Home Care Patient's Experiences and Medication Burden Related to High-Risk Medication Use: A Cross-Sectional Study.

Background: Age, polypharmacy and comorbidity are examples of known factors that increase the risk of adverse drug reactions in patients. The use of high-risk medication also entails a heightened risk of harm. There is currently no information available on the home care patients' experiences and medication burden experienced due to their high-risk medication use and how they manage their medication.

A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study.

Background: Many patients do not receive a comprehensive medication reconciliation, mostly owing to limited resources. We hence need an approach to identify those patients at the emergency department (ED) who are at increased risk for clinically relevant discrepancies.

Objective: The aim of our study was to develop and externally validate a prediction model to identify patients at risk for at least 1 clinically relevant medication discrepancy upon ED presentation.

The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis.

Fixed and broad screening intervals for drug-drug interaction (DDI) alerts lead to false positive alerts, thereby contributing to alert fatigue among healthcare professionals. Hence, we aimed to investigate the impact of customized screening intervals on the daily incidence of DDI alerts. An interrupted time series analysis was performed at the University Hospitals Leuven to evaluate the impact of a pragmatic intervention on the daily incidence of DDI alerts per 100 prescriptions.

Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward.

Background: Bedside clinical pharmacy prevents drug-related problems, but is not feasible in many countries due to limited resources. Hence, clinical rules using structural information in the electronic health record can help identifying potentially inappropriate prescriptions (PIPs). We aimed to develop and implement a risk-based clinical pharmacy service and evaluate its impact on prescribing at the trauma surgery ward.

Home care nurses' management of high-risk medications: a cross-sectional study.

Background: High-risk medications use at home entails an increased risk of significant harm to the patient. While interventions and strategies to improve medications care have been implemented in hospitals, it remains unclear how this type of medications care is provided in the home care setting. The objective was to describe home care nurses' management of high-risk medications.