stucchi R; Department of Anesthesia, Critical Care and Pain Medicine, San Gerardo Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
  • Fumagalli R; Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
Disaster Med Public Health Prep ; 17: e468, 2023 07 21.
Article em En | MEDLINE | ID: mdl-37477015
ABSTRACT

OBJECTIVE:

To describe the health-care resources implemented during the Italian Formula 1 Grand Prix (F1GP) and to calculate the patient presentation rate (PPR) based on both real data and a prediction model.

METHODS:

Observational and descriptive study conducted from September 9 to September 11, 2022, during the Italian F1GP hosted in Monza (Italy). Maurer's formula was applied to decide the number and type of health resources to be allocated. Patient presentation rate (PPR) was computed based on real data (PPR_real) and based on the Arbon formula (PPR_est).

RESULTS:

Of 336,000 attendees, n = 263 requested medical assistance with most of them receiving treatment at the advanced medical post, and n = 16 needing transport to the hospital. The PPR_real was 51 for Friday, 78 for Saturday, 134 for Sunday, and 263 when considering the whole event as a single event. The PPR_est resulted in 85 for Friday, 93 for Saturday, 97 for Sunday, and 221 for the total population.

CONCLUSIONS:

A careful organization of health-care resources could mitigate the impact of the Italian F1GP on local hospital facilities. The Arbon formula is an acceptable model to predict and estimate the number of patients requesting medical assistance, but further investigation needs to be conducted to implement the model and tailor it to broader categories of MGE.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Serviços Médicos de Emergência Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Disaster Med Public Health Prep Assunto da revista: SAUDE PUBLICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Serviços Médicos de Emergência Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Disaster Med Public Health Prep Assunto da revista: SAUDE PUBLICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália