Literature DB >> 25033275

Factors predicting adherence to antidepressant treatment.

Ching-I Hung1.   

Abstract

PURPOSE OF REVIEW: Poor adherence and discontinuation of treatment are the major challenges of pharmacotherapy among patients with depression. This article reviews the factors predicting adherence to and persistence of antidepressant treatment identified in recent years. RECENT
FINDINGS: Study populations have been extended to subgroups of patients with depression or depressive patients with comorbid medical conditions. Some studies have investigated the issues by analysing medical claims databases. Socio-demographic variables, clinical features of depression, comorbidities, pharmacological factors, attitudes towards antidepressants, previous experiences of antidepressant treatment, patient-professional relationship and genes were found to be common factors. An older age, positive attitudes to antidepressants and previous experiences and vicarious experiences of depression or treatment were found to be factors predicting better adherence or persistence. Conversely, patients in minority groups, those with a low family income, pregnancy, experience of side effects, dissatisfaction with treatment and a poor patient-professional relationship were found to be associated with poorer adherence or persistence.
SUMMARY: The factors predicting adherence and persistence are complex and interactive. Different methods of studies have limitations in terms of exploring all these factors. Future studies should integrate these factors simultaneously and explore specific factors predicting adherence and persistence among subgroups of patients with depression.

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Year:  2014        PMID: 25033275     DOI: 10.1097/YCO.0000000000000086

Source DB:  PubMed          Journal:  Curr Opin Psychiatry        ISSN: 0951-7367            Impact factor:   4.741


  19 in total

1.  Adherence to generic v. brand antidepressant treatment and the key role of health system factors.

Authors:  C Barbui; V Conti
Journal:  Epidemiol Psychiatr Sci       Date:  2014-12-18       Impact factor: 6.892

2.  Adherence to antidepressants among women and men described with trajectory models: a Swedish longitudinal study.

Authors:  Ann-Charlotte Mårdby; Linus Schiöler; Karolina Andersson Sundell; Pernilla Bjerkeli; Eva Lesén; Anna K Jönsson
Journal:  Eur J Clin Pharmacol       Date:  2016-08-03       Impact factor: 2.953

3.  Large posttraumatic stress disorder improvement and antidepressant medication adherence.

Authors:  Joanne Salas; Jeffrey F Scherrer; Peter Tuerk; Carissa van den Berk-Clark; Kathleen M Chard; F David Schneider; Paula P Schnurr; Matthew J Friedman; Sonya B Norman; Beth E Cohen; Patrick Lustman
Journal:  J Affect Disord       Date:  2019-08-31       Impact factor: 4.839

4.  Clinical characteristics associated with therapeutic nonadherence of the patients with major depressive disorder: A report on the National Survey on Symptomatology of Depression in China.

Authors:  Qian Zhou; Zhi-Guo Wu; Yun Wang; Xiao-Hua Liu; Jun Chen; Yong Wang; You-Song Su; Chen Zhang; Dai-Hui Peng; Wu Hong; Yi-Ru Fang
Journal:  CNS Neurosci Ther       Date:  2018-07-11       Impact factor: 5.243

5.  The impacts of migraine and anxiety disorders on painful physical symptoms among patients with major depressive disorder.

Authors:  Ching-I Hung; Chia-Yih Liu; Ching-Yen Chen; Ching-Hui Yang; Shuu-Jiun Wang
Journal:  J Headache Pain       Date:  2014-11-10       Impact factor: 7.277

6.  Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study.

Authors:  Syed Rahman; Michael Wiberg; Kristina Alexanderson; Jussi Jokinen; Antti Tanskanen; Ellenor Mittendorfer-Rutz
Journal:  BMC Psychiatry       Date:  2018-02-13       Impact factor: 3.630

7.  Human factors evaluation of a novel digital medicine system in psychiatry.

Authors:  Timothy Peters-Strickland; Ainslie Hatch; Anke Adenwala; Katie Atkinson; Benjamin Bartfeld
Journal:  Neuropsychiatr Dis Treat       Date:  2018-02-16       Impact factor: 2.570

Review 8.  Addressing the Side Effects of Contemporary Antidepressant Drugs: A Comprehensive Review.

Authors:  Sheng-Min Wang; Changsu Han; Won-Myoung Bahk; Soo-Jung Lee; Ashwin A Patkar; Prakash S Masand; Chi-Un Pae
Journal:  Chonnam Med J       Date:  2018-05-25

9.  Untreated duration predicted the severity of depression at the two-year follow-up point.

Authors:  Ching-I Hung; Chia-Yih Liu; Ching-Hui Yang
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

10.  Association between CYP2D6 Genotypes and the Risk of Antidepressant Discontinuation, Dosage Modification and the Occurrence of Maternal Depression during Pregnancy.

Authors:  Anick Bérard; Andrea Gaedigk; Odile Sheehy; Christina Chambers; Mark Roth; Pina Bozzo; Diana Johnson; Kelly Kao; Sharon Lavigne; Lori Wolfe; Dee Quinn; Kristen Dieter; Jin-Ping Zhao
Journal:  Front Pharmacol       Date:  2017-07-17       Impact factor: 5.810

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