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] |
| Copyright of International Journal of Psychiatry in Clinical Practice is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 22138898 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Korean Medication Algorithm for Major Depressive Disorder (KMA-MDD): Report of the Korean Society of Depressive and Bipolar Disorders. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lee%2C+Min-Soo%22">Lee, Min-Soo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lim%2C+Se-Won%22">Lim, Se-Won</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cha%2C+Ji-Hyun%22">Cha, Ji-Hyun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chung%2C+Sang-Keun%22">Chung, Sang-Keun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Kwang-Su%22">Kim, Kwang-Su</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kasper%2C+Siegfried%22">Kasper, Siegfried</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22THE+EXECUTIVE+COMMITTEE+FOR+THE+KOREAN+MEDICATION+ALGORITHM+PROJECT+FOR+MAJOR+DEPRESSIVE+DISORDER%22">THE EXECUTIVE COMMITTEE FOR THE KOREAN MEDICATION ALGORITHM PROJECT FOR MAJOR DEPRESSIVE DISORDER</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Psychiatry+in+Clinical+Practice%22">International Journal of Psychiatry in Clinical Practice</searchLink>. Sep2006, Vol. 10 Issue 3, p186-194. 9p. 2 Diagrams. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Psychoses%22">Psychoses</searchLink><br /><searchLink fieldCode="DE" term="%22Psychiatric+treatment%22">Psychiatric treatment</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Korea%22">Korea</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Psychiatry in Clinical Practice is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/13651500600633584 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 186 Subjects: – SubjectFull: Mental depression Type: general – SubjectFull: Affective disorders Type: general – SubjectFull: Psychoses Type: general – SubjectFull: Psychiatric treatment Type: general – SubjectFull: Korea Type: general Titles: – TitleFull: The Korean Medication Algorithm for Major Depressive Disorder (KMA-MDD): Report of the Korean Society of Depressive and Bipolar Disorders. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee, Min-Soo – PersonEntity: Name: NameFull: Lim, Se-Won – PersonEntity: Name: NameFull: Cha, Ji-Hyun – PersonEntity: Name: NameFull: Chung, Sang-Keun – PersonEntity: Name: NameFull: Kim, Kwang-Su – PersonEntity: Name: NameFull: Kasper, Siegfried – PersonEntity: Name: NameFull: THE EXECUTIVE COMMITTEE FOR THE KOREAN MEDICATION ALGORITHM PROJECT FOR MAJOR DEPRESSIVE DISORDER IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 13651501 Numbering: – Type: volume Value: 10 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Psychiatry in Clinical Practice Type: main |
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