Random variation drives a critical bias in the comparison of healthcare-associated infections.

Kenneth J Locey,Thomas A Webb,Robert A Weinstein,Bala Hota,Brian D Stein

Infection control and hospital epidemiology（2023）

Cited 0|Views10

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Abstract

SIRs and numbers of HAIs are strongly influenced by random effects of volume. Mitigating these effects drastically alters rankings for HAI types and may further alter penalty assignments in programs that aim to reduce HAIs and improve quality of care.

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Key words

infections,critical bias,random variation,healthcare-associated

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