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Assessing the heterogeneity of the impact of COVID-19 incidence on all-cause excess mortality among healthcare districts in Lombardy, Italy, to evaluate the local response to the pandemic: an ecological study.
Paganuzzi, Marco; Nattino, Giovanni; Ghilardi, Giulia Irene; Costantino, Giorgio; Rossi, Carlotta; Cortellaro, Francesca; Cosentini, Roberto; Paglia, Stefano; Migliori, Maurizio; Mira, Antonietta; Bertolini, Guido.
Afiliação
  • Paganuzzi M; University of Milan, Milan, Italy.
  • Nattino G; Laboratory of Clinical Epidemiology, Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Ghilardi GI; Laboratory of Clinical Epidemiology, Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Costantino G; Laboratory of Clinical Epidemiology, Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Rossi C; University of Milan, Milan, Italy.
  • Cortellaro F; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Cosentini R; Laboratory of Clinical Epidemiology, Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy carlotta.rossi@marionegri.it.
  • Paglia S; Agenzia Regionale Emergenza Urgenza, Milano, Italy.
  • Migliori M; Emergency Department, ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Mira A; Emergency Department, ASST Lodi, Lodi, Italy.
  • Bertolini G; Agenzia Regionale Emergenza Urgenza, Milano, Italy.
BMJ Open ; 14(2): e077476, 2024 02 07.
Article em En | MEDLINE | ID: mdl-38326265
ABSTRACT

OBJECTIVES:

The fragmentation of the response to the COVID-19 pandemic at national, regional and local levels is a possible source of variability in the impact of the pandemic on society. This study aims to assess how much of this variability affected the burden of COVID-19, measured in terms of all-cause 2020 excess mortality.

DESIGN:

Ecological retrospective study.

SETTING:

Lombardy region of Italy, 2015-2020. OUTCOME

MEASURES:

We evaluated the relationship between the intensity of the epidemics and excess mortality, assessing the heterogeneity of this relationship across the 91 districts after adjusting for relevant confounders.

RESULTS:

The epidemic intensity was quantified as the COVID-19 hospitalisations per 1000 inhabitants. Five confounders were identified through a directed acyclic graph age distribution, population density, pro-capita gross domestic product, restriction policy and population mobility.Analyses were based on a negative binomial regression model with district-specific random effects. We found a strong, positive association between COVID-19 hospitalisations and 2020 excess mortality (p<0.001), estimating that an increase of one hospitalised COVID-19 patient per 1000 inhabitants resulted in a 15.5% increase in excess mortality. After adjusting for confounders, no district differed in terms of COVID-19-unrelated excess mortality from the average district. Minimal heterogeneity emerged in the district-specific relationships between COVID-19 hospitalisations and excess mortality (6 confidence intervals out of 91 did not cover the null value).

CONCLUSIONS:

The homogeneous effect of the COVID-19 spread on the excess mortality in the Lombardy districts suggests that, despite the unprecedented conditions, the pandemic reactions did not result in health disparities in the region.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article