Literature DB >> 22681172

Choice of treatment with antidepressants: influencing factors.

Hubertus Himmerich1, Dominika W Wranik.   

Abstract

Depressive disorders place a large burden on patients and on society. Although efficacious treatment options for unipolar depressive disorders exist, substantial gaps in care remain. In part, the challenge lies in the matching of individual patients with appropriate care. This is complicated by the steady increases in the variety of antidepressants available in the market. The goal of this study is to highlight the decision processes in the selection of antidepressants by clinicians, given that most treatments have similar clinical effectiveness profiles. We conducted a systematic literature review of studies that referred to the decisions surrounding treatment with antidepressants for the treatment of non-psychotic unipolar depression. Our analysis of the literature reveals that the choice of treatment is based on a variety of factors, of which clinical evidence is only one. These factors can be categorized into clinical factors such as illness and treatment characteristics, individual factors such as patient and physician characteristics, and contextual factors such as setting characteristics, decision supports and pharmacoeconomic aspects. Illness characteristics are defined by the type and severity of depression. Treatment characteristics include drug properties, efficacy, effectiveness and favorable as well as unintended adverse effects of the drug. Examples for patient characteristics are co-morbidities and individual preferences, and physician characteristics include knowledge, experience, values and beliefs, and the relationship with the patient. Treatment guidelines, algorithms, and most recently, computational supports and biological markers serve as decision supports.

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Year:  2012        PMID: 22681172     DOI: 10.2174/138161212803523653

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  5 in total

1.  Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.

Authors:  Laura de Anta; Miguel Angel Alvarez-Mon; Miguel A Ortega; Cristina Salazar; Carolina Donat-Vargas; Javier Santoma-Vilaclara; Maria Martin-Martinez; Guillermo Lahera; Luis Gutierrez-Rojas; Roberto Rodriguez-Jimenez; Javier Quintero; Melchor Alvarez-Mon
Journal:  J Pers Med       Date:  2022-01-25

2.  [Predictive factors of depression and its therapy].

Authors:  H Himmerich; E Kohls; U Hegerl; C Rummel-Kluge
Journal:  Nervenarzt       Date:  2014-10       Impact factor: 1.214

3.  Impact of antidepressants on cytokine production of depressed patients in vitro.

Authors:  Alexander Munzer; Ulrich Sack; Roland Mergl; Jeremias Schönherr; Charlotte Petersein; Stefanie Bartsch; Kenneth C Kirkby; Katrin Bauer; Hubertus Himmerich
Journal:  Toxins (Basel)       Date:  2013-11-19       Impact factor: 4.546

4.  Brain arousal regulation as response predictor for antidepressant therapy in major depression.

Authors:  Frank M Schmidt; Christian Sander; Marie-Elisa Dietz; Claudia Nowak; Thomas Schröder; Roland Mergl; Peter Schönknecht; Hubertus Himmerich; Ulrich Hegerl
Journal:  Sci Rep       Date:  2017-03-27       Impact factor: 4.379

5.  Economic evaluation of agomelatine relative to other antidepressants for treatment of major depressive disorders in Greece.

Authors:  Nikos Maniadakis; Georgia Kourlaba; Theodoros Mougiakos; Ioannis Chatzimanolis; Linus Jonsson
Journal:  BMC Health Serv Res       Date:  2013-05-10       Impact factor: 2.655

  5 in total

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