Prescribing of potentially inappropriate medications for the elderly: an analysis based on the PRISCUS list

Dtsch Arztebl Int. 2012 Feb;109(5):69-75. doi: 10.3238/arztebl.2012.0069. Epub 2012 Feb 3.

Abstract

Background: The PRISCUS list of potentially inappropriate medications (PIM) for the elderly was published in 2010 and is the first systematically constructed list of this type in Germany. The aim of the present study is to estimate the baseline prevalence of the prescribing of PIM, as defined by the PRISCUS list.

Methods: Pseudonymized claims data from three statutory health insurances in Germany, which together covered more than 8 million insurants, for the year 2007 were used to determine the age- and sex-standardized one-year period prevalence of PIM among the elderly, as well as the frequency of PIM prescribing per person. The study population included all insurants who were at least 65 years old and were continuously insured throughout the year 2007 or died during that year.

Results: Of the 804 400 elderly persons in the study population, 201 472 (25.0%) received at least one PIM prescription in 2007. The PIM prevalence was higher in women than in men (32.0% vs. 23.3%) and increased with age. The most commonly prescribed PIM were amitriptyline (2.6%), acetyldigoxin (2.4%), tetrazepam (2.0%), and oxazepam (2.0%). 8.8% of all elderly persons received the same PIM drug four or more times in 2007.

Conclusion: These data show that PIM were frequently prescribed to elderly persons in Germany before the PRISCUS list was published. Medications on the PRISCUS list are not necessarily absolutely contraindicated, and this study contained no information about the individual risk/benefit analyses that may have been carried out before these drugs were prescribed; thus, no conclusion can be drawn about the prevalence of inappropriate prescribing. Further research is needed to validate the PRISCUS list, which was generated by expert consensus, as a basis for therapeutic guidelines in geriatric medicine.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Female
  • Germany / epidemiology
  • Health Services for the Aged / statistics & numerical data*
  • Humans
  • Inappropriate Prescribing / statistics & numerical data*
  • Insurance, Health, Reimbursement / statistics & numerical data*
  • Male
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prescription Drugs / therapeutic use*
  • Prevalence
  • Registries / statistics & numerical data*
  • Risk Assessment
  • Risk Factors
  • Sex Distribution

Substances

  • Prescription Drugs