Evidence map›Paper›PMID 30747477›Full record

ArticlePharmacoepidemiology and drug safety2019

Anticholinergic and sedative medication use in older community-dwelling people: A national population study in the Netherlands.

Helene G van der Meer, Katja Taxis, Martina Teichert, Fabiënne Griens, Lisa G Pont, Hans Wouters

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Observational
  7. Article
  8. Using pharmacy dispensing data to predict falls in older individuals.British journal of clinical pharmacology · 2021
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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

6 authors.

Helene G van der MeerPharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands.ORCID 0000-0002-3329-3271
Katja TaxisPharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands.
Martina TeichertDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Centre, Leiden, the Netherlands.
Fabiënne GriensFoundation for Pharmaceutical Statistics, The Hague, the Netherlands.
Lisa G PontDiscipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Ultimo, Australia.
Hans WoutersPharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the proportion of older adults with a high anticholinergic/sedative load and to identify patient subgroups based on type of central nervous system (CNS)-active medication used.

methodsA cross-sectional study of a nationwide sample of patients with anticholinergic/sedative medications dispensed by 1779 community pharmacies in the Netherlands (90% of all community pharmacies) in November 2016 was conducted. Patients aged older than 65 years with a high anticholinergic/sedative load defined as having a drug burden index (DBI) greater than 1 were included. Proportion of patients with a high anticholinergic/sedative load was calculated by dividing the number of individuals in our study population by the 2.4 million older patients using medications dispensed from study pharmacies. Patient subgroups based on type of CNS-active medications used were identified with latent class analysis.

resultsOverall, 8.7% (209 472 individuals) of older adults using medications had a DBI greater than 1. Latent class analysis identified four patient subgroups (classes) based on the following types of CNS-active medications used: "combined psycholeptic/psychoanaleptic medication" (class 1, 57.9%), "analgesics" (class 2, 17.9%), "antiepileptic medication" (class 3, 17.8%), and "anti-Parkinson medication" (class 4, 6.3%).

conclusionsA large proportion of older adults in the Netherlands had a high anticholinergic/sedative load. Four distinct subgroups using specific CNS-active medication were identified. Interventions aiming at reducing the overall anticholinergic/sedative load should be tailored to these subgroups.

Indexed as

Health Services for the AgedIndependent LivingPolypharmacyAgedAged, 80 and overCholinergic AntagonistsCross-Sectional StudiesFemaleHumansHypnotics and SedativesMaleNetherlandsPharmaceutical ServicesPharmacoepidemiologyCholinergic AntagonistsHypnotics and Sedativesageddrug burden indexdrug utilisation researchhypnotics and sedativeslatent class analysismuscarinic antagonistspharmacoepidemiology

Identifiers

PMID30747477
PMCPMC6593836

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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.