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

BACKGROUND: Under-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 st...

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Autores principales: Mercier, Alain, Benichou, Jacques, Auger-Aubin, Isabelle, Lebeau, Jean-Pierre, Houivet, Estelle, Van Royen, Paul, Peremans, Lieve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308843/
https://www.ncbi.nlm.nih.gov/pubmed/25632295
http://dx.doi.org/10.1186/s12991-015-0041-7
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author Mercier, Alain
Benichou, Jacques
Auger-Aubin, Isabelle
Lebeau, Jean-Pierre
Houivet, Estelle
Van Royen, Paul
Peremans, Lieve
author_facet Mercier, Alain
Benichou, Jacques
Auger-Aubin, Isabelle
Lebeau, Jean-Pierre
Houivet, Estelle
Van Royen, Paul
Peremans, Lieve
author_sort Mercier, Alain
collection PubMed
description BACKGROUND: Under-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. METHODS: This 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. RESULTS: The 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. CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12991-015-0041-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-43088432015-01-29 How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study Mercier, Alain Benichou, Jacques Auger-Aubin, Isabelle Lebeau, Jean-Pierre Houivet, Estelle Van Royen, Paul Peremans, Lieve Ann Gen Psychiatry Primary Research BACKGROUND: Under-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. METHODS: This 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. RESULTS: The 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. CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12991-015-0041-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-22 /pmc/articles/PMC4308843/ /pubmed/25632295 http://dx.doi.org/10.1186/s12991-015-0041-7 Text en © Mercier et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Primary Research
Mercier, Alain
Benichou, Jacques
Auger-Aubin, Isabelle
Lebeau, Jean-Pierre
Houivet, Estelle
Van Royen, Paul
Peremans, Lieve
How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
title How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
title_full How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
title_fullStr How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
title_full_unstemmed How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
title_short How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
title_sort how do gp practices and patient characteristics influence the prescription of antidepressants? a cross-sectional study
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308843/
https://www.ncbi.nlm.nih.gov/pubmed/25632295
http://dx.doi.org/10.1186/s12991-015-0041-7
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