ArticleInternational journal of clinical pharmacy2016
Risk of prescribing errors in acutely admitted patients: a pilot study.
Article in International journal of clinical pharmacy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Prediction tools to prioritise hospitalised adult patients at risk of drug related problems: An umbrella review.PLOS digital health · 2026Article
- Enhancing patient stratification methods for medication review during acute admissions.British journal of clinical pharmacology · 2025Article
- Development and validation of a risk prediction model for medication administration errors among neonates in the neonatal intensive care unit: a study protocol.BMJ paediatrics open · 2023Article
- The effect of an inpatient geriatric stewardship on drug-related problems reported by patients after discharge.International journal of clinical pharmacy · 2021Article
- Screening Tools Used by Clinical Pharmacists to Identify Elderly Patients at Risk of Drug-Related Problems on Hospital Admission: A Systematic Review.Pharmacy (Basel, Switzerland) · 2020Review
- Effects of stratified medication review in high-risk patients at admission to hospital: a randomised controlled trial.Therapeutic advances in drug safety · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background 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. Setting The study was performed at the Acute Admissions Unit at Aarhus University Hospital, Denmark. Methods The study was an interventional pilot study. Patients included were assessed according to risk of prescribing errors with the aid of an algorithm called 'Medication Risk Score' (MERIS). Based on the score, high-risk patients were offered a medication review. The clinical relevance of the medication reviews was assessed retrospectively. Main outcome measure The number and nature of prescribing errors during the patients' hospitalisation. Results The study included 103 patients, all of whom could be risk assessed with the algorithm MERIS. MERIS stratified 38 patients as high-risk patients and 65 as low-risk patients. The 103 patients were prescribed a total of 848 drugs in which 88 prescribing errors were found (10.4 %). Sixty-two of these were found in patients in the high-risk group. In general, the medication reviews were found to be clinically relevant and approximately 50 % of recommendations were implemented. Conclusion MERIS was found to be applicable in a clinical setting and stratified most patients with prescribing errors into the high-risk group. The medication reviews were feasible and found to be clinically relevant by most raters.
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