ArticleBioMed research international2014
Implementation of a computerized decision support system to improve the appropriateness of antibiotic therapy using local microbiologic data.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Linking antimicrobial resistance surveillance to antibiotic policy in healthcare settings: the COMBACTE-Magnet EPI-Net COACH project.The Journal of antimicrobial chemotherapy · 2020Pooled it
- The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review.PloS one · 2017Pooled it
- Carbapenem-Resistant Gram-Negative Bacteria in Hospitalized Patients: A Five-Year Surveillance in Italy.Infectious disease reports · 2025Article
- Effectiveness of Electronic Guidelines (GERHAntibiotics (Basel, Switzerland) · 2020Article
- Clinical Decision Support Systems and Their Role in Antibiotic Stewardship: a Systematic Review.Current infectious disease reports · 2019Article
- Patient and physician predictors of patient receipt of therapies recommended by a computerized decision support system when initially prescribed broad-spectrum antibiotics: a cohort study.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Interleukin-6 Kinetics can be Useful for Early Treatment Monitoring of Severe Bacterial Sepsis and Septic Shock.Infectious disease reports · 2016Article
- Combining expert knowledge and knowledge automatically acquired from electronic data sources for continued ontology evaluation and improvement.Journal of biomedical informatics · 2015Article
- Computerized Clinical Decision Support: Contributions from 2014.Yearbook of medical informatics · 2015Review
- Antimicrobial stewardship and antibiograms: importance of moving beyond traditional antibiograms.Therapeutic advances in infectious diseaseReview
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A prospective quasi-experimental study was undertaken in 218 patients with suspicion of nosocomial infection hospitalized in a polyvalent ICU where a new electronic device (GERB) has been designed for antibiotic prescriptions. Two GERB-based applications were developed to provide local resistance maps (LRMs) and preliminary microbiological reports with therapeutic recommendation (PMRTRs). Both applications used the data in the Laboratory Information System of the Microbiology Department to report on the optimal empiric therapeutic option, based on the most likely susceptibility profile of the microorganisms potentially responsible for infection in patients and taking into account the local epidemiology of the hospital department/unit. LRMs were used for antibiotic prescription in 20.2% of the patients and PMRTRs in 78.2%, and active antibiotics against the finally identified bacteria were prescribed in 80.0% of the former group and 82.4% of the latter. When neither LMRs nor PMRTRs were considered for empiric treatment prescription, only around 40% of the antibiotics prescribed were active. Hence, the percentage appropriateness of the empiric antibiotic treatments was significantly higher when LRM or PMRTR guidelines were followed rather than other criteria. LRMs and PMRTRs applications are dynamic, highly accessible, and readily interpreted instruments that contribute to the appropriateness of empiric antibiotic treatments.
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