Pediatric antidepressant medication errors in a national error reporting database

Michael L Rinke1, David G Bundy, Andrew D Shore

  • 1Department of Pediatrics, Johns Hopkins University, Baltimore, MD 21287, USA.

Insights

Pediatric antidepressant medication errors frequently reach patients, often involving off-label use. Harmful errors were linked to administration issues and inpatient settings, highlighting the need for targeted error reduction strategies.

Area of Science:

  • Pediatric pharmacology
  • Medication safety
  • Health outcomes research

Background:

  • Medication errors in pediatric populations pose significant risks.
  • Antidepressant use in children and adolescents requires careful monitoring.
  • Understanding error patterns is crucial for improving patient safety.

Purpose of the Study:

  • To characterize the nature and frequency of antidepressant medication errors in pediatric patients.
  • To identify common causes and contributing factors in these errors.
  • To compare error types between inpatient and outpatient settings.

Main Methods:

  • Analysis of United States Pharmacopeia MEDMARX database error reports.
  • Inclusion of reports involving antidepressant medications and patients under 18 years old.
  • Data collected from 2003 to 2006.

Main Results:

  • Of 451 identified errors, 95% reached the patient; 6.4% caused increased monitoring/treatment needs.
  • Off-label use was involved in 77% of errors.
  • Administering (33%), dispensing (30%), and transcribing (28%) were primary error causes. Sertraline, bupropion, fluoxetine, and trazodone were most common.
  • Harmful errors were associated with administration, inpatient settings, and extra doses.
  • Outpatient errors more frequently involved dispensing and transcription issues.

Conclusions:

  • Pediatric antidepressant errors are common, often reach patients, and frequently involve off-label prescribing.
  • Error characteristics vary by medication and care setting (inpatient vs. outpatient).
  • Enhanced education, prompt error disclosure, and targeted reduction strategies are essential.
Abstract

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