Skip to main navigation Skip to search Skip to main content

Korean Medication Algorithm for Depressive Disorder 2025, Fifth Revision: An Executive Summary

  • Nak Young Kim
  • , Jeong Seok Seo
  • , Won Myong Bahk
  • , Won Seok Choi
  • , Sheng Min Wang
  • , Young Sup Woo
  • , Won Kim
  • , Sung Yong Park
  • , Jung Goo Lee
  • , Chan Mo Yang
  • , Sang Yeol Lee
  • , Hyung Mo Sung
  • , Young Eun Jung
  • , Moon Doo Kim
  • , Jong Hyun Jeong
  • , Duk In Jon
  • , Bo Hyun Yoon
  • , Se Hoon Shim
  • , Kyung Joon Min
  • Hanyang University
  • Chung-Ang University
  • The Catholic University of Korea, College of Medicine
  • Woo and Bahk Psychiatry Clinic
  • Inje University
  • Keyo Hospital
  • Wonkwang University
  • Soonchunhyang University
  • Jeju National University
  • Hallym University
  • Naju National Hospital

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objective: Since its development in 2002 by the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders, the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) has undergone five revisions. Methods: To improve survey efficiency, reflect general clinical practice, and facilitate comparisons with previous KMAP-DD revisions, the overall structure of the questionnaire was retained. The six sections of the questionnaire were as follows: 1) pharmacological treatment strategies for major depressive disorder with and without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus on treat-ment-resistant depression; 4) selection of an antidepressant in consideration of safety, adverse effects, and comorbid phys-ical conditions; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-phar-macological biological therapies. First-, second-, and third-line treatment recommendations were statistically derived. Results: Compared to KMAP-DD 2021, only minor changes were noted, due to the limited introduction of new medi-cations or treatment modalities. Nonetheless, notable shifts included an increased preference for atypical antipsychotics (AAPs), and higher preference of combination strategies involving AAPs and mood stabilizers, indicating a more proac-tive and intensive treatment trend in Korea. Conclusion: KMAP-DD is expected to serve as a valuable clinical resource by providing expert consensus-based recommendations on specific treatment strategies and pharmacological options for major depressive disorders, thereby support-ing the integration of real-world clinical practice with evidence-based medicine.

Original languageEnglish
Pages (from-to)683-706
Number of pages24
JournalClinical Psychopharmacology and Neuroscience
Volume23
Issue number4
DOIs
StatePublished - Nov 2025

Bibliographical note

Publisher Copyright:
© 2025, Korean College of Neuropsychopharmacology. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Algorithms
  • Depressive disorder
  • Guideline
  • Pharmacotherapy
  • Treatment guideline

Fingerprint

Dive into the research topics of 'Korean Medication Algorithm for Depressive Disorder 2025, Fifth Revision: An Executive Summary'. Together they form a unique fingerprint.

Cite this