Ontology highlight
ABSTRACT: Background
Evaluating a patient's medication list is critical to reduce prescribing errors (PEs), but is a labour- and time-intensive process. Identification of patients at risk of PEs could improve the allocation of scarce time and resources, but currently available prediction tools are not effective.Objective
To investigate whether ward doctors can identify patients at risk of PEs.Methods
This prospective matched case-control study was conducted on three clinical wards in an academic hospital. Otolaryngology and oncology ward doctors used clinical intuition to select patients requiring a clinical medication review (CMR) (cases). These patients were then matched 1:1 on age (±10 years) and number (±1) of prescriptions with patients not selected for CMRs on the inter
SUBMITTER: Mahomedradja RF
PROVIDER: S-EPMC11862803 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature