Evidence map›Paper›PMID 40756386›Full record

ArticleFrontiers in public health2025

The impact of COVID-19 hospitalizations on nursing home admissions: a regional insight into long-term care and public health.

Alessandra Bandera, Marta Colaneri, Alessia Antonella Galbussera, Marta Canuti, Lucia Dall'Olio, Alessandro Nobili, Massimo Puoti, Giulia Carla Marchetti, Simone Piva, Pierluigi Plebani and 11 more

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

21 authors.

Alessandra Bandera *Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Marta Colaneri *Department of Biomedical and Clinical Sciences, Infectious and Tropical Diseases Operational Unit ASST Fatebenefratelli Sacco, "L. Sacco" University Hospital, Milan, Italy.
Alessia Antonella GalbusseraDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Marta CanutiDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.
Lucia Dall'OlioCentre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy.
Alessandro NobiliDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Massimo PuotiDepartment of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Giulia Carla MarchettiClinic of Infectious Diseases, Department of Health Sciences, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Simone PivaDepartment of Emergency, ASST Spedali Civili University Hospital, Brescia, Italy.
Pierluigi PlebaniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Mario RaviglioneCentre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy.
Andrea GoriDepartment of Biomedical and Clinical Sciences, Infectious and Tropical Diseases Operational Unit ASST Fatebenefratelli Sacco, "L. Sacco" University Hospital, Milan, Italy.
Danilo CeredaDirectorate General for Health, Milan, Italy.
Olivia LeoniDirectorate General for Health, Milan, Italy.
Ida FortinoDirectorate General for Health, Milan, Italy.
Maria Luisa Ojeda FernandezDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Pier Mannuccio MannucciFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Milan, Italy.
Pasquale AgostiDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Fabrizio TediosiCentre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy.
Marta BavieraDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Mauro TettamantiDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To obtain the rate of admission to nursing homes (NHs) and to evaluate clinical characteristics and mortality rates of patients admitted to NHs after hospitalizations for COVID-19, compared to non-COVID-19 acutely hospitalized patients. Methods: We analyzed administrative data from Lombardy, a Northen Italian region, in individuals aged ≥50 years who were hospitalized and discharged alive in 2018 for acute conditions or, between February 2020 and June 2022, for COVID-19. Outcomes included NH institutionalization rates within 180 post-discharge day and mortality following NH admission. Kaplan-Meier curves and Cox proportional hazard models adjusted for age, sex, and comorbidities were used to assess the risks. Results: Among 133,216 COVID-19 hospitalizations in 2020-2022 and 239,099 acute hospitalizations in 2018, institutionalization rates within 180 post-discharge days were similar (3.7% for both cohorts). However, COVID-19 patients had higher adjusted risks of institutionalization (HR 1.70; 95% CI 1.63-1.78) and mortality within 6 months after NH admission (HR 2.08; 95% CI 1.90-2.27). Differences were more pronounced when considering patients hospitalized during the first COVID-19 pandemic wave. Conclusion: COVID-19 hospitalization significantly increases the risks of admission to NHs and early mortality after institutionalization in older individuals compared to hospitalizations due to other acute conditions.

Indexed as

COVID-19HospitalizationLong-Term CareNursing HomesPublic HealthAgedAged, 80 and overFemaleHumansItalyMaleMiddle AgedProportional Hazards ModelsSARS-CoV-2administrative databasesCOVID-19institutionalizationnursing homepost-acute care

Identifiers

PMID40756386
PMCPMC12315697

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.