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Risk Factors Associated with Nursing Home COVID-19 Outbreaks: A Retrospective Cohort Study.
Cazzoletti, Lucia; Zanolin, Maria Elisabetta; Tocco Tussardi, Ilaria; Alemayohu, Mulubirhan Assefa; Zanetel, Ernesto; Visentin, Donatella; Fabbri, Luca; Giordani, Massimo; Ruscitti, Giancarlo; Benetollo, Pier Paolo; Tardivo, Stefano; Torri, Emanuele.
  • Cazzoletti L; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Zanolin ME; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Tocco Tussardi I; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Alemayohu MA; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Zanetel E; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Visentin D; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Fabbri L; Azienda Provinciale per i Servizi Sanitari, Autonomous Province of Trento, 38123 Trento, Italy.
  • Giordani M; Unione Provinciale Istituzioni per l'Assistenza, Autonomous Province of Trento, 38122 Trento, Italy.
  • Ruscitti G; Department of Health and Social Policies, Autonomous Province of Trento, 38122 Trento, Italy.
  • Benetollo PP; Azienda Provinciale per i Servizi Sanitari, Autonomous Province of Trento, 38123 Trento, Italy.
  • Tardivo S; Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
  • Torri E; Department of Health and Social Policies, Autonomous Province of Trento, 38122 Trento, Italy.
Int J Environ Res Public Health ; 18(16)2021 08 10.
Article in English | MEDLINE | ID: covidwho-1348641
ABSTRACT

BACKGROUND:

The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on nursing homes/long-term care facilities. This study examined the relationship between geography, size, design, organizational characteristics, and implementation of infection prevention and control (IPC) measures and the extent of COVID-19 outbreaks in nursing homes in the Autonomous Province of Trento (Italy) during the time frame of March-May 2020.

METHODS:

The analysis included 57 nursing homes (5145 beds). The association between median cumulative incidence of COVID-19 cases among residents and characteristics of nursing homes was assessed by Mann-Whitney U test, Kruskal-Wallis test or Spearman rho. To evaluate the potential confounding of geographical area, a 2-level random intercept logistic model was fitted, with level 1 units (patients in nursing homes) nested into level 2 units (nursing homes), and "being a COVID-19 case" as the dependent variable.

RESULTS:

Median cumulative incidence was not significantly associated with any of the variables, except for geographical region (p = 0.002). COVID-19 cases clustered in the part of the province bordering the Italian region most affected by the pandemic (Lombardy) (45.2% median cumulative incidence).

CONCLUSIONS:

Structural/organizational factors and standard IPC measures may not predict the epidemiology of COVID-19 outbreaks and be sufficient alone to protect nursing homes against them.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph18168434

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph18168434