- Poster presentation
- Open Access
Using the theory of planned behavior to identify predictors of handwashing among Iranian healthcare workers
© Askarian et al; licensee BioMed Central Ltd. 2011
- Published: 29 June 2011
- Logistic Regression Analysis
- Public Hospital
- Healthcare Worker
- Hand Hygiene
- Multiple Logistic Regression Analysis
The incidence of healthcare associated infections in a surgical ward in Shiraz has beenÂ established as 18%Â with associated costs of approx US150,000. Healthcare workers (HCWs) had acceptable levels of knowledge and attitude about hand hygiene but poor self-reported practices. We used the Theory of Planned Behavior (TPB) to identify predictors of handwashing to underpin a theory-driven intervention.
Between April and September 2008, 1700 healthcare workers (HCWs) from all wards in 18 private and 10 public hospitals in Shiraz answered a self-administered survey designed in accordance with the TPB. Multiple logistic regression analysis was used to model two handwashing for patient contacts perceived to be clean and contacts perceived to contaminate hands.
90% of HCWs returned a completed survey. SignificantÂ predictors for clean contact handwashing in the hospital included compliance withÂ similar community practice (AOR2.1, P<0.000) and contaminated contact handwashingÂ (AOR1.6, P<0.000), perception that clean contact handwashingÂ required little effort (AOR1.1, P=0.039) and nursing peer pressure (AOR 1.1, P=0.025). SignificantÂ predictors for contaminated contact handwashing included clean contact handwashing compliance (AOR2.5, P<0.000), community contaminated contact handwashing (AOR1.5 P=0.001), peer pressure from ICPs (AOR1.4, P=0.001) and attitudes about contaminated contact handwashingÂ (AOR1.1, P=0.001).
Community-based handwashing practices exert strong influence on handwashing in the hospital. Given the interdependence between community and hospital handwashing a campaign to improve aware about the benefit of community handwashing may improve HCWs’ compliance.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.