Falls Risk in Long-Term Care Residents With Cognitive Impairment: Effects of COVID-19 Pandemic.

COVID-19 Falls big data cognitive impairment dementia interRAI long-term care nursing home risk

Journal

Journal of the American Medical Directors Association
ISSN: 1538-9375
Titre abrégé: J Am Med Dir Assoc
Pays: United States
ID NLM: 100893243

Informations de publication

Date de publication:
14 Dec 2023
Historique:
received: 30 09 2023
revised: 06 11 2023
accepted: 08 11 2023
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 17 12 2023
Statut: aheadofprint

Résumé

The aim of this study was to investigate the impact of the COVID-19 pandemic on falls rates in long-term care residents with cognitive impairment. An observational study using routinely collected national interRAI data. Participants were from long-term care residents (age ≥60 years) who received an interRAI Long Term Care Facility assessment anywhere in New Zealand between August 17, 2018, and August 16, 2022. The primary outcome was "At least 1 fall in the last 30 days." Based on the Cognitive Performance Scale (CPS), cognitive impairment was categorized into 3 levels: intact or borderline intact (0-1), mild to moderate impairment (2-3), and moderately to very severe impairment (4-6). The COVID-19 pandemic was divided into 3 periods (First wave: March 21, 2020, to June 8, 2020; Varying level of community outbreaks: June 9, 2020 to August 16, 2021; and Delta-Omicron wave: August 17, 2021, to August 16, 2021) and compared to a pre-COVID-19 period (August 17, 2018, to March 20, 2020). Cox regression modeling was used to study falls and interactions between CPS and COVID-19 pandemic periods, along with other established falls risk factors in the literature. A total of 282,518 interRAI-LTCF assessments from 75,132 unique residents were included. Interactions between CPS and COVID-19 pandemic periods found that cognitive impairment was associated with a higher hazard ratio (ranged from 1.22 to 1.37) in each of the 3 COVID-19 pandemic periods. We also found unstable health, unsteady gait, wandering, and moderate to severe ADL dependency were the strongest risk factors for falls. Cognitively impaired long-term care residents had an increased risk for falls during the COVID-19 pandemic. This risk was influenced by several factors. In future pandemic or infection control related isolation, residents who are most at risk can be identified for targeted falls prevention programs.

Identifiants

pubmed: 38104633
pii: S1525-8610(23)00953-2
doi: 10.1016/j.jamda.2023.11.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Disclosure The authors declare no conflicts of interest.

Auteurs

Gary Cheung (G)

Department of Psychological Medicine, School of Medicine, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand. Electronic address: g.cheung@auckland.ac.nz.

Kebede Beyene (K)

Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy, St Louis, MO, USA.

Amy Hai Yan Chan (AH)

School of Pharmacy, Faculty of Medical and Health Sciences, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand.

Bradley Alan Drayton (BA)

Department of Statistics, Faculty of Science, The University of Auckland, Auckland, New Zealand.

Hamish Jamieson (H)

Department of Medicine, Christchurch Medical School, University of Otago, Christchurch, New Zealand.

Mataroria Lyndon (M)

The Centre for Medical and Health Sciences Education, School of Medicine, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand.

Joanna Hikaka (J)

Te Kupenga Hauora Māori, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.

Etuini Ma'u (E)

Department of Psychological Medicine, School of Medicine, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand.

Brigette Meehan (B)

interRAI New Zealand, Te Whatu Ora/Health New Zealand, New Zealand.

Xaviour Walker (X)

Department of Medicine, Otago Medical School, University of Otago, Dunedin, New Zealand.

Claudia Rivera-Rodriguez (C)

Department of Statistics, Faculty of Science, The University of Auckland, Auckland, New Zealand.

Classifications MeSH