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 language | English |
|---|---|
| Pages (from-to) | 683-706 |
| Number of pages | 24 |
| Journal | Clinical Psychopharmacology and Neuroscience |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| State | Published - 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)
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SDG 3 Good Health and Well-being
Keywords
- Algorithms
- Depressive disorder
- Guideline
- Pharmacotherapy
- Treatment guideline
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