Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines
- 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.
- All Author(s)
- H. R. Wang
; W. M. Bahk
; J. S. Seo
; Y. S. Woo
; Y. M. Park
; J. H. Jeong
; W. Kim
; S. H. Shim
; J. G. Lee
; D. I. Jon
; K. J. Min
- Issued Date
- 2017
- Type
- Article
- Keyword
- Depressive disorder; Expert consensus; Guideline; Kmap-dd 2017; Therapy
- Publisher
- 대한정신약물학회
- ISSN
- 1738-1088
; 2093-4327
- Citation Title
- Clinical Psychopharmacology and Neuroscience
- Citation Volume
- 15
- Citation Number
- 3
- Citation Start Page
- 199
- Citation End Page
- 209
- Language(ISO)
- eng
- DOI
- 10.9758/cpn.2017.15.3.199
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/1827
- 공개 및 라이선스
-
- 파일 목록
-
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.