Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis.

ABSTRACT:

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

SUBMITTER: Sahrmann JM 

PROVIDER: S-EPMC9879893 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature