Built Environment and SARS-CoV-2 Transmission in Long-Term Care Facilities: Cross-Sectional Survey and Data Linkage.

COVID-19 built environment infection prevention & control infection transmission long-term care older adults

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:
05 Dec 2023
Historique:
received: 20 07 2023
revised: 27 10 2023
accepted: 27 10 2023
medline: 9 12 2023
pubmed: 9 12 2023
entrez: 8 12 2023
Statut: aheadofprint

Résumé

To describe the built environment in long-term care facilities (LTCF) and its association with introduction and transmission of SARS-CoV-2 infection. Cross-sectional survey with linkage to routine surveillance data. LTCFs in England caring for adults ≥65 years old, participating in the VIVALDI study (ISRCTN14447421) were eligible. Data were included from residents and staff. Cross-sectional survey of the LTCF built environment with linkage to routinely collected asymptomatic and symptomatic SARS-CoV-2 testing and vaccination data between September 1, 2020, and March 31, 2022. We used individual and LTCF level Poisson and Negative Binomial regression models to identify risk factors for 4 outcomes: incidence rate of resident infections and outbreaks, outbreak size, and duration. We considered interactions with variant transmissibility (pre vs post Omicron dominance). A total of 134 of 151 (88.7%) LTCFs participated in the survey, contributing data for 13,010 residents and 17,766 staff. After adjustment and stratification, outbreak incidence (measuring infection introduction) was only associated with SARS-CoV-2 incidence in the community (incidence rate ratio [IRR] for high vs low incidence, 2.84; 95% CI, 1.85-4.36). Characteristics of the built environment were associated with transmission outcomes and differed by variant transmissibility. For resident infection incidence, factors included number of storeys (0.64; 0.43-0.97) and bedrooms (1.04; 1.02-1.06), and purpose-built vs converted buildings (1.99; 1.08-3.69). Air quality was associated with outbreak size (dry vs just right 1.46; 1.00-2.13). Funding model (0.99; 0.99-1.00), crowding (0.98; 0.96-0.99), and bedroom temperature (1.15; 1.01-1.32) were associated with outbreak duration. We describe previously undocumented diversity in LTCF built environments. LTCFs have limited opportunities to prevent SARS-CoV-2 introduction, which was only driven by community incidence. However, adjusting the built environment, for example by isolating infected residents or improving airflow, may reduce transmission, although data quality was limited by subjectivity. Identifying LTCF built environment modifications that prevent infection transmission should be a research priority.

Identifiants

pubmed: 38065220
pii: S1525-8610(23)00942-8
doi: 10.1016/j.jamda.2023.10.027
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Maria Krutikov (M)

UCL Institute of Health Informatics, London, UK. Electronic address: m.krutikov@ucl.ac.uk.

Oliver Stirrup (O)

UCL Institute for Global Health, London, UK.

Chris Fuller (C)

UCL Institute of Health Informatics, London, UK.

Natalie Adams (N)

UCL Institute of Health Informatics, London, UK.

Borscha Azmi (B)

UCL Institute of Health Informatics, London, UK.

Aidan Irwin-Singer (A)

UK Health Security Agency, London, UK.

Niyathi Sethu (N)

UCL Institute for Environmental Design and Engineering, London, UK.

Andrew Hayward (A)

UCL Institute of Epidemiology & Health Care, London, UK.

Hector Altamirano (H)

UCL Institute for Environmental Design and Engineering, London, UK.

Andrew Copas (A)

UCL Institute for Global Health, London, UK.

Laura Shallcross (L)

UCL Institute of Health Informatics, London, UK.

Classifications MeSH