Literature DB >> 23831104

Validity of a clinical decision rule-based alert system for drug dose adjustment in patients with renal failure intended to improve pharmacists' analysis of medication orders in hospitals.

A Boussadi1, T Caruba2, A Karras3, S Berdot4, P Degoulet5, P Durieux5, B Sabatier6.   

Abstract

OBJECTIVE: The main objective of this study was to assess the diagnostic performances of an alert system integrated into the CPOE/EMR system for renally cleared drug dosing control. The generated alerts were compared with the daily routine practice of pharmacists as part of the analysis of medication orders.
MATERIALS AND METHODS: The pharmacists performed their analysis of medication orders as usual and were not aware of the alert system interventions that were not displayed for the purpose of the study neither to the physician nor to the pharmacist but kept with associate recommendations in a log file. A senior pharmacist analyzed the results of medication order analysis with and without the alert system. The unit of analysis was the drug prescription line. The primary study endpoints were the detection of drug dose prescription errors and inter-rater reliability (Kappa coefficient) between the alert system and the pharmacists in the detection of drug dose error.
RESULTS: The alert system fired alerts in 8.41% (421/5006) of cases: 5.65% (283/5006) "exceeds max daily dose" alerts and 2.76% (138/5006) "under-dose" alerts. The alert system and the pharmacists showed a relatively poor concordance: 0.106 (CI 95% [0.068-0.144]). According to the senior pharmacist review, the alert system fired more appropriate alerts than pharmacists, and made fewer errors than pharmacists in analyzing drug dose prescriptions: 143 for the alert system and 261 for the pharmacists. Unlike the alert system, most diagnostic errors made by the pharmacists were 'false negatives'. The pharmacists were not able to analyze a significant number (2097; 25.42%) of drug prescription lines because understaffing.
CONCLUSION: This study strongly suggests that an alert system would be complementary to the pharmacists' activity and contribute to drug prescription safety.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Computer-assisted; Decision support techniques; Drug dosage calculations; Drug prescriptions; Medication errors/prevention & control; Pharmaceutical preparations/administration & dosage; Software validation

Mesh:

Year:  2013        PMID: 23831104     DOI: 10.1016/j.ijmedinf.2013.06.006

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  6 in total

Review 1.  Complex Drug-Drug-Gene-Disease Interactions Involving Cytochromes P450: Systematic Review of Published Case Reports and Clinical Perspectives.

Authors:  Flavia Storelli; Caroline Samer; Jean-Luc Reny; Jules Desmeules; Youssef Daali
Journal:  Clin Pharmacokinet       Date:  2018-10       Impact factor: 6.447

2.  Renal Drug Dosing. Effectiveness of Outpatient Pharmacist-Based vs. Prescriber-Based Clinical Decision Support Systems.

Authors:  Erin A Vogel; Sarah J Billups; Sheryl J Herner; Thomas Delate
Journal:  Appl Clin Inform       Date:  2016-07-27       Impact factor: 2.342

3.  Improvement of drug prescribing in acute kidney injury with a nephrotoxic drug alert system.

Authors:  Paloma Arias Pou; Irene Aquerreta Gonzalez; Antonio Idoate García; Nuria Garcia-Fernandez
Journal:  Eur J Hosp Pharm       Date:  2017-09-14

Review 4.  A Narrative Review of Clinical Decision Support for Inpatient Clinical Pharmacists.

Authors:  Liang Yan; Thomas Reese; Scott D Nelson
Journal:  Appl Clin Inform       Date:  2021-03-17       Impact factor: 2.342

Review 5.  Systematic Review of Medical Informatics-Supported Medication Decision Making.

Authors:  Brittany L Melton
Journal:  Biomed Inform Insights       Date:  2017-03-30

6.  Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction.

Authors:  Benjamin Skov Kaas-Hansen; Cristina Leal Rodríguez; Davide Placido; Hans-Christian Thorsen-Meyer; Anna Pors Nielsen; Nicolas Dérian; Søren Brunak; Stig Ejdrup Andersen
Journal:  Clin Epidemiol       Date:  2022-02-22       Impact factor: 4.790

  6 in total

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