title: Prescription quality in an acute medical ward.
abstract: OBJECTIVE
  Prescribing is an effective and economical means of delivering health care. The aim of this study is to assess the quality of prescriptions in an Acute Medical Assessment Unit (AMAU) at Aberdeen Royal Infirmary (ARI).
  
  
  METHODS
  Prescription data were collected from all available medication charts of patients admitted to the ward over a 2-week period. Prescription quality indicators were divided into two categories: prescription chart related (e.g. complete patient information and absence of drug-drug interactions (DDIs)) and medication related (e.g. legibility of handwriting, generic prescribing and adherence to hospital's formulary).
  
  
  RESULTS
  Patient identifiers were omitted in 4% (n = 8) of the medication charts included in assessing prescribing quality. Patient allergies were omitted in 36% (n = 76) of charts. At least one DDI was detected in 26% (n = 55) of the charts. The mean number of medications prescribed per patient was seven (95%CI, 6.53-7.65). The median number of medication-related prescribing errors per medication chart was two (interquartile range (IQR), 1-3). The distribution of these errors was significantly higher in charts with five or more medications (p < 0.001).
  
  
  CONCLUSIONS
  This study demonstrates a relatively acceptable level of prescription quality compared to the published literature. However, the number of DDIs and level of allergy documentation are of concern emphasising the need for continued education in this field.
authors: Aberdeen Royal Infirmary, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK. n.alyamani@abdn.ac.uk
authors: Nayef A
authors: NA
authors: Alyamani
authors: Yvonne
authors: Y
authors: Hopf
authors: David J
authors: DJ
authors: Williams
mesh_terms: D000368:Aged; D004347:Drug Interactions; D011307:Drug Prescriptions / Q000592:standards* / Q000706:statistics & numerical data; D005260:Female; D006757:Hospital Units; D006784:Hospitals, Teaching; D006801:Humans; D008297:Male; D016347:Medical Records Systems, Computerized; D008508:Medication Errors / Q000706:statistics & numerical data; D008875:Middle Aged; D010818:Practice Patterns, Physicians'; D011787:Quality of Health Care