TY - JOUR
T1 - Factors influencing SARS-CoV-2 infection rate in Belgian nursing home residents during the first wave of COVID-19 pandemic
AU - Peckeu-Abboud, L.
AU - Van Kleef, E.
AU - Smekens, T.
AU - Latour, K.
AU - Dequeker, S.
AU - Int Panis, L.
AU - Laga, M.
N1 - Publisher Copyright:
Copyright © The Author(s), 2022. Published by Cambridge University Press.
PY - 2022/2/22
Y1 - 2022/2/22
N2 - In April 2020, Belgium experienced high numbers of fatal COVID-19 cases among nursing home (NH) residents. In response, a mass testing campaign was organised testing all NH residents and staff. We analysed the data of Flemish NHs to identify institutional factors associated with increased SARS-CoV-2 infection rates among NH residents. Cross-sectional study was conducted between 8 April and 15 May 2020. Data collected included demographics, group category (i.e. staff or resident), symptom status and test result. We retrieved additional data: number of beds and staff, type of beds (level of dependency of residents) and ownership (public, private for profit/non-profit institutions). Risk factor analysis was performed using negative binomial regression. In total, 695 NHs were included, 282 (41%) had at least one resident tested positive. Higher infection rate among residents was associated with a higher fraction of RVT beds, generally occupied by more dependent residents (incidence rate ratio (IRR) 1.97; 95% CI 1.00-3.86) and higher staff infection rate (IRR 1.89; 95% CI 1.68-2.12). No relationship was found between other investigated NH characteristics and infection rate among residents. Staff-resident interactions are key in SARS-CoV-2 transmission dynamics. Vaccination, regular staff testing, assessment of infection prevention and control strategies in all NHs are needed to face future SARS-CoV-2 epidemics in these settings.
AB - In April 2020, Belgium experienced high numbers of fatal COVID-19 cases among nursing home (NH) residents. In response, a mass testing campaign was organised testing all NH residents and staff. We analysed the data of Flemish NHs to identify institutional factors associated with increased SARS-CoV-2 infection rates among NH residents. Cross-sectional study was conducted between 8 April and 15 May 2020. Data collected included demographics, group category (i.e. staff or resident), symptom status and test result. We retrieved additional data: number of beds and staff, type of beds (level of dependency of residents) and ownership (public, private for profit/non-profit institutions). Risk factor analysis was performed using negative binomial regression. In total, 695 NHs were included, 282 (41%) had at least one resident tested positive. Higher infection rate among residents was associated with a higher fraction of RVT beds, generally occupied by more dependent residents (incidence rate ratio (IRR) 1.97; 95% CI 1.00-3.86) and higher staff infection rate (IRR 1.89; 95% CI 1.68-2.12). No relationship was found between other investigated NH characteristics and infection rate among residents. Staff-resident interactions are key in SARS-CoV-2 transmission dynamics. Vaccination, regular staff testing, assessment of infection prevention and control strategies in all NHs are needed to face future SARS-CoV-2 epidemics in these settings.
KW - Belgian nursing homes
KW - risk factors analysis
KW - SARS-CoV infection rate
UR - http://www.scopus.com/inward/record.url?scp=85126024707&partnerID=8YFLogxK
U2 - 10.1017/S0950268822000334
DO - 10.1017/S0950268822000334
M3 - Article
C2 - 35403594
AN - SCOPUS:85126024707
SN - 0950-2688
VL - 150
JO - Epidemiology and Infection
JF - Epidemiology and Infection
M1 - e72
ER -