Identification of primary care patients at risk of nonadherence to antidepressant treatment

Ann-Charlotte Åkerblad1, Finn Bengtsson2, Margareta Holgersson3, Lars von Knorring1, Lisa Ekselius11Department of Neuroscience, Psychiatry, Uppsala University Hospital, Uppsala University, Uppsala, Sweden; 2Division of Clinical Pharmacology, Medicine and Care, Faculty of Health Science...

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Main Authors: Ann-Charlotte Åkerblad, Finn Bengtsson, Margareta Holgersson, Lars von Knorring, Lisa Ekselius
Format: Article
Language:English
Published: Dove Medical Press 2009-01-01
Series:Patient Preference and Adherence
Online Access:http://www.dovepress.com/identification-of-primary-care-patients-at-risk-of-nonadherence-to-ant-a2767
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spelling doaj-8e8e0cf6fd6e4e45beb3b451ac8af9d82020-11-24T23:24:34ZengDove Medical PressPatient Preference and Adherence1177-889X2009-01-012008default379386Identification of primary care patients at risk of nonadherence to antidepressant treatmentAnn-Charlotte ÅkerbladFinn BengtssonMargareta HolgerssonLars von KnorringLisa EkseliusAnn-Charlotte Åkerblad1, Finn Bengtsson2, Margareta Holgersson3, Lars von Knorring1, Lisa Ekselius11Department of Neuroscience, Psychiatry, Uppsala University Hospital, Uppsala University, Uppsala, Sweden; 2Division of Clinical Pharmacology, Medicine and Care, Faculty of Health Sciences, Linköping University, Linköping, Sweden; 3Quintiles AB, Uppsala, SwedenIntroduction: Poor adherence to antidepressant treatment is common, and results in increased disability and costs. Several factors are thought to influence patients’ ability and willingness to adhere. So far, however, consensus is lacking regarding patient characteristics that predict nonadherence. The purpose of this study was to identify predictors of nonadherence to antidepressant treatment that can be ascertained at treatment start.Method: The present study used data from a randomized controlled trial with the main objective of studying the effect of two different compliance-enhancing programs on treatment adherence and treatment response in 1031 primary care patients with major depression. In this study, logistic regression analyses were performed to examine patient- and illness-related characteristics potentially associated with nonadherence.Results: Nonadherence to antidepressant treatment was predicted by age under 35 or over 64 years, presence of personality disorder, sensation-seeking personality traits, substance abuse, and absence of concomitant medications.Conclusion: Certain patient- and illness-related characteristics may imply an increased risk of nonadherence to antidepressant treatment. Giving special attention to subjects with such characteristics may improve adherence.Keywords: unipolar depression, antidepressant, adherence, compliance, SSRI, predictors http://www.dovepress.com/identification-of-primary-care-patients-at-risk-of-nonadherence-to-ant-a2767
collection DOAJ
language English
format Article
sources DOAJ
author Ann-Charlotte Åkerblad
Finn Bengtsson
Margareta Holgersson
Lars von Knorring
Lisa Ekselius
spellingShingle Ann-Charlotte Åkerblad
Finn Bengtsson
Margareta Holgersson
Lars von Knorring
Lisa Ekselius
Identification of primary care patients at risk of nonadherence to antidepressant treatment
Patient Preference and Adherence
author_facet Ann-Charlotte Åkerblad
Finn Bengtsson
Margareta Holgersson
Lars von Knorring
Lisa Ekselius
author_sort Ann-Charlotte Åkerblad
title Identification of primary care patients at risk of nonadherence to antidepressant treatment
title_short Identification of primary care patients at risk of nonadherence to antidepressant treatment
title_full Identification of primary care patients at risk of nonadherence to antidepressant treatment
title_fullStr Identification of primary care patients at risk of nonadherence to antidepressant treatment
title_full_unstemmed Identification of primary care patients at risk of nonadherence to antidepressant treatment
title_sort identification of primary care patients at risk of nonadherence to antidepressant treatment
publisher Dove Medical Press
series Patient Preference and Adherence
issn 1177-889X
publishDate 2009-01-01
description Ann-Charlotte Åkerblad1, Finn Bengtsson2, Margareta Holgersson3, Lars von Knorring1, Lisa Ekselius11Department of Neuroscience, Psychiatry, Uppsala University Hospital, Uppsala University, Uppsala, Sweden; 2Division of Clinical Pharmacology, Medicine and Care, Faculty of Health Sciences, Linköping University, Linköping, Sweden; 3Quintiles AB, Uppsala, SwedenIntroduction: Poor adherence to antidepressant treatment is common, and results in increased disability and costs. Several factors are thought to influence patients’ ability and willingness to adhere. So far, however, consensus is lacking regarding patient characteristics that predict nonadherence. The purpose of this study was to identify predictors of nonadherence to antidepressant treatment that can be ascertained at treatment start.Method: The present study used data from a randomized controlled trial with the main objective of studying the effect of two different compliance-enhancing programs on treatment adherence and treatment response in 1031 primary care patients with major depression. In this study, logistic regression analyses were performed to examine patient- and illness-related characteristics potentially associated with nonadherence.Results: Nonadherence to antidepressant treatment was predicted by age under 35 or over 64 years, presence of personality disorder, sensation-seeking personality traits, substance abuse, and absence of concomitant medications.Conclusion: Certain patient- and illness-related characteristics may imply an increased risk of nonadherence to antidepressant treatment. Giving special attention to subjects with such characteristics may improve adherence.Keywords: unipolar depression, antidepressant, adherence, compliance, SSRI, predictors
url http://www.dovepress.com/identification-of-primary-care-patients-at-risk-of-nonadherence-to-ant-a2767
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