Literature DB >> 31349285

Improving Antimicrobial Prescriptions with Computerized Decision Support Systems: Where Are We?

Tahani Nageeti1, Raghad Al-Harbi1, Khalid Al-Malki1, Omnia Natto1, Abdulla Binhamdan1, Hanan Aldosari1, Bakheet Aldosari1,2,3, Fares Alshammari4, Abdullah Alanazi1,2,3.   

Abstract

Antimicrobial computerized decision support systems (CDSS) have been developed to improve decision-making at the point of prescribing. Uptake of CDSS for antibiotic prescribing remains low, and evidence to suggest that CDSS provides a clear benefit for antimicrobial outcomes is scarce. We reviewed existing evidence on the impact of CDSS on antimicrobial prescribing. Based on the results of our literature search, we discuss the use of CDSS for antimicrobial management in hospitals and antibiotic prescribing practices in ambulatory primary care settings. We identify some of the issues surrounding selecting and defining appropriate outcome measures for assessing the impact of CDSS on antimicrobial prescribing in the hospital setting. In the primary care setting, we observed that CDSS has a modest impact in changing antibiotic prescribing practice, which could be related to the underutilization of antimicrobial CDSS.

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Keywords:  Antibiotic; antimicrobial; computerized decision support system

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Year:  2019        PMID: 31349285     DOI: 10.3233/SHTI190036

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Impact of interactive computerised decision support for hospital antibiotic use (COMPASS): an open-label, cluster-randomised trial in three Swiss hospitals.

Authors:  Gaud Catho; Julien Sauser; Valentina Coray; Serge Da Silva; Luigia Elzi; Stephan Harbarth; Laurent Kaiser; Christophe Marti; Rodolphe Meyer; Francesco Pagnamenta; Javier Portela; Virginie Prendki; Alice Ranzani; Nicolò Saverio Centemero; Jerome Stirnemann; Roberta Valotti; Nathalie Vernaz; Brigitte Waldispuehl Suter; Enos Bernasconi; Benedikt D Huttner
Journal:  Lancet Infect Dis       Date:  2022-07-20       Impact factor: 71.421

  1 in total

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