  This large-scale study, consisting of 24.5 million hand hygiene opportunities
spanning 19 distinct facilities in 10 different states, uses linear predictive
models to expose factors that may affect hand hygiene compliance. We examine
the use of features such as temperature, relative humidity, influenza severity,
day/night shift, federal holidays and the presence of new residents in
predicting daily hand hygiene compliance. The results suggest that colder
temperatures and federal holidays have an adverse effect on hand hygiene
compliance rates, and that individual cultures and attitudes regarding hand
hygiene seem to exist among facilities.
