Evidence map›Paper›PMID 27747568›Full record

ArticleDrugs - real world outcomes2015

Psychotropic Drug Consumption Among Older People Enrolled in a French Private Health Insurance Plan.

Oren Semoun, Christine Sevilla-Dedieu

Open access · goldAbstract read
In one paragraph

Article in Drugs - real world outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

2 authors at 2 institutions in 2 countries.

Oren SemounMGEN Foundation for Public Health, 3 Square Max Hymans, 75748, Paris Cedex 15, France.
Christine Sevilla-DedieuMGEN Foundation for Public Health, 3 Square Max Hymans, 75748, Paris Cedex 15, France. csevilla@mgen.fr.
Gen Foundation · GBMutuelle Générale de l'Éducation Nationale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn France, little information exists on psychotropic drug consumption in the elderly.

objectiveThis study aimed to describe the patterns of psychotropic drug consumption, including the extent of inappropriate prescribing, in elderly subjects enrolled in a large health insurance plan in France (MGEN).

methodsIn 2011, 5840 MGEN affiliates aged at least 65 years were randomly selected. Reimbursement claims were organized into a 1-year cross-sectional data set. The EphMRA (European Pharmaceutical Market Research Association) classification was used to identify prescriptions of psychotropic drugs, and the Laroche criteria to identify potentially inappropriate medications (PIMs). Treatment duration was estimated using WHO defined daily doses (DDDs). A multivariate analysis was performed to identify factors associated with the prescription of PIMs.

resultsIn 2011, 2213 subjects (37.9 %) made at least one reimbursement claim for a psychotropic drug, with the claims rate increasing with age. The mean annual volume of prescriptions per user was 193 DDDs. General practitioners were found to generate most of these prescriptions (81.8 %). Of these 2213 users, only 137 (6.2 %) had consulted a mental health specialist, and this rate decreased with age. Moreover, 1428 (64.5 %) subjects were prescribed at least one PIM, rising to 1711 (77.3 %) when including concomitant use of psychotropic drugs. Finally, the number of psychotropic drugs prescribed was associated with a higher odds ratio (OR) of PIM prescription.

conclusionsEfforts should be made to reduce psychotropic drug prescriptions in elderly patients. This may contribute to reduce the amount of PIM prescriptions and the occurrence of iatrogenic side effects.

Identifiers

PMID27747568
PMCPMC4883211
OpenAlexW995967191

What OpenQuestion holds

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LicenceCC BY-NC
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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.