Literature DB >> 9023647

Optimising antimicrobial drug use in surgery: an intervention study in a Dutch university hospital.

I C Gyssens1, I E Geerligs, J M Dony, J A van der Vliet, A van Kampen, P J van den Broek, Y A Hekster, J W van der Meer.   

Abstract

Following a one-month prospective study of antimicrobial drug use in surgical departments, new guidelines were implemented. The review was repeated after two years. In both study periods, one third of patients were prescribed antimicrobial drugs. Prophylactic antibiotic consumption decreased from 0.75 to 0.53 defined daily doses/operation. Compliance with guidelines improved from 32% to 79%. Duration of prophylaxis > 24 h decreased from 21% to 8%. Single dose prophylaxis increased from 34% to 80%. Quality of the prophylactic courses improved, as evaluated by experts using established criteria. For prophylaxis, cost savings amounted to 57%. Better quality of therapeutic courses was associated with a cost increase of 15%. Indicators of satisfactory outcome with the new policy were a stable median length of stay (5.5 days in the first review and 5.0 days after intervention) and a reduction in the number of nosocomial infections treated with antimicrobial drugs/100 bed days (1.0 before intervention vs 0.77 after intervention).

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Year:  1996        PMID: 9023647     DOI: 10.1093/jac/38.6.1001

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  11 in total

Review 1.  Preventing postoperative infections: current treatment recommendations.

Authors:  I C Gyssens
Journal:  Drugs       Date:  1999-02       Impact factor: 9.546

2.  The identification of barriers preventing the successful implementation of a surgical prophylaxis protocol.

Authors:  Kathryn M Burnett; Michael G Scott; Patricia M Kearney; W George Humphreys; Robert M McMillen
Journal:  Pharm World Sci       Date:  2002-10

3.  Audit of quality of perioperative antimicrobial prophylaxis.

Authors:  Salih Hosoglu; Selda Aslan; Serife Akalin; Vuslat Bosnak
Journal:  Pharm World Sci       Date:  2008-11-26

4.  Implementation of an educational program and an antibiotic order form to optimize quality of antimicrobial drug use in a department of internal medicine.

Authors:  I C Gyssens; W L Blok; P J van den Broek; Y A Hekster; J W van der Meer
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1997-12       Impact factor: 3.267

5.  The anaesthetist as determinant factor of quality of surgical antimicrobial prophylaxis. A survey in a university hospital.

Authors:  I C Gyssens; J T Knape; G Van Hal; J W ver der Meer
Journal:  Pharm World Sci       Date:  1997-04

6.  Strategies to enhance rational use of antibiotics in hospital: a guideline by the German Society for Infectious Diseases.

Authors:  K de With; F Allerberger; S Amann; P Apfalter; H-R Brodt; T Eckmanns; M Fellhauer; H K Geiss; O Janata; R Krause; S Lemmen; E Meyer; H Mittermayer; U Porsche; E Presterl; S Reuter; B Sinha; R Strauß; A Wechsler-Fördös; C Wenisch; W V Kern
Journal:  Infection       Date:  2016-06       Impact factor: 3.553

7.  Application of the ATC/DDD methodology to monitor antibiotic drug use.

Authors:  S Natsch; Y A Hekster; R de Jong; E R Heerdink; R M Herings; J W van der Meer
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1998-01       Impact factor: 3.267

8.  Use of a preprinted sticker to improve the prescribing of prophylactic antibiotics for hip fracture surgery.

Authors:  S Ritchie; N Scanlon; M Lewis; P N Black
Journal:  Qual Saf Health Care       Date:  2004-10

9.  Impact of a multidisciplinary approach on antibiotic consumption, cost and microbial resistance in a Czech hospital.

Authors:  Rene Mach; Jiri Vlcek; Miroslava Prusova; Petr Batka; Vladan Rysavy; Ales Kubena
Journal:  Pharm World Sci       Date:  2007-07-04

10.  Adherence to guidelines of antibiotic prophylactic use in surgery: a prospective cohort study in North West Bank, Palestine.

Authors:  Samar M J Musmar; Hiba Ba'ba; Ala' Owais
Journal:  BMC Surg       Date:  2014-09-09       Impact factor: 2.102

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