Using a clinical decision support system to determine the quality of antimicrobial dosing in intensive care patients with renal insufficiency
- PMID: 20172878
- DOI: 10.1136/qshc.2007.025700
Using a clinical decision support system to determine the quality of antimicrobial dosing in intensive care patients with renal insufficiency
Abstract
Background: The benefits on clinical practice of a clinical decision support system (CDSS) are predominantly determined by the quality of the clinical rules used in this system. Therefore, it is essential to investigate the performance and potential benefits on quality of care of these rules.
Methods: A clinical rule assisting physicians in selecting the appropriate dosage according to renal function of frequently prescribed antimicrobials was developed. In 2004, 1788 patients admitted to the intensive care unit (ICU) for more than 12 h were included in this retrospective study. The actual number of dosage adjustments without the support of the CDSS was compared with the theoretical number of dosage adjustments determined by the clinical rule in patients with moderate (creatinine clearance (Cl(creat)) 10-50 ml/min) and severe (Cl(creat) <10 ml/min) renal dysfunction. If dosage adjustment was omitted, the duration of excessive anti-infective dosing and extra drug costs involved was determined.
Results: Dosage adjustment of antimicrobials was omitted in 163 patients (86%) with moderate renal failure and 13 patients (54%) with severe renal failure. Excessive exposure was most frequently detected in patients receiving fluconazole and ciprofloxacin (median duration of 6 days). In our ICU alone, more than 16,000 euro ($19 000) can be saved annually by adjusting the dosage according to renal function of frequently prescribed antimicrobials.
Conclusions: Despite intensive monitoring of patients in the ICU, dosage adjustment of antimicrobials is often omitted. Implementing this clinical rule has the potential to contribute to a significant improvement in medication safety and is expected to generate substantial savings.
Similar articles
-
How to optimise antimicrobial prescriptions in the Intensive Care Unit: principles of individualised dosing using pharmacokinetics and pharmacodynamics.Int J Antimicrob Agents. 2012 Mar;39(3):187-92. doi: 10.1016/j.ijantimicag.2011.11.002. Epub 2012 Jan 9. Int J Antimicrob Agents. 2012. PMID: 22226651 Review.
-
Evaluation of the chronic kidney disease epidemiology collaboration equation for dosing antimicrobials.Ann Pharmacother. 2010 Mar;44(3):439-46. doi: 10.1345/aph.1M602. Epub 2010 Feb 17. Ann Pharmacother. 2010. PMID: 20164470
-
Physicians' responses to clinical decision support on an intensive care unit--comparison of four different alerting methods.Artif Intell Med. 2013 Sep;59(1):33-8. doi: 10.1016/j.artmed.2013.05.002. Epub 2013 Jun 6. Artif Intell Med. 2013. PMID: 23746663 Clinical Trial.
-
[Antimicrobial agents and renal elimination: towards individual dosage adjustment?].Rev Med Suisse. 2012 Apr 25;8(338):894-900. Rev Med Suisse. 2012. PMID: 22611626 Review. French.
-
Clinical decision support systems in the pediatric intensive care unit.Pediatr Crit Care Med. 2009 Jan;10(1):23-8. doi: 10.1097/PCC.0b013e3181936b23. Pediatr Crit Care Med. 2009. PMID: 19057443 Review.
Cited by
-
Harnessing the power of clinical decision support systems: challenges and opportunities.Open Heart. 2023 Nov 28;10(2):e002432. doi: 10.1136/openhrt-2023-002432. Open Heart. 2023. PMID: 38016787 Free PMC article. Review.
-
Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects.Med J Islam Repub Iran. 2021 Feb 22;35:27. doi: 10.47176/mjiri.35.27. eCollection 2021. Med J Islam Repub Iran. 2021. PMID: 34169039 Free PMC article. Review.
-
Understanding physicians' behavior toward alerts about nephrotoxic medications in outpatients: a cross-sectional analysis.BMC Nephrol. 2014 Dec 15;15:200. doi: 10.1186/1471-2369-15-200. BMC Nephrol. 2014. PMID: 25511564 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources