Off-label use of prescription drugs in childhood and adolescence: an analysis of prescription patterns in Germany

Dtsch Arztebl Int. 2009 Jan;106(3):25-31. doi: 10.3238/arztebl.2009.0025. Epub 2009 Jan 16.

Abstract

Background: Not all drugs prescribed for children and adolescents are certified for use in these age groups. The present study describes the extent of off-label prescriptions in the outpatient sector and identifies deficits in the quality of product information.

Methods: This analysis is based on patient-specific but pseudonymized drug prescription data for approximately 289,000 0- to 16-year-old members of the Gmünder Ersatzkasse, a German statutory health insurance provider, in the year 2002. For each substance prescribed, information regarding the youngest certified age group was derived from the product data.

Results: Of the 1,429,981 prescribed drug packages (726 active substances), 87.4% (66.1% of active substances) were prescribed in accordance with their license and 3.2% (15.7% of active substances) were prescribed off-label. For 9.4% of prescriptions (18.2% of active substances) the licensing status could not be established. For neonates and infants the proportion of licensed prescriptions was below average, at 42.5% and 82.8% of the prescribed packages (20.0% and 38.6% of active substances) respectively. After infancy, prescriptions were predominantly in accordance with licensed use. Deficits were seen in the indication groups "alimentary tract and metabolism," "respiratory system," "dermatologicals," and "sensory organs."

Conclusions: The methodology enables characterization of off-label prescription and identification of fields where further research is needed. With regard to the EU regulation on medicinal products for pediatric use, this could assume increasing importance and contribute to the development of appropriate and safe medicines for children.

Keywords: child health; drug information; drug prescription; drug safety; off-label treatment.

MeSH terms

  • Child
  • Drug Labeling*
  • Germany
  • Humans
  • Pediatrics / statistics & numerical data*
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prescriptions / statistics & numerical data*
  • Primary Health Care / statistics & numerical data*