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The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD): Changes in Preferred Treatment Strategies and Medications over 20 Years and Five Editions.
Jang, Seung-Ho; Bahk, Won-Myong; Woo, Young Sup; Seo, Jeong Seok; Park, Young-Min; Kim, Won; Jeong, Jong-Hyun; Shim, Se-Hoon; Lee, Jung Goo; Jon, Duk-In; Min, Kyung Joon.
Afiliação
  • Jang SH; Department of Psychiatry, Wonkwang University Hospital, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea.
  • Bahk WM; Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
  • Woo YS; Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
  • Seo JS; Department of Psychiatry, College of Medicine, Chung-Ang University, Seoul 06974, Republic of Korea.
  • Park YM; Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang 10380, Republic of Korea.
  • Kim W; Department of Psychiatry, Sanggye Paik Hospital, Inje University College of Medicine, Seoul 01757, Republic of Korea.
  • Jeong JH; Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
  • Shim SH; Department of Psychiatry, Soonchunhyang University Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan 31151, Republic of Korea.
  • Lee JG; Department of Psychiatry, Haeundae Paik Hospital, College of Medicine, Inje University, Busan 48108, Republic of Korea.
  • Jon DI; Department of Psychiatry, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea.
  • Min KJ; Department of Psychiatry, College of Medicine, Chung-Ang University, Seoul 06974, Republic of Korea.
J Clin Med ; 12(3)2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36769798

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article