Home > Publications Database > 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 > print

001     136962
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024 7 _ |a 10.1007/s00103-013-1767-5
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024 7 _ |a pmid:23712323
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024 7 _ |a 1436-9990
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024 7 _ |a 1437-1588
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037 _ _ |a DZNE-2020-03284
041 _ _ |a German
082 _ _ |a 610
100 1 _ |a Zimmermann, T.
|0 P:(DE-HGF)0
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|e Corresponding author
245 _ _ |a 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
260 _ _ |a Heidelberg
|c 2013
|b Springer
264 _ 1 |3 online
|2 Crossref
|b Springer Science and Business Media LLC
|c 2013-05-29
264 _ 1 |3 print
|2 Crossref
|b Springer Science and Business Media LLC
|c 2013-07-01
336 7 _ |a article
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336 7 _ |a Output Types/Journal article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a 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 % according to the PRISCUS list, which decreased to 25.0 % 4.5 years later (χ(2): 7.87, p = 0.004). The Beers list yielded a prevalence of 21 % at baseline, decreasing after 4.5 years to 17.1 % (χ(2): 10.77, p = 0.000). A time-dependent multilevel model confirmed these results. Older age, depression, and the use of numerous prescribed agents are independent risk factors for using a PRISCUS-PIM.Our results seem to support a trend toward a more rational drug therapy because fewer patients were prescribed PIM. Thus, for the individual patient, the risk of adverse effects and side effects is reduced as are the costs of these effects.
536 _ _ |a 344 - Clinical and Health Care Research (POF3-344)
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536 _ _ |a 345 - Population Studies and Genetics (POF3-345)
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542 _ _ |i 2013-05-29
|2 Crossref
|u http://www.springer.com/tdm
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 2 |a Age Distribution
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Depression: drug therapy
|2 MeSH
650 _ 2 |a Depression: epidemiology
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Germany: epidemiology
|2 MeSH
650 _ 2 |a Health Services for the Aged: statistics & numerical data
|2 MeSH
650 _ 2 |a Health Services for the Aged: trends
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Inappropriate Prescribing: statistics & numerical data
|2 MeSH
650 _ 2 |a Inappropriate Prescribing: trends
|2 MeSH
650 _ 2 |a Longitudinal Studies
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Polypharmacy
|2 MeSH
650 _ 2 |a Primary Health Care: statistics & numerical data
|2 MeSH
650 _ 2 |a Primary Health Care: trends
|2 MeSH
650 _ 2 |a Retrospective Studies
|2 MeSH
650 _ 2 |a Risk Factors
|2 MeSH
650 _ 2 |a Sex Distribution
|2 MeSH
700 1 _ |a Kaduszkiewicz, H.
|b 1
700 1 _ |a van den Bussche, H.
|b 2
700 1 _ |a Schön, G.
|b 3
700 1 _ |a Brettschneider, C.
|b 4
700 1 _ |a König, H-H
|b 5
700 1 _ |a Wiese, B.
|b 6
700 1 _ |a Bickel, H.
|b 7
700 1 _ |a Mösch, E.
|b 8
700 1 _ |a Luppa, M.
|b 9
700 1 _ |a Riedel-Heller, S.
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700 1 _ |a Werle, J.
|b 11
700 1 _ |a Weyerer, S.
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700 1 _ |a Fuchs, A.
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700 1 _ |a Pentzek, M.
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700 1 _ |a Hänisch, B.
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700 1 _ |a Maier, W.
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700 1 _ |a Scherer, M.
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700 1 _ |a Jessen, F.
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700 1 _ |a Group, AgeCoDe-Study
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773 1 8 |a 10.1007/s00103-013-1767-5
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|t Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
|v 56
|y 2013
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773 _ _ |a 10.1007/s00103-013-1767-5
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856 4 _ |u https://pub.dzne.de/record/136962/files/DZNE-2020-03284_Restricted.pdf
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