Literature DB >> 1679829

Measurement of the costs of hospital infection by prevalence surveys.

G L French1, A F Cheng.   

Abstract

Data from seven single-day prevalence surveys were used to assess the costs of hospital-acquired infection (HAI) by matching infected cases with controls and reviewing patient case notes for details of mortality, length of hospitalization and antibiotic treatment costs. Many cases with a high risk of HAI could not be matched and probably had inevitable infection. Cases that could be matched had the same risks of HAI as the controls, and these infections were potentially avoidable. Compared with controls, infected patients had an excess mortality rate of 7.4%, an average excess hospital stay of 23 days and an average excess antibiotic expenditure of US$190. By extrapolation we calculate that the annual costs of avoidable HAI at Prince of Wales Hospital is now approximately 130 lives, 42 000 bed-days and US$0.3m of antibiotics; costs of a similar magnitude have already been saved by a programme of hospital infection control. We conclude that hospital-acquired infection is very expensive, infection control is highly cost-effective, and prevalence surveys are practical tools for the measurement of rates and costs of hospital infection.

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Year:  1991        PMID: 1679829     DOI: 10.1016/0195-6701(91)90005-s

Source DB:  PubMed          Journal:  J Hosp Infect        ISSN: 0195-6701            Impact factor:   3.926


  5 in total

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2.  Prevalence studies in nosocomial infections.

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Review 3.  Pharmacoeconomics of antibacterial treatment.

Authors:  P G Davey; M M Malek; S E Parker
Journal:  Pharmacoeconomics       Date:  1992-06       Impact factor: 4.981

4.  Nosocomial infection in surgery wards: a controlled study of increased duration of hospital stays and direct cost of hospitalization.

Authors:  A A Vegas; V M Jodra; M L García
Journal:  Eur J Epidemiol       Date:  1993-09       Impact factor: 8.082

5.  Daily antibiotic cost of nosocomial infections in a Turkish university hospital.

Authors:  Dilara Inan; Rabin Saba; Filiz Gunseren; Gozde Ongut; Ozge Turhan; Ata Nevzat Yalcin; Latife Mamikoglu
Journal:  BMC Infect Dis       Date:  2005-01-31       Impact factor: 3.090

  5 in total

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