Evidence map›Paper›PMID 33938975›Full record

Observational studyEuropean journal of clinical pharmacology2021

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

Iva Selke Krulichová, Gisbert W Selke, Petra A Thürmann

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of clinical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Iva Selke KrulichováDepartment of Medical Biophysics, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czech Republic. krulich@lfhk.cuni.cz.ORCID http://orcid.org/0000-0002-6815-0780
Gisbert W SelkeAOK Research Institute (Wissenschaftliches Institut der AOK), Berlin, Germany.ORCID http://orcid.org/0000-0002-9614-9875
Petra A ThürmannDepartment of Clinical Pharmacology, University of Witten/Herdecke, Witten, North Rhine-Westphalia, Germany.
Charles University · CZWissenschaftliches Institut der AOK · DEWitten/Herdecke University · DE

Funding

Univerzita Karlova v Praze PROGRES Q40-09
6 · The paper itself

Abstract

purposeThe 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.

methodsWe 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.

resultsEU(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.

conclusionAlthough 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.

Indexed as

AgedAged, 80 and overAge FactorsCross-Sectional StudiesFemaleGermanyHumansInsurance Claim ReviewMalePolypharmacyPotentially Inappropriate Medication ListResidence CharacteristicsRetrospective StudiesSex FactorsClaims dataElderlyEU(7)-PIM listPotentially inappropriate medicationPRISCUS list

Identifiers

PMID33938975
OpenAlexW3159684910

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.