Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS)
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 (B...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liao, Yuhua [verfasserIn] Han, Xue [verfasserIn] Guo, Lan [verfasserIn] Wang, Wanxin [verfasserIn] Wang, Hongqiong [verfasserIn] Li, Lingjiang [verfasserIn] Shen, Manjun [verfasserIn] Song, Weidong [verfasserIn] Zhu, Dongjian [verfasserIn] Jiang, Yunbin [verfasserIn] Teopiz, Kayla M. [verfasserIn] Lu, Ciyong [verfasserIn] McIntyre, Roger S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of affective disorders - Amsterdam [u.a.] : Elsevier Science, 1979, 348, Seite 54-61 |
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| Übergeordnetes Werk: |
volume:348 ; pages:54-61 |
| DOI / URN: |
10.1016/j.jad.2023.12.034 |
|---|
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ELV066622662 |
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| 245 | 1 | 0 | |a Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) |
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| 520 | |a 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. | ||
| 650 | 4 | |a Bipolar disorder | |
| 650 | 4 | |a Major depressive disorder | |
| 650 | 4 | |a Screening tool | |
| 650 | 4 | |a Rapid Mood Screener | |
| 650 | 4 | |a Mood disorder questionnaire | |
| 700 | 1 | |a Han, Xue |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Lan |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Wanxin |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Hongqiong |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Lingjiang |e verfasserin |4 aut | |
| 700 | 1 | |a Shen, Manjun |e verfasserin |4 aut | |
| 700 | 1 | |a Song, Weidong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Dongjian |e verfasserin |4 aut | |
| 700 | 1 | |a Jiang, Yunbin |e verfasserin |4 aut | |
| 700 | 1 | |a Teopiz, Kayla M. |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Ciyong |e verfasserin |4 aut | |
| 700 | 1 | |a McIntyre, Roger S. |e verfasserin |4 aut | |
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10.1016/j.jad.2023.12.034 doi (DE-627)ELV066622662 (ELSEVIER)S0165-0327(23)01502-1 DE-627 ger DE-627 rda eng 610 VZ 44.91 bkl Liao, Yuhua verfasserin aut Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Bipolar disorder Major depressive disorder Screening tool Rapid Mood Screener Mood disorder questionnaire Han, Xue verfasserin aut Guo, Lan verfasserin aut Wang, Wanxin verfasserin aut Wang, Hongqiong verfasserin aut Li, Lingjiang verfasserin aut Shen, Manjun verfasserin aut Song, Weidong verfasserin aut Zhu, Dongjian verfasserin aut Jiang, Yunbin verfasserin aut Teopiz, Kayla M. verfasserin aut Lu, Ciyong verfasserin aut McIntyre, Roger S. verfasserin aut Enthalten in Journal of affective disorders Amsterdam [u.a.] : Elsevier Science, 1979 348, Seite 54-61 Online-Ressource (DE-627)306659670 (DE-600)1500487-9 (DE-576)081986327 1573-2517 nnns volume:348 pages:54-61 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 Psychiatrie Psychopathologie VZ AR 348 54-61 |
| spelling |
10.1016/j.jad.2023.12.034 doi (DE-627)ELV066622662 (ELSEVIER)S0165-0327(23)01502-1 DE-627 ger DE-627 rda eng 610 VZ 44.91 bkl Liao, Yuhua verfasserin aut Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Bipolar disorder Major depressive disorder Screening tool Rapid Mood Screener Mood disorder questionnaire Han, Xue verfasserin aut Guo, Lan verfasserin aut Wang, Wanxin verfasserin aut Wang, Hongqiong verfasserin aut Li, Lingjiang verfasserin aut Shen, Manjun verfasserin aut Song, Weidong verfasserin aut Zhu, Dongjian verfasserin aut Jiang, Yunbin verfasserin aut Teopiz, Kayla M. verfasserin aut Lu, Ciyong verfasserin aut McIntyre, Roger S. verfasserin aut Enthalten in Journal of affective disorders Amsterdam [u.a.] : Elsevier Science, 1979 348, Seite 54-61 Online-Ressource (DE-627)306659670 (DE-600)1500487-9 (DE-576)081986327 1573-2517 nnns volume:348 pages:54-61 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 Psychiatrie Psychopathologie VZ AR 348 54-61 |
| allfields_unstemmed |
10.1016/j.jad.2023.12.034 doi (DE-627)ELV066622662 (ELSEVIER)S0165-0327(23)01502-1 DE-627 ger DE-627 rda eng 610 VZ 44.91 bkl Liao, Yuhua verfasserin aut Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Bipolar disorder Major depressive disorder Screening tool Rapid Mood Screener Mood disorder questionnaire Han, Xue verfasserin aut Guo, Lan verfasserin aut Wang, Wanxin verfasserin aut Wang, Hongqiong verfasserin aut Li, Lingjiang verfasserin aut Shen, Manjun verfasserin aut Song, Weidong verfasserin aut Zhu, Dongjian verfasserin aut Jiang, Yunbin verfasserin aut Teopiz, Kayla M. verfasserin aut Lu, Ciyong verfasserin aut McIntyre, Roger S. verfasserin aut Enthalten in Journal of affective disorders Amsterdam [u.a.] : Elsevier Science, 1979 348, Seite 54-61 Online-Ressource (DE-627)306659670 (DE-600)1500487-9 (DE-576)081986327 1573-2517 nnns volume:348 pages:54-61 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 Psychiatrie Psychopathologie VZ AR 348 54-61 |
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10.1016/j.jad.2023.12.034 doi (DE-627)ELV066622662 (ELSEVIER)S0165-0327(23)01502-1 DE-627 ger DE-627 rda eng 610 VZ 44.91 bkl Liao, Yuhua verfasserin aut Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Bipolar disorder Major depressive disorder Screening tool Rapid Mood Screener Mood disorder questionnaire Han, Xue verfasserin aut Guo, Lan verfasserin aut Wang, Wanxin verfasserin aut Wang, Hongqiong verfasserin aut Li, Lingjiang verfasserin aut Shen, Manjun verfasserin aut Song, Weidong verfasserin aut Zhu, Dongjian verfasserin aut Jiang, Yunbin verfasserin aut Teopiz, Kayla M. verfasserin aut Lu, Ciyong verfasserin aut McIntyre, Roger S. verfasserin aut Enthalten in Journal of affective disorders Amsterdam [u.a.] : Elsevier Science, 1979 348, Seite 54-61 Online-Ressource (DE-627)306659670 (DE-600)1500487-9 (DE-576)081986327 1573-2517 nnns volume:348 pages:54-61 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 Psychiatrie Psychopathologie VZ AR 348 54-61 |
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10.1016/j.jad.2023.12.034 doi (DE-627)ELV066622662 (ELSEVIER)S0165-0327(23)01502-1 DE-627 ger DE-627 rda eng 610 VZ 44.91 bkl Liao, Yuhua verfasserin aut Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Bipolar disorder Major depressive disorder Screening tool Rapid Mood Screener Mood disorder questionnaire Han, Xue verfasserin aut Guo, Lan verfasserin aut Wang, Wanxin verfasserin aut Wang, Hongqiong verfasserin aut Li, Lingjiang verfasserin aut Shen, Manjun verfasserin aut Song, Weidong verfasserin aut Zhu, Dongjian verfasserin aut Jiang, Yunbin verfasserin aut Teopiz, Kayla M. verfasserin aut Lu, Ciyong verfasserin aut McIntyre, Roger S. verfasserin aut Enthalten in Journal of affective disorders Amsterdam [u.a.] : Elsevier Science, 1979 348, Seite 54-61 Online-Ressource (DE-627)306659670 (DE-600)1500487-9 (DE-576)081986327 1573-2517 nnns volume:348 pages:54-61 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 Psychiatrie Psychopathologie VZ AR 348 54-61 |
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Liao, Yuhua @@aut@@ Han, Xue @@aut@@ Guo, Lan @@aut@@ Wang, Wanxin @@aut@@ Wang, Hongqiong @@aut@@ Li, Lingjiang @@aut@@ Shen, Manjun @@aut@@ Song, Weidong @@aut@@ Zhu, Dongjian @@aut@@ Jiang, Yunbin @@aut@@ Teopiz, Kayla M. @@aut@@ Lu, Ciyong @@aut@@ McIntyre, Roger S. @@aut@@ |
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Liao, Yuhua |
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Liao, Yuhua ddc 610 bkl 44.91 misc Bipolar disorder misc Major depressive disorder misc Screening tool misc Rapid Mood Screener misc Mood disorder questionnaire Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) |
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610 VZ 44.91 bkl Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) Bipolar disorder Major depressive disorder Screening tool Rapid Mood Screener Mood disorder questionnaire |
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Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) |
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Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) |
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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. |
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evaluation of a novel instrument for detecting bipolar disorders in china: the rapid mood screener (rms) |
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Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) |
| 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. |
| abstractGer |
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. |
| abstract_unstemmed |
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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Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS) |
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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. |
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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. 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