Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ YUHSpace (Yonsei Uni...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Journal of Clinical Psychopharmacology
Article . 2014 . Peer-reviewed
Data sources: Crossref
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Pattern of Pharmacotherapy by Episode Types for Patients With Bipolar Disorders and Its Concordance With Treatment Guidelines

Authors: Ji Hyun, Baek; Kyooseob, Ha; Lakshimi N, Yatham; Jae Seung, Chang; Tae Hyon, Ha; Hong Jin, Jeon; Kyung Sue, Hong; +10 Authors

Pattern of Pharmacotherapy by Episode Types for Patients With Bipolar Disorders and Its Concordance With Treatment Guidelines

Abstract

This study aimed to investigate the overall prescription pattern for patients with bipolar disorders in Korea and its relevance to the practice guidelines. Prescription records from all patients with bipolar I and II disorders who have been admitted or who started the outpatient treatment during the year of 2009 in 10 academic setting hospitals were reviewed. A total of 1447 patients with bipolar I and II disorders were included in this study. Longitudinal prescription patterns of inpatients and outpatients were analyzed by episode types and compared with the clinical practice guideline algorithms. In all phases, polypharmacy was chosen as an initial treatment strategy (>80%). The combination of mood stabilizer and atypical antipsychotics was the most favored. Antipsychotics were prescribed in more than 80% of subjects across all phases. The rate of antidepressant use ranged from 15% to 40%, and it was more frequently used in acute treatment and bipolar II subjects. The concordance rate of prescriptions for manic inpatients to the guidelines was higher and relatively more consistent (43.8%-48.7%) compared with that for depressive inpatients (18.6%-46.9%). Polypharmacy was the most common reason for nonconcordance. In Korean psychiatric academic setting, polypharmacy and atypical antipsychotics were prominently favored in the treatment of bipolar disorder, even with the lack of evidence of its superiority. More evidence is needed to establish suitable treatment strategies. In particular, the treatment strategy for acute bipolar depression awaits more consensuses.

Keywords

Adult, Male, Bipolar Disorder, 610, Practice Guidelines as Topic*, Practice Patterns, prescription pattern, Bipolar Disorder/drug therapy*, Antidepressive Agents/therapeutic use, pharmacotherapy, Drug Therapy, 616, Republic of Korea, Humans, Practice Patterns, Physicians', Antidepressive Agents, Physicians'/statistics & numerical data*, bipolar disorders, Practice Guidelines as Topic, Drug Therapy, Combination, Female, Republic of Korea/epidemiology, Guideline Adherence, guideline, Antipsychotic Agents/therapeutic use, Guideline Adherence*, Combination/statistics & numerical data*, Antipsychotic Agents

  • BIP!
    Impact byBIP!
    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).
    24
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
24
Top 10%
Top 10%
Top 10%
Green