Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines.
- Author:
Hee Ryung WANG
1
;
Won Myong BAHK
;
Young Min PARK
;
Hwang Bin LEE
;
Hoo Rim SONG
;
Jong Hyun JEONG
;
Jeong Seok SEO
;
Eun Sung LIM
;
Jeong Wan HONG
;
Won KIM
;
Duk In JON
;
Jin Pyo HONG
;
Young Sup WOO
;
Kyung Joon MIN
Author Information
1. Department of Psychiatry, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. wmbahk@catholic.ac.kr
- Publication Type:Review
- Keywords:
Depressive disorder;
Pharmacotherapy;
Algorithm;
Treatment guideline;
KMAP-DD 2012
- MeSH:
Depression;
Depressive Disorder*;
Drug Therapy;
Prescriptions
- From:Psychiatry Investigation
2014;11(1):1-11
- CountryRepublic of Korea
- Language:English
-
Abstract:
We aimed to compare the recommendations of the Korean Medication Algorithm Project for Depressive Disorder 2012 (KMAP-DD 2012) with other recently published treatment guidelines for depressive disorder. We reviewed a total of five recently published global treatment guidelines and compared each treatment recommendation of the KMAP-DD 2012 with those in other guidelines. For initial treatment recommendations, there were no significant major differences across guidelines. However, in the case of nonresponse or incomplete response to initial treatment, the second recommended treatment step varied across guidelines. For maintenance therapy, medication dose and duration differed among treatment guidelines. Further, there were several discrepancies in the recommendations for each subtype of depressive disorder across guidelines. For treatment in special populations, there were no significant differences in overall recommendations. This comparison identifies that, by and large, the treatment recommendations of the KMAP-DD 2012 are similar to those of other treatment guidelines and reflect current changes in prescription pattern for depression based on accumulated research data. Further studies will be needed to address several issues identified in our review.
