Trends and patterns in EU(7)-PIM prescribing to elderly patients in Germany

Eur J Clin Pharmacol. 2021 Oct;77(10):1553-1561. doi: 10.1007/s00228-021-03148-3. Epub 2021 May 3.

Abstract

Purpose: The aim of this study was to explore patterns and long-term development in prescribing potentially inappropriate medication (PIM) according to the EU(7)-PIM list to elderly patients in Germany.

Methods: We analysed anonymized German claims data. The study population comprised 6.0 million insured individuals at least 65 years old, including all their prescriptions reimbursed in 2019. For the analysis of long-term development, we used data for the years 2009-2019. Factors associated with PIM prescribing were considered from two perspectives: patient-oriented analysis was performed with logistic regression and prescriber-oriented analysis was performed with multiple linear regression.

Results: EU(7)-PIM prevalence was reduced from 56.9% in 2009 to 45.1% in 2019. Average annual volume (DDDs/insured) decreased from 145 in 2009 to 121 in 2019. These figures are substantially greater than those for the older PRISCUS list. The majority of investigated ATC level 2 groups with the highest EU(7)-PIM DDD volume exhibited substantial decreases; moderate increases were found for antihypertensive and urological drugs. Antithrombotics increased strongly with the introduction of direct oral anticoagulants. The most prevalent EU(7)-PIM medication was diclofenac; however, in the age group 85+ years, apixaban was twice as prevalent as diclofenac. Polypharmacy, female sex, age < 90 years, need for nursing care and living in Eastern regions were identified as risk factors. Prescriber specialty was the most marked factor in the prescriber-oriented analysis.

Conclusion: Although the use of EU(7)-PIMs has been declining, regional differences indicate considerable room for improvement. The comparison with PRISCUS highlights the necessity of regular updates of PIM lists.

Keywords: Claims data; EU(7)-PIM list; Elderly; PRISCUS list; Potentially inappropriate medication.

Publication types

  • Observational Study

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Germany / epidemiology
  • Humans
  • Insurance Claim Review / statistics & numerical data
  • Polypharmacy
  • Potentially Inappropriate Medication List / statistics & numerical data*
  • Potentially Inappropriate Medication List / trends*
  • Residence Characteristics
  • Retrospective Studies
  • Sex Factors