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Application of the Haddon matrix to COVID-19 prevention and containment in nursing homes.
Fritch, William M; Agnew, Jacqueline; Rosman, Lori; Cadorette, Maureen A; Barnett, Daniel J.
  • Fritch WM; Infectious Disease Epidemiology Program, Health Surveillance Division, Vermont Department of Health, Burlington, Vermont, USA.
  • Agnew J; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Rosman L; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Cadorette MA; Welch Medical Library, Johns Hopkins University, Baltimore, Maryland, USA.
  • Barnett DJ; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
J Am Geriatr Soc ; 69(10): 2708-2715, 2021 10.
Article in English | MEDLINE | ID: covidwho-1301523
ABSTRACT
COVID-19 has exacted a disproportionate toll on the health of persons living in nursing homes. Healthcare providers and other decision-makers in those settings must refer to multiple evolving sources of guidance to coordinate care delivery in such a way as to minimize the introduction and spread of the causal virus, SARS-CoV-2. It is essential that guidance be presented in an accessible and usable format to facilitate its translation into evidence-based best practice. In this article, we propose the Haddon matrix as a tool well-suited to this task. The Haddon matrix is a conceptual model that organizes influencing factors into pre-event, event, and post-event phases, and into host, agent, and environment domains akin to the components of the epidemiologic triad. The Haddon matrix has previously been applied to topics relevant to the care of older persons, such as fall prevention, as well as to pandemic planning and response. Presented here is a novel application of the Haddon matrix to pandemic response in nursing homes, with practical applications for nursing home decision-makers in their efforts to prevent and contain COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Civil Defense / Infection Control / Models, Organizational / Evidence-Based Practice / COVID-19 / Homes for the Aged / Nursing Homes Type of study: Experimental Studies / Observational study Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: J Am Geriatr Soc Year: 2021 Document Type: Article Affiliation country: Jgs.17358

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Civil Defense / Infection Control / Models, Organizational / Evidence-Based Practice / COVID-19 / Homes for the Aged / Nursing Homes Type of study: Experimental Studies / Observational study Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: J Am Geriatr Soc Year: 2021 Document Type: Article Affiliation country: Jgs.17358