Evidence map›Paper›PMID 25912712›Full record

ArticleEuropean journal of clinical pharmacology2015

Characteristics and drug utilization patterns for heavy users of prescription drugs among the elderly: a Danish register-based drug utilization study.

Anita Øymoen, Anton Pottegård, Anna Birna Almarsdóttir

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Article in European journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Examining Healthcare Utilization Patterns of Elderly Middle-Aged Adults in the United States.Proceedings of the ... International Florida AI Research Society Conference. Florida AI Research Symposium · 2016
    Article
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.

Anita ØymoenClinical Pharmacology, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 19, 2, 5000, Odense C, Denmark.
Anton PottegårdClinical Pharmacology, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 19, 2, 5000, Odense C, Denmark.
Anna Birna AlmarsdóttirClinical Pharmacology, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 19, 2, 5000, Odense C, Denmark. abalmars@health.sdu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objectives of this study were to (1) identify and characterize heavy users of prescription drugs among persons aged 60 years and above; (2) investigate the association of demographic, socioeconomic, and health-related variables with being a heavy drug user; and (3) study the most frequently used drugs among heavy drug users and development in use over time.

methodThis is a descriptive study. Heavy drug users were defined as the accumulated top 1 percentile who accounted for the largest share of prescription drug use measured in number of dispensed defined daily doses (DDDs). The nationwide Danish registers were used to obtain data. Multivariable logistic binary regression was used to determine which factors were associated with being a heavy drug user.

resultsHeavy drug users among persons aged 60 years and above accounted for 6.8, 6.0, and 5.5% of prescription drug use in 2002, 2007, and 2012, respectively. Male gender, those aged 60-69 years, being divorced, shorter education, low annual income, and recent hospitalization were all significantly associated with being in the top 1 percentile group of drug users (p < 0.05). The ten most frequently used drug classes among heavy drug users accounted for 75.4% of their use in 2012, and five of these were cardiovascular drugs. The development over time for the ten most used drug classes followed the same pattern among heavy drug users and in the general population.

conclusionThere is a skewed utilization of prescription drugs. Contrary to earlier findings, being male was associated with heavy prescription drug use both with respect to number of drugs used and drug expenditure.

Indexed as

AgedAged, 80 and overAge FactorsDrug PrescriptionsDrug UtilizationFemaleHumansMaleMiddle AgedPrescription DrugsPrescription Drugs

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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.