Conference proceeding
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
2017 IEEE International Conference on Healthcare Informatics (ICHI), pp.66-73
08/2017
DOI: 10.1109/ICHI.2017.12
Abstract
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 exist among facilities.
Details
- Title: Subtitle
- A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
- Creators
- Michael T Lash - University of IowaJason Slater - Gojo (France)Philip M Polgreen - Roy J. and Lucille A. Carver College of MedicineAlberto M Segre - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2017 IEEE International Conference on Healthcare Informatics (ICHI), pp.66-73
- DOI
- 10.1109/ICHI.2017.12
- Publisher
- IEEE
- Language
- English
- Date published
- 08/2017
- Academic Unit
- Infectious Diseases; Epidemiology; Nursing; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Computer Science; Business Analytics; Internal Medicine
- Record Identifier
- 9984259432402771
Metrics
19 Record Views