TY - JOUR
T1 - Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic
T2 - A time-series analysis
AU - Sahrmann, John M.
AU - Nickel, Katelin B.
AU - Stwalley, Dustin
AU - Dubberke, Erik R.
AU - Lyons, Patrick G.
AU - Michelson, Andrew P.
AU - McMullen, Kathleen M.
AU - Gandra, Sumanth
AU - Olsen, Margaret A.
AU - Kwon, Jennie H.
AU - Burnham, Jason P.
N1 - Funding Information:
This study was funded by the Centers for Disease Control and Prevention (CDC grant no. 75D30120C09598 to J.P.B.). J.H.K. is supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health (grant no. 1K23AI137321 to J. H.K.).
Publisher Copyright:
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.
PY - 2023/1/17
Y1 - 2023/1/17
N2 - Objective: To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders. Design: We conducted a cross-sectional study of HAIs in 3 hospitals in Missouri from January 1, 2017, through August 31, 2020, using interrupted time-series analysis with 2 counterfactual scenarios. Setting: The study was conducted at 1 large quaternary-care referral hospital and 2 community hospitals. Participants: All adults ≥18 years of age hospitalized at a study hospital for ≥48 hours were included in the study. Results: In total, 254,792 admissions for ≥48 hours occurred during the study period. The average age of these patients was 57.6 (±19.0) years, and 141,107 (55.6%) were female. At hospital 1, 78 CLABSIs, 33 CAUTIs, and 88 VAEs were documented during the pandemic period. Hospital 2 had 13 CLABSIs, 6 CAUTIs, and 17 VAEs. Hospital 3 recorded 11 CLABSIs, 8 CAUTIs, and 11 VAEs. Point estimates for hypothetical excess HAIs suggested an increase in all infection types across facilities, except for CLABSIs and CAUTIs at hospital 1 under the no pandemic scenario. Conclusions: The COVID-19 era was associated with increases in CLABSIs, CAUTIs, and VAEs at 3 hospitals in Missouri, with variations in significance by hospital and infection type. Continued vigilance in maintaining optimal infection prevention practices to minimize HAIs is warranted.
AB - Objective: To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders. Design: We conducted a cross-sectional study of HAIs in 3 hospitals in Missouri from January 1, 2017, through August 31, 2020, using interrupted time-series analysis with 2 counterfactual scenarios. Setting: The study was conducted at 1 large quaternary-care referral hospital and 2 community hospitals. Participants: All adults ≥18 years of age hospitalized at a study hospital for ≥48 hours were included in the study. Results: In total, 254,792 admissions for ≥48 hours occurred during the study period. The average age of these patients was 57.6 (±19.0) years, and 141,107 (55.6%) were female. At hospital 1, 78 CLABSIs, 33 CAUTIs, and 88 VAEs were documented during the pandemic period. Hospital 2 had 13 CLABSIs, 6 CAUTIs, and 17 VAEs. Hospital 3 recorded 11 CLABSIs, 8 CAUTIs, and 11 VAEs. Point estimates for hypothetical excess HAIs suggested an increase in all infection types across facilities, except for CLABSIs and CAUTIs at hospital 1 under the no pandemic scenario. Conclusions: The COVID-19 era was associated with increases in CLABSIs, CAUTIs, and VAEs at 3 hospitals in Missouri, with variations in significance by hospital and infection type. Continued vigilance in maintaining optimal infection prevention practices to minimize HAIs is warranted.
UR - http://www.scopus.com/inward/record.url?scp=85146899530&partnerID=8YFLogxK
U2 - 10.1017/ash.2022.361
DO - 10.1017/ash.2022.361
M3 - Article
C2 - 36714284
AN - SCOPUS:85146899530
SN - 2732-494X
VL - 3
JO - Antimicrobial Stewardship and Healthcare Epidemiology
JF - Antimicrobial Stewardship and Healthcare Epidemiology
IS - 1
M1 - e14
ER -