Iva Selke Krulichová1, Gisbert W Selke2, Petra A Thürmann3,4. 1. Department of Medical Biophysics, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czech Republic. krulich@lfhk.cuni.cz. 2. AOK Research Institute (Wissenschaftliches Institut der AOK), Berlin, Germany. 3. Department of Clinical Pharmacology, University of Witten/Herdecke, Witten, North Rhine-Westphalia, Germany. 4. Philipp-Klee-Institute of Clinical Pharmacology, HELIOS University Clinic Wuppertal, Wuppertal, Germany.
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.
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.
Authors: S Schmiedl; M Rottenkolber; J Szymanski; B Drewelow; W Siegmund; M Hippius; K Farker; I R Guenther; J Hasford; P A Thuermann Journal: Expert Opin Drug Saf Date: 2017-12-19 Impact factor: 4.250
Authors: Sarah Toepfer; Juliane Bolbrinker; Maximilian König; Elisabeth Steinhagen-Thiessen; Reinhold Kreutz; Ilja Demuth Journal: PLoS One Date: 2019-12-30 Impact factor: 3.240