Background: Bipolar disorder is challenging to diagnose. In Rwanda, a sub-Saharan country with a limited number of psychiatrists, the number of people with an undetected diagnosis of bipolar disorder could be high. Still, no screening tool for the disorder is available in the country. This study aimed to adapt and validate the Mood Disorder Questionnaire in the Rwandan population. Methods: The Mood Disorder Questionnaire was translated into Kinyarwanda. The process involved backtranslation, cross-cultural adaptation, field testing of the pre-final version, and final adjustments. A total of 331 patients with either bipolar disorder or unipolar major depression from two psychiatric outpatient hospitals were included. The statistical analysis included reliability and validity analyses and receiver operating characteristic curve (ROC) analysis. The optimal cut-off was chosen by maximizing Younden's index. Results: The Rwandese version of The Mood Disorder Questionnaire had adequate internal consistency (Cronbach's alpha =0.91). The optimal threshold value was at least six positive items, which yielded excellent sensitivity (94.7%), and specificity (97.3%). The ROC area under the curve (AUC) was 0.99. Conclusion: The adapted tool showed good psychometric properties in terms of reliability and validity for the screening of bipolar disorder, with a recommended cutoff value of six items on the symptom checklist for a positive score and an exclusion of items 14 and 15. The tool has the potential to be a crucial instrument to identify otherwise undetected cases of bipolar disorder in Rwanda, improving access to mental health treatment, thus enhancing the living conditions of people with bipolar disorder.
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St Josephs Hlth Care, Perinatal Clin, London, ON, CanadaUniv Western Ontario, Dept Epidemiol & Biostat, London, ON, Canada
Sharma, Verinder
Xie, Bin
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Univ Western Ontario, Dept Epidemiol & Biostat, London, ON, Canada
Univ Western Ontario, Dept Obstet & Gynecol, London, ON, CanadaUniv Western Ontario, Dept Epidemiol & Biostat, London, ON, Canada
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Univ Manchester, Sch Psychol Sci Clin & Hlth Psychol, Manchester M13 9PT, Lancs, EnglandUniv Manchester, Neurosci & Psychiat Unit, Manchester M13 9PT, Lancs, England
Twiss, James
Jones, Steven
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Univ Manchester, Sch Psychol Sci Clin & Hlth Psychol, Manchester M13 9PT, Lancs, EnglandUniv Manchester, Neurosci & Psychiat Unit, Manchester M13 9PT, Lancs, England
Jones, Steven
Anderson, Ian
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Univ Manchester, Neurosci & Psychiat Unit, Manchester M13 9PT, Lancs, EnglandUniv Manchester, Neurosci & Psychiat Unit, Manchester M13 9PT, Lancs, England
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Sun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China
Gan, Zhaoyu
Han, Zili
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Sun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China
Han, Zili
Li, Kanglai
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Sun Yat Sen Univ, Affiliated Hosp 3, VIP Dept, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China
Li, Kanglai
Diao, Feici
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Sun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China
Diao, Feici
Wu, Xiaoli
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Sun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China
Wu, Xiaoli
Guan, Nianhong
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Sun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China
Guan, Nianhong
Zhang, Jinbei
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Sun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R ChinaSun Yat Sen Univ, Affiliated Hosp 3, Dept Psychiat, Guangzhou 510630, Guangdong, Peoples R China