  This large-scale study, consisting of 21.3 million hand hygiene opportunities
from 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 medical residents in
predicting daily hand hygiene compliance; the investigation is undertaken using
both a "global" model to glean general trends, and facility-specific models to
elicit facility-specific insights. 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 exist among
facilities.
