title: A model for influences on reliable and valid health care-associated infection data.
abstract: Reliable surveillance data and continuous monitoring can provide useful information for clinicians and patients alike, by identifying areas needing improvement and demonstrating the effectiveness of interventions. Improving the rigor of health care-associated infection surveillance makes it possible to provide more valid and reliable information. We propose a model that can be used by infection control preventionists, researchers, and health planners and can serve as a trigger for understanding the influences on reliable and valid health care-associated infection data.
authors.affiliation: Faculty of Nursing and Health, Avondale College, Wahroonga, NSW, Australia; School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Canberra, ACT, Australia. Electronic address: brett.mitchell@avondale.edu.au.
authors.forename: Brett G
authors.initials: BG
authors.lastname: Mitchell
authors.affiliation: School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Canberra, ACT, Australia; National Centre for Clinical Outcomes Research, Australian Catholic University, Sydney, NSW, Australia.
authors.forename: Anne
authors.initials: A
authors.lastname: Gardner
mesh_terms: D003428:Cross Infection / Q000453:epidemiology* / Q000517:prevention & control*; D003625:Data Collection / Q000379:methods*; D062665:Epidemiological Monitoring; D006268:Health Facilities; D006801:Humans; D017053:Infection Control / Q000379:methods*
keywords: Framework; Infection control; Patient safety; Performance; Surveillance