Evidence map›Paper›PMID 32168740›Full record

ArticlePharmacy (Basel, Switzerland)2020

The Cost of Potentially Inappropriate Medications in Nursing Homes in West Occitanie.

Marie Caucat, Alice Zacarin, Vanessa Rousseau, Jean-Louis Montastruc, Haleh Bagheri

Open access · goldAbstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2020. 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
0.8field-weighted citation impact, top 30% 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, 10 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Marie CaucatDepartment of Medical and Clinical Pharmacology, Centre for PharmacoVigilance, PharmacoEpidemiology and Information on Medications, Faculty of Medicine, INSERM UMR 1027, University Hospital and Faculty of Medicine, Toulouse, France.
Alice ZacarinDepartment of Medical and Clinical Pharmacology, Centre for PharmacoVigilance, PharmacoEpidemiology and Information on Medications, Faculty of Medicine, INSERM UMR 1027, University Hospital and Faculty of Medicine, Toulouse, France.
Vanessa RousseauDepartment of Medical and Clinical Pharmacology, Centre for PharmacoVigilance, PharmacoEpidemiology and Information on Medications, Faculty of Medicine, INSERM UMR 1027, University Hospital and Faculty of Medicine, Toulouse, France.
Jean-Louis MontastrucDepartment of Medical and Clinical Pharmacology, Centre for PharmacoVigilance, PharmacoEpidemiology and Information on Medications, Faculty of Medicine, INSERM UMR 1027, University Hospital and Faculty of Medicine, Toulouse, France.
Haleh BagheriDepartment of Medical and Clinical Pharmacology, Centre for PharmacoVigilance, PharmacoEpidemiology and Information on Medications, Faculty of Medicine, INSERM UMR 1027, University Hospital and Faculty of Medicine, Toulouse, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs of 2019, people older than 65 years represent 20% of the French population. Despite several guidelines suggesting to avoid potentially inappropriate medication (PIM) use in elderly, the prevalence of their prescription remains high (25%). Furthermore, PIM could lead to preventable adverse drug reactions (ADRs). The main objective of this study was to determine the direct cost of PIM in older persons living in residential care homes for the elderly (nursing homes). A secondary objective was to assess the potential impact of PIM deprescribing on drug-related health care costs.

Indexed as

deprescribingnursing homespotentially inappropriate medication

Identifiers

PMID32168740
PMCPMC7151696
OpenAlexW3011324153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.