Book chapter
Statistical Issues: How to Overcome the Complexity of Data Analysis in Hand Hygiene Research?
Hand Hygiene, pp.42-50
John Wiley & Sons, Inc
05/01/2017
DOI: 10.1002/9781118846810.ch7
Abstract
Improving healthcare workers (HCWs) attitudes and compliance towards hand hygiene is complex. Challenges are related to primary health education, cultural aspects, individual beliefs on risks and responsibility, and perception of their own role in the prevention and control of infection. HCW perception of hand hygiene's importance depends upon the degree of support from the institution and health authorities. This chapter outlines the complexity of the causative pathways between specific predictors of hand hygiene compliance including the existence of confounding and intercorrelation between the different variables. It describes optimal methods for analyzing epidemiological data in hand hygiene intervention studies to determine which components are optimal targets for future study with the ultimate goal of preventing healthcare‐associated infections (HAIs). One of the barriers to proving causality is the use of data originating from at least two levels of observation without strict direct link between both entities: hand hygiene compliance by HCWs and HAIs at the patients' level.
Details
- Title: Subtitle
- Statistical Issues: How to Overcome the Complexity of Data Analysis in Hand Hygiene Research?
- Creators
- Angèle Gayet‐AgeronEli Perencevich
- Contributors
- Didier Pittet (Editor)John M Boyce (Editor)Benedetta Allegranzi (Editor)
- Resource Type
- Book chapter
- Publication Details
- Hand Hygiene, pp.42-50
- DOI
- 10.1002/9781118846810.ch7
- Publisher
- John Wiley & Sons, Inc; Hoboken, NJ, USA
- Number of pages
- 9
- Language
- English
- Date published
- 05/01/2017
- Academic Unit
- Epidemiology; Internal Medicine
- Record Identifier
- 9984001181602771
Metrics
24 Record Views