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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Affective...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Affective Disorders
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Dropout rate and associated factors in patients with bipolar disorders

Authors: Eunsoo, Moon; Jae Seung, Chang; Mi Young, Kim; Myung Hwa, Seo; Boseok, Cha; Tae Hyon, Ha; Sungwon, Choi; +3 Authors

Dropout rate and associated factors in patients with bipolar disorders

Abstract

Effective, long-term therapy for bipolar disorders is a critical goal of mental health care, but achieving this goal is complicated by numerous factors in real clinical settings. The aim of this study was to investigate dropout patterns and their associated factors in patients with bipolar disorders.The study participants were 275 patients with DSM-IV bipolar disorders, receiving planned maintenance treatment among patients at the Mood Disorders Clinic of Seoul National University Bundang Hospital between January 2005 and December 2007. The rates of dropout in patients were prospectively examined for 3 years. The factors affecting the dropouts were analyzed using a Cox regression model.The dropout rates were 10.9%, 20.4%, 24.7%, 33.8%, 44.0%, and 50.2% at 1, 3, 6, 12, 24, and 36 months after treatment entry, respectively. The dropout rates increased rapidly during the first three months and slowed after 12 months. Past psychotic symptoms (HR 0.523, 95% CI 0.339-0.807), longer illness duration (HR 0.975, 95% CI 0.955-0.966), past psychiatric diagnoses (bipolar disorder, HR 0.242, 95% CI 0.120-0.490; other axis I disorders 0.434, 95% CI 0.268-0.701), and a past history of dropouts (HR 1.746, 95% CI 1.028-2.965) significantly influenced the time to dropout in bipolar patients. The main reasons for dropout were 'denial of therapeutic need' (34.8%) and 'lack of treatment efficacy' (23.2%). Dropout from the maintenance phase of treatment was mainly attributed to the patients' poor understanding of the effects of their treatment.A high early dropout rate for subjects with bipolar disorders was observed in this study, suggesting an increased risk for insufficient maintenance treatment. These results may support the role of psychoeducational approaches in enhancing adherence to treatment, as well as social approaches to improving public awareness. Following the early evaluation of a patient's concept of bipolar disorders, individualized psychoeducational strategies are necessary to improve the long-term outcomes for subjects with bipolar disorders.

Keywords

Adult, Male, Bipolar Disorder, Patient Dropouts, Middle Aged, Health Services Accessibility, Republic of Korea, Humans, Female, Attitude to Health, Proportional Hazards Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
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