Evidence map›Paper›PMID 31964342›Full record

ArticleBMC geriatrics2020

Self-reported medication in community-dwelling older adults in Germany: results from the Berlin Initiative Study.

Nina Mielke, Dörte Huscher, Antonios Douros, Natalie Ebert, Jens Gaedeke, Markus van der Giet, Martin K Kuhlmann, Peter Martus, Elke Schaeffner

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 30 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

9 authors at 5 institutions in 2 countries.

Nina MielkeInstitute of Public Health, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany. nina.mielke@charite.de.ORCID 0000-0002-8951-9823
Dörte HuscherInstitute of Public Health, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Antonios DourosInstitute of Clinical Pharmacology and Toxicology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Natalie EbertInstitute of Public Health, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Jens GaedekeDepartement of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Markus van der GietDepartement of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Martin K KuhlmannDepartment of Nephrology, Vivantes Klinikum im Friedrichshain, Berlin, Germany.
Peter MartusInstitute of Clinical Epidemiology and Medical Biostatistics, Eberhard Karls-University, Tübingen, Germany.
Elke SchaeffnerInstitute of Public Health, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEJewish General Hospital · CAKlinikum im Friedrichshain · DEUniversity of Tübingen · DEZimmer Biomet (Germany) · DE

Funding

DDnÄ - Institut für Disease Management e.V. not applicableKuratorium für Dialyse und Nierentransplantation not applicable
6 · The paper itself

Abstract

backgroundOlder adults have the highest drug utilization due to multimorbidity. Although the number of people over age 70 is expected to double within the next decades, population-based data on their medication patterns are scarce especially in combination with polypharmacy and potentially inappropriate medication (PIM). Our objective was to analyse the frequency of polypharmacy, pattern of prescription (PD) and over-the-counter (OTC) drug usage, and PIMs according to age and gender in a population-based cohort of very old adults in Germany.

methodsCross-sectional baseline data of the Berlin Initiative Study, a prospective cohort study of community-dwelling adults aged ≥70 years with a standardized interview including demographics, lifestyle variables, co-morbidities, and medication assessment were analysed. Medication data were coded using the Anatomical Therapeutic Chemical (ATC) classification. Age- and sex-standardized descriptive analysis of polypharmacy (≥5 drugs, PD and OTC vs. PD only and regular and on demand drugs vs regular only), medication frequency and distribution, including PIMs, was performed by age (</≥80) and gender.

resultsOf 2069 participants with an average age of 79.5 years, 97% (95%CI [96%;98%]) took at least one drug and on average 6.2 drugs (SD = 3.5) with about 40 to 66% fulfilling the criteria of polypharmacy depending on the definition. Regarding drug type more female participants took a combination of PD and OTC (male: 68%, 95%CI [65%;72%]); female: 78%, 95%CI [76%;80%]). Most frequently used were drugs for cardiovascular diseases (85%, 95%CI [83%;86%]). Medication frequency increased among participants aged ≥80 years, especially for cardiovascular drugs, antithrombotics, psychoanaleptics and dietary supplements. Among the top ten prescription drugs were mainly cardiovascular drugs including lipid-lowering agents (simvastatin), beta-blockers (metoprolol, bisoprolol) and ACE inhibitors (ramipril). The most common OTC drug was acetylsalicylic acid (35%; 95%CI [33%;37%])). Dose-independent PIM were identified for 15% of the participants.

conclusionsPolypharmacy was excessive in older adults, with not only PD but also OTC drugs contributing to the high point prevalence. The medication patterns reflected the treatment of chronic diseases in this age group. There was even an increase in medication frequency between below and above 80 years especially for drugs of cardiovascular diseases, antithrombotic medication, psychoanaleptics, and dietary supplements.

Indexed as

Independent LivingPolypharmacyPotentially Inappropriate Medication ListSelf ReportAgedBerlinCross-Sectional StudiesFemaleGermanyHumansInappropriate PrescribingMaleProspective StudiesEpidemiologyMedicationOlder adultsOver-the-counter drugsPolypharmacyPotentially inappropriate medicationPrescription drugs

Identifiers

PMID31964342
PMCPMC6974973
OpenAlexW3010712810

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.