Application of the Haddon matrix to COVID ‐19 prevention and containment in nursing homes
| Autor: | Jacqueline Agnew, William M. Fritch, Maureen Cadorette, Lori Rosman, Daniel J. Barnett |
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| Rok vydání: | 2021 |
| Předmět: |
Evidence-based practice
Civil defense Health Services for the Aged Best practice media_common.quotation_subject Internet privacy Special Article COVID‐19 Disease Transmission Infectious Homes for the Aged Humans Medicine Haddon Matrix Aged media_common Infection Control SARS-CoV-2 business.industry Event (computing) COVID-19 Civil Defense long‐term care Organizational Innovation United States Nursing Homes Haddon matrix nursing home Long-term care Evidence-Based Practice Models Organizational Conceptual model Special Articles Geriatrics and Gerontology business Fall prevention |
| Zdroj: | Journal of the American Geriatrics Society |
| ISSN: | 1532-5415 0002-8614 |
| DOI: | 10.1111/jgs.17358 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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