Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-25T19:32:13.022Z Has data issue: false hasContentIssue false

Evidence-Based Infection Control Planning Based on National Healthcare-Associated Infection Prevalence Data

Published online by Cambridge University Press:  02 January 2015

Jacqueline Reilly*
Affiliation:
Health Protection Scotland, Scotland
Sally Stewart
Affiliation:
Health Protection Scotland, Scotland
Gwen Allardice
Affiliation:
Department of Statistics, Strathclyde University, Scotland
Shona Cairns
Affiliation:
Health Protection Scotland, Scotland
Lisa Ritchie
Affiliation:
Glasgow, the Infection Control Team, NHS Dumfries and Galloway, Scotland
Julie Bruce
Affiliation:
Department of Public Health, University of Aberdeen, Aberdeen, Scotland
*
HAI and IC Group, Health Protection Scotland, 1 Cadogan Square, Glasgow, G2 7HF ([email protected])

Abstract

This study identifies factors associated with a high prevalence of healthcare-associated infection (HAI) in the Scottish inpatient population, on the basis of the Scotland National HAI Prevalence Survey data set. The multivariate models developed can be used to predict HAI prevalence in specific patient groups to help with planning and policy in infection control.

Type
Concise Communications
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Strausbaugh, LJ. Emerging healthcare-associated infections in the geriatric population. Emerg Infect Dis 2001;7:268271.CrossRefGoogle ScholarPubMed
2.General Register Office for Scotland. Scotland's Population 2006. Edinburgh, Scotland: General Register Office for Scotland; 2007:194.Google Scholar
3.European Antimicrobial Resistance Surveillance System (EARSS). EARSS Annual Report 2006. In: Team, EM, ed. EARSS Annual Report. Bilthoven, the Netherlands: National Institute for Public Health and the Environment; 2006:1162.Google Scholar
4.Gaynes, RP, Solomon, S. Improving hospital-acquired infection rates: the CDC experience. Jt Comm J Qual Improv 1996;22:457467.Google Scholar
5.Hospitals in Europe Link for Infection Control through Surveillance (HELICS). Prevalence surveys of nosocomial infections. In: Hospitals in Europe Link for Infection Control through Surveillance. HELICS; 2004:128.Google Scholar
6.Reilly, J, Stewart, S, Allardice, G, et al.NHS Scotland National HAI Prevalence Survey: final report 2007. Glasgow, Scotland: Health Protection Scotland; 2007:1239.Google Scholar
7.Schlesselman, J. 8.4-estimation of logistic parameters. In: Case-Control Studies: Design, Conduct, Analysis. Oxford: Oxford University Press; 1982:244250.Google Scholar
8.Gikas, A, Pediaditis, J, Papadakis, JA, et al.Prevalence study of hospital-acquired infections in 14 Greek hospitals: planning from the local to the national surveillance level. J Hosp Infect 2002;50:269275.Google Scholar
9.Pittet, D, Harbarth, S, Ruef, C, et al.Prevalence and risk factors for nosocomial infections in 4 university hospitals in Switzerland. Infect Control Hosp Epidemiol 1999;20:3742.Google Scholar
10.Haley, RW, Hooton, TM, Culver, DH, et al.Nosocomial infections in U.S. hospitals, 1975-1976. Am J Med 1981;70:947959.Google Scholar