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

A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models