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Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS).
Liao, Yuhua; Han, Xue; Guo, Lan; Wang, Wanxin; Wang, Hongqiong; Li, Lingjiang; Shen, Manjun; Song, Weidong; Zhu, Dongjian; Jiang, Yunbin; Teopiz, Kayla M; Lu, Ciyong; McIntyre, Roger S.
Affiliation
  • Liao Y; Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Han X; Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
  • Guo L; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Wang W; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Wang H; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Li L; Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, People's Republic of China.
  • Shen M; Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
  • Song W; Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
  • Zhu D; Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
  • Jiang Y; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Teopiz KM; Brain and Cognition Discovery Foundation, Toronto, ON, Canada.
  • Lu C; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China. Electronic address: luciyong@mail.sysu.edu.cn.
  • McIntyre RS; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Canadian Rapid Treatment Center of Excellence, Mississauga, ON, Canada; Brain and Co
J Affect Disord ; 348: 54-61, 2024 03 01.
Article in En | MEDLINE | ID: mdl-38110155
ABSTRACT

OBJECTIVE:

Bipolar disorder is easily misdiagnosed with major depressive disorder (MDD). The Rapid Mood Screener (RMS) was developed to address this unmet clinical need. This study aims to translate and evaluated the reliability and validity of the RMS in Chinese adults with bipolar I/II disorder (BD-I/II).

METHODS:

Brislin's translation and Delphi method were conducted to formulate the RMS-Chinses version (RMS-C). Patients with MDD (N = 99), BD-I (N = 77) and BD-II (N = 78) were included to assess the validity and reliability of RMS-C. The area under the curve (AUC) was computed to ascertain the ability of the Mood Disorder Questionnaire (MDQ) and RMS-C to distinguish BD-I and BD-II from MDD. The optimal cut-off scores for classification were also calculated by the maximum sensitivity and specificity.

RESULTS:

The intraclass correlation coefficient of the RMS-C was 0.82 (95%CI, 0.71-0.89). The content validity index by six items were 0.71, 0.86, 1.00, 0.86, 1.00, and 1.00 in turn, and by scales was 0.90. The AUCs of the RMS-C in both BD-I/II, BD-I alone and BD-II alone were 0.83 (95 % CI, 0.78-0.89), 0.82 (95 % CI, 0.75-0.89) and 0.85 (95 % CI, 0.79-0.91), respectively, and were comparably to the MDQ. The optimal RMS-C values of the presence of BD-I and BD-II were >4 and 3, respectively.

CONCLUSION:

The RMS-C is a valid, simple self-administer screening tool to help identify BD-I or BD-II in persons experiencing a depressive episode. Validating the impact of screening with the RMS-C on health outcomes and health economics is warranted.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / Depressive Disorder, Major Limits: Adult / Humans Country/Region as subject: Asia Language: En Journal: J Affect Disord Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / Depressive Disorder, Major Limits: Adult / Humans Country/Region as subject: Asia Language: En Journal: J Affect Disord Year: 2024 Type: Article