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High-risk medicines associated with clinically relevant medication-related problems in UK hospitals: A prospective observational study.

Cathy GeesonLi WeiBryony Dean Franklin
Published in: British journal of clinical pharmacology (2019)
The aim of this prospective observational study was to establish associations between the use of high-risk medicine groups and the study outcome: occurrence of at least 1 moderate or severe preventable medication-related problem. Data on medication-related problems, high-risk medicines, and other potential risk factors were collected from adults on medical wards in 2 UK hospitals. Logistic regression modelling was used to determine relationships between high-risk medicines and the study outcome. Among 1503 eligible admissions, 6 high-risk medicine groups were associated with the study outcome on univariable analysis; multivariable analysis found only systemic antimicrobials and epilepsy medicines to be independently associated with the outcome (adjusted odds ratio 1.44, 95% confidence interval 1.08-1.92 and adjusted odds ratio 1.61, 95% confidence interval 1.16-2.25 respectively). Identification of high-risk medicine groups has potential to permit targeting of patients at highest risk of avoidable medication-related harm, but multivariable analysis suggests risk is likely to be multifactorial.
Keyphrases
  • healthcare
  • risk factors
  • mental health
  • climate change
  • artificial intelligence
  • cancer therapy
  • human health
  • deep learning