Analysis of medication prescribing errors in critically ill children

Eur J Pediatr. 2015 Oct;174(10):1347-55. doi: 10.1007/s00431-015-2542-4. Epub 2015 Apr 22.

Abstract

Medication prescribing errors (MPE) can result in serious consequences for patients. In order to reduce errors, we need to know more about the frequency, the type and the severity of such errors. We therefore performed a prospective observational study to determine the number and type of medication prescribing errors in critically ill children in a paediatric intensive care unit (PICU). Prescribing errors were prospectively identified by a clinical pharmacist. A total of 1129 medication orders were analysed. There were 151 prescribing errors, giving an overall error rate of 14 % (95 % CI 11 to 16). The medication groups with the highest proportion of MPEs were antihypertensives, antimycotics and drugs for nasal preparation with error rates of each 50 %, followed by antiasthmatic drugs (25 %), antibiotics (15 %) and analgesics (14 %). One hundred four errors (70 %) were classified as MPEs which required interventions and/or resulted in patient harm equivalent to 9 % of all medication orders (95 % CI 6.5 to 14.4). Forty-five MPEs (30 %) did not result in patient harm.

Conclusion: With a view to reduce MPEs and to improve patient safety, our data may help to prevent errors before they occur.

What is known: • Prescribing errors may be the most frequent medication errors. • In paediatric populations, the incidence of prescribing errors is higher than in adults. What is New: • Several risk factors for medication prescribing errors, such as medication groups, long PICU stay, and mechanical ventilation could be presented. • Analysing the combination of the most frequent prescribing errors and the severity of these errors.

Keywords: Children; Classification; Clinical pharmacist; Error rates; Intensive care; Prescribing error.

Publication types

  • Observational Study

MeSH terms

  • Adolescent
  • Child
  • Child, Preschool
  • Critical Illness / therapy*
  • Drug Prescriptions / statistics & numerical data*
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Intensive Care Units, Pediatric*
  • Male
  • Medication Errors / classification
  • Medication Errors / prevention & control
  • Medication Errors / statistics & numerical data*
  • Patient Safety*
  • Prospective Studies