%0 Journal Article
%A Zimmermann, T.
%A Kaduszkiewicz, H.
%A van den Bussche, H.
%A Schön, G.
%A Brettschneider, C.
%A König, H-H
%A Wiese, B.
%A Bickel, H.
%A Mösch, E.
%A Luppa, M.
%A Riedel-Heller, S.
%A Werle, J.
%A Weyerer, S.
%A Fuchs, A.
%A Pentzek, M.
%A Hänisch, B.
%A Maier, W.
%A Scherer, M.
%A Jessen, F.
%A Group, AgeCoDe-Study
%T Potenziell inadäquate Medikamente bei älteren hausärztlich versorgten Patientinnen und Patienten : Eine retrospektive Längsschnittanalyse  -  Potentially inappropriate medication in elderly primary care patients : A retrospective, longitudinal analysis
%J Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
%V 56
%N 7
%@ 1436-9990
%C Heidelberg
%I Springer
%M DZNE-2020-03284
%P 941-949
%D 2013
%X Elderly people are often burdened by several diseases. This accounts for a higher medication intake and increases the risk of adverse drug events. To minimize this risk, several lists (Beers, PRISCUS) have been published of drugs that elderly patients should not take. We present a longitudinal analysis of the use of potentially inappropriate medication (PIM) over a period 4.5 years in a cohort of patients aged 75 years or more.Data were collected from the prospective, multicenter, observational study 'German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe),' initially enrolling 3,327 patients. We investigated the prevalence of PIM by checking medications during visits to patients' homes. Furthermore, we analyzed the use of individual PIM agents over time.At baseline, we found a PIM prevalence of 29 
%K Age Distribution
%K Aged
%K Aged, 80 and over
%K Depression: drug therapy
%K Depression: epidemiology
%K Female
%K Germany: epidemiology
%K Health Services for the Aged: statistics & numerical data
%K Health Services for the Aged: trends
%K Humans
%K Inappropriate Prescribing: statistics & numerical data
%K Inappropriate Prescribing: trends
%K Longitudinal Studies
%K Male
%K Polypharmacy
%K Primary Health Care: statistics & numerical data
%K Primary Health Care: trends
%K Retrospective Studies
%K Risk Factors
%K Sex Distribution
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:23712323
%R 10.1007/s00103-013-1767-5
%U https://pub.dzne.de/record/136962