Background: Patients at high risk of medication errors will potentially benefit most from medication reviews. An algorithm, MERIS, can identify the patients who are at highest risk of medication errors. The aim of this study was to examine the effects of performing stratified medication reviews on patients who according to MERIS were at highest risk of medication errors.
View Article and Find Full Text PDFBackground Prescribing errors in emergency settings occur frequently. Knowing which patients have the highest risk of errors could improve patient outcomes. Objective The aim of this study was to test an algorithm designed to assess prescribing error risk in individual patients, and to test the feasibility of medication reviews in high-risk patients.
View Article and Find Full Text PDFIntroduction: A risk stratification approach is needed to identify patients at high risk of medication errors and a resulting high need of medication review. The aim of this study was to perform risk stratification (distinguishing between low-risk, medium-risk and high-risk drugs) for drugs found to cause serious adverse reactions due to medication errors. The study employed a modified Delphi technique.
View Article and Find Full Text PDFObjective: We investigated the health-related effect of systematic medication review performed by a clinical pharmacist and a clinical pharmacologist on nonelective elderly orthopedic patients.
Methods: This is a nonblinded randomized controlled study of 108 patients 65 years or older treated with at least 4 drugs. For the intervention, the clinical pharmacist reviewed the participants' medication after completion of the usual medication routine.
Basic Clin Pharmacol Toxicol
December 2013
Medication reviews have the potential to lower the incidence of prescribing errors. To benefit from a medication review, the prescriber must adhere to medication counselling. Adherence rates vary from 39 to 100%.
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