The Korean Medication Algorithm for Major Depressive Disorder (KMA-MDD): Report of the Korean Society of Depressive and Bipolar Disorders.
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| Title: | The Korean Medication Algorithm for Major Depressive Disorder (KMA-MDD): Report of the Korean Society of Depressive and Bipolar Disorders. |
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| Authors: | Lee, Min-Soo (AUTHOR), Lim, Se-Won (AUTHOR), Cha, Ji-Hyun (AUTHOR), Chung, Sang-Keun (AUTHOR), Kim, Kwang-Su (AUTHOR), Kasper, Siegfried (AUTHOR), THE EXECUTIVE COMMITTEE FOR THE KOREAN MEDICATION ALGORITHM PROJECT FOR MAJOR DEPRESSIVE DISORDER (AUTHOR) |
| Source: | International Journal of Psychiatry in Clinical Practice. Sep2006, Vol. 10 Issue 3, p186-194. 9p. 2 Diagrams. |
| Subjects: | Mental depression, Affective disorders, Psychoses, Psychiatric treatment |
| Geographic Terms: | Korea |
| Abstract: | Objective. There are many differences in biological characteristics, clinical situations, and medical insurance systems with ethnic groups or countries. The Korean Society of Depressive and Bipolar Disorders decided to develop a Korean treatment algorithm for major depressive disorder. Methods. The Korean Medication Algorithm Project for Major Depressive Disorder (KMAP-MDD) was designed with the following principles: (1) to be an ideal algorithm, (2) to be a Korean algorithm, (3) to be a medication algorithm, (4) to be an evidence-based and formal consensus algorithm. After collecting and reviewing many literature citations and reports by evidence-based rule, we constructed a survey questionnaire for formal consensus of Korean experts. By employing panels of experts to review the evidence and survey results thoroughly, we used evidence-based algorithm development as a component of a formal consensus development process. Results. We developed two algorithms for the KMA-MDD: one for major depressive disorder without psychotic feature and the other for major depressive disorder with psychotic features. Clinical guidelines for the implementation of KMA-MDD were also developed. The KMA-MDD provides specific treatment strategies for each stage. Conclusions. The KMA-MDD is the first Korean algorithm for treatment of major depressive disorder. It is based on evidence which supports the efficacy of each treatment, and it has obtained the consensus of Korean experts. We hope that the KMA-MDD will be good practical tool for clinicians who treat major depressive disorder in Korea. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Objective. There are many differences in biological characteristics, clinical situations, and medical insurance systems with ethnic groups or countries. The Korean Society of Depressive and Bipolar Disorders decided to develop a Korean treatment algorithm for major depressive disorder. Methods. The Korean Medication Algorithm Project for Major Depressive Disorder (KMAP-MDD) was designed with the following principles: (1) to be an ideal algorithm, (2) to be a Korean algorithm, (3) to be a medication algorithm, (4) to be an evidence-based and formal consensus algorithm. After collecting and reviewing many literature citations and reports by evidence-based rule, we constructed a survey questionnaire for formal consensus of Korean experts. By employing panels of experts to review the evidence and survey results thoroughly, we used evidence-based algorithm development as a component of a formal consensus development process. Results. We developed two algorithms for the KMA-MDD: one for major depressive disorder without psychotic feature and the other for major depressive disorder with psychotic features. Clinical guidelines for the implementation of KMA-MDD were also developed. The KMA-MDD provides specific treatment strategies for each stage. Conclusions. The KMA-MDD is the first Korean algorithm for treatment of major depressive disorder. It is based on evidence which supports the efficacy of each treatment, and it has obtained the consensus of Korean experts. We hope that the KMA-MDD will be good practical tool for clinicians who treat major depressive disorder in Korea. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 13651501 |
| DOI: | 10.1080/13651500600633584 |
