Evidence map›Paper›PMID 25632295›Full record

ArticleAnnals of general psychiatry2015

How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study.

Alain Mercier, Jacques Benichou, Isabelle Auger-Aubin, Jean-Pierre Lebeau, Estelle Houivet, Paul Van Royen, Lieve Peremans

Open access · goldAbstract read
In one paragraph

Article in Annals of general psychiatry, 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
1.3field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 15 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

7 authors at 5 institutions in 2 countries.

Alain MercierDepartment of General Practice, Rouen University, CIC Inserm 0204, 1 rue de Germont, 76031 Rouen Cedex, France ; Department of General Practice, University Paris 13, Sorbonne Paris Cité, Bobigny, France ; Department of Family practice, Faculty of Medicine, Rouen University, 20 Bd Gambetta, 76000 Rouen, France.
Jacques BenichouDepartment of Biostatistics, Inserm U 657, University of Rouen, Rouen University Hospital, 1 rue de Germont, 76031 Rouen Cedex, France.
Isabelle Auger-AubinDepartment of General Practice, Département de médecine générale, Université Paris Diderot, Sorbonne Paris Cité, Paris, France ; EA Recherche clinique coordonnée ville-hôpital, Méthodologies et Société (REMES), 75010 Paris, France.
Jean-Pierre LebeauDepartment of General Practice, Tours University, 10, Boulevard Tonnellé, B.P. 3223, 37032 Tours Cedex 1, France.
Estelle HouivetDepartment of Biostatistics, Inserm U 657, University of Rouen, Rouen University Hospital, 1 rue de Germont, 76031 Rouen Cedex, France.
Paul Van RoyenDepartment of Primary and Interdisciplinary Care, Faculty of Medicine, Health Science University of Antwerp, Antwerp, Belgium.
Lieve PeremansDepartment of Public Health, Vrije Universiteit Brussel, Brussels, Belgium.
Université de Rouen Normandie · FRSorbonne Paris Cité · FRUniversité de Tours · FRUniversity of Antwerp · BEVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnder-prescription of antidepressants (ADs) among people meeting the criteria for major depressive episodes and excessive prescription in less symptomatic patients have been reported. The reasons influencing general practitioners' (GPs) prescription of ADs remain little explored. This study aimed at assessing the influence of GP and patient characteristics on AD prescription.

methodsThis cross-sectional study was based on a sample of 816 GPs working within the main health care insurance system in the Seine-Maritime district of France during 2010. Only GPs meeting the criteria for full-time GP practice were included. The ratio of AD prescription to overall prescription volume, a relative measure of AD prescription level, was calculated for each GP, using the defined daily dose (DDD) concept. Associations of this AD prescription ratio with GPs' age, gender, practice location, number of years of practice, number of days of sickness certificates prescribed, number of home visits and consultations, number and mean age of registered patients, mean patient income, and number of patients with a chronic condition were assessed using univariate and multivariate analysis.

resultsThe high prescribers were middle-aged (40-59) urban GPs, with a moderate number of consultations and fewer low-income and chronic patients. GPs' workload (e.g., volume of prescribed drug reimbursement and number of consultations) had no influence on the AD prescription ratio. GPs with more patients with risk factors for depression prescribed fewer ADs, however, which could suggest the medications were under-prescribed among the at-risk population.

conclusionsOur study described a profile of the typical higher AD prescriber that did not include heavy workload. In future work, a more detailed assessment of all biopsychosocial components of the consultation and other influences on GP behavior such as prior training would be useful to explain AD prescription in GP's practice.

Indexed as

AntidepressantsCross-sectional studyGeneral practiceGeneral practitionersPharmaco-epidemiology

Identifiers

PMID25632295
PMCPMC4308843
OpenAlexW2141112307

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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.