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Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis

BACKGROUND: GPs frequently prescribe antidepressants in mild depression. The aim of this study was to examine, how often Swiss GPs recommend antidepressants in various clinical presentations of mild depression and which factors contribute to antidepressant treatment recommendations. METHODS: We cond...

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Autores principales: Hengartner, Michael P., Neuner-Jehle, Stefan, Senn, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717647/
https://www.ncbi.nlm.nih.gov/pubmed/34969372
http://dx.doi.org/10.1186/s12875-021-01621-7
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author Hengartner, Michael P.
Neuner-Jehle, Stefan
Senn, Oliver
author_facet Hengartner, Michael P.
Neuner-Jehle, Stefan
Senn, Oliver
author_sort Hengartner, Michael P.
collection PubMed
description BACKGROUND: GPs frequently prescribe antidepressants in mild depression. The aim of this study was to examine, how often Swiss GPs recommend antidepressants in various clinical presentations of mild depression and which factors contribute to antidepressant treatment recommendations. METHODS: We conducted an online survey among Swiss GPs with within-subject effect analysis. Alternating case vignettes described a typical female case of mild depression according to International Classification of Diseases, 10(th) edition criteria, with and without anxiety symptoms and sleep problems. GPs indicated for each vignette their preferred treatments (several recommendations were possible). Additionally, we assessed GP characteristics, attitudes towards depression treatments, and elements of clinical decision-making. RESULTS: Altogether 178 GPs completed the survey. In the initial description of a case with mild depression, 11% (95%-CI: 7%-17%) of GPs recommended antidepressants. If anxiety symptoms were added to the same case, 29% (23%-36%) recommended antidepressants. If sleep problems were mentioned, 47% (40%-55%) recommended antidepressants, and if both sleep problems and anxiety symptoms were mentioned, 63% (56%-70%) recommended antidepressants. Several factors were independently associated with increased odds of recommending antidepressants, specifically more years of practical experience, an advanced training in psychosomatic and psychosocial medicine, self-dispensation, and a higher perceived effectiveness of antidepressants. By contrast, a higher perceived influence of patient characteristics and the use of clinical practice guidelines were associated with reduced odds of recommending antidepressants. CONCLUSIONS: Consistent with depression practice guidelines, Swiss GPs rarely recommended antidepressants in mild depression if no co-indications (i.e., sleep problems and anxiety symptoms) were depicted. However, presence of sleep problems and anxiety symptoms, many years of practical experience, overestimation of antidepressants’ effectiveness, self-dispensation, an advanced training in psychosomatic and psychosocial medicine, and non-use of clinical practice guidelines may independently lead to antidepressant over-prescribing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01621-7.
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spelling pubmed-87176472022-01-05 Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis Hengartner, Michael P. Neuner-Jehle, Stefan Senn, Oliver BMC Fam Pract Research BACKGROUND: GPs frequently prescribe antidepressants in mild depression. The aim of this study was to examine, how often Swiss GPs recommend antidepressants in various clinical presentations of mild depression and which factors contribute to antidepressant treatment recommendations. METHODS: We conducted an online survey among Swiss GPs with within-subject effect analysis. Alternating case vignettes described a typical female case of mild depression according to International Classification of Diseases, 10(th) edition criteria, with and without anxiety symptoms and sleep problems. GPs indicated for each vignette their preferred treatments (several recommendations were possible). Additionally, we assessed GP characteristics, attitudes towards depression treatments, and elements of clinical decision-making. RESULTS: Altogether 178 GPs completed the survey. In the initial description of a case with mild depression, 11% (95%-CI: 7%-17%) of GPs recommended antidepressants. If anxiety symptoms were added to the same case, 29% (23%-36%) recommended antidepressants. If sleep problems were mentioned, 47% (40%-55%) recommended antidepressants, and if both sleep problems and anxiety symptoms were mentioned, 63% (56%-70%) recommended antidepressants. Several factors were independently associated with increased odds of recommending antidepressants, specifically more years of practical experience, an advanced training in psychosomatic and psychosocial medicine, self-dispensation, and a higher perceived effectiveness of antidepressants. By contrast, a higher perceived influence of patient characteristics and the use of clinical practice guidelines were associated with reduced odds of recommending antidepressants. CONCLUSIONS: Consistent with depression practice guidelines, Swiss GPs rarely recommended antidepressants in mild depression if no co-indications (i.e., sleep problems and anxiety symptoms) were depicted. However, presence of sleep problems and anxiety symptoms, many years of practical experience, overestimation of antidepressants’ effectiveness, self-dispensation, an advanced training in psychosomatic and psychosocial medicine, and non-use of clinical practice guidelines may independently lead to antidepressant over-prescribing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01621-7. BioMed Central 2021-12-30 /pmc/articles/PMC8717647/ /pubmed/34969372 http://dx.doi.org/10.1186/s12875-021-01621-7 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hengartner, Michael P.
Neuner-Jehle, Stefan
Senn, Oliver
Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
title Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
title_full Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
title_fullStr Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
title_full_unstemmed Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
title_short Swiss GPs’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
title_sort swiss gps’ preferences for antidepressant treatment in mild depression: vignette-based quantitative analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717647/
https://www.ncbi.nlm.nih.gov/pubmed/34969372
http://dx.doi.org/10.1186/s12875-021-01621-7
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