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Cited 6 time in webofscience Cited 7 time in scopus
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Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelinesopen access

Authors
Wang, Hee RyungBahk, Won-MyongSeo, Jeang SeokWoo, Young SupPark, Young -MinJeong, Jong-HyunKim, WonShim, Se-HoonLee, Jung GooJon, Duk-InMin, Kyung Joon
Issue Date
Aug-2017
Publisher
KOREAN COLL NEUROPSYCHOPHARMACOLOGY
Keywords
Depressive disorder; Expert consensus; Guideline; KMAP DD 2017; Therapy
Citation
CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE, v.15, no.3, pp 199 - 209
Pages
11
Journal Title
CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE
Volume
15
Number
3
Start Page
199
End Page
209
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4149
DOI
10.9758/cpn.2017.15.3.199
ISSN
1738-1088
2093-4327
Abstract
In this review, we compared recommendations from the Korean Medication Algorithm Project for Depressive Disorder 2017 (KMAP DD 2017) to other global treatment guidelines for depression. Six global treatment guidelines were reviewed; among the six, 4 were evidence based guidelines, 1 was an expert consensus based guideline, and 1 was an amalgamation of both evidence and expert consensus based recommendations. The recommendations in the KMAP DD 2017 were generally similar to those in other global treatment guidelines, although there were some differences between the guidelines. The KMAP DD 2017 appeared to reflect current changes in the psychopharmacology of depression quite well, like other recently published evidence based guidelines. As an expert consensus based guideline, the KMAP DD 2017 had some limitations. However, considering there are situations in which clinical evidence cannot be drawn from planned clinical trials, the KMAP DD 2017 may be,helpful for Korean psychiatrists making decisions in the clinical settings by complementing previously published evidence based guidelines.
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Min, Kyung Joon
의과대학 (의학부(임상-서울))
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