Validity and reliability of the Chinese-Version of the Br?set Violence Checklist
10.3969/j.issn.1000-6729.2015.06.009
- VernacularTitle:中文版布罗塞特暴力风险评估量表的效度和信度检验
- Author:
Yufei WU
;
Xiuli SUN
;
Baoping YAN
;
Suyin ZHAO
;
Jie LIU
;
Lijun CUI
;
Yanqiao GUO
;
Jianfeng LI
;
Keqing LI
- Publication Type:Journal Article
- Keywords:
psychiatry;
risk assessment;
Br?set Violence Checklist;
validity;
reliability
- From:
Chinese Mental Health Journal
2015;(6):446-451
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To test the validity and reliability of the Chinese version of the Br?set Violence Check-list (BVC-C).Methods:With the authorizing permission by the author,the BVC was translated into Chinese and a-dapted,and five psychiatry experts who had worked more than 20 years were invited (3 clinical doctors and 2 nur-ses)to evaluate the content validity of the scale as the content validity index.Totally 556 inpatients who met the di-agnosis criteria for mental disorders according to the International Statistical Classification of Diseases and Related Health Problems,Tenth Revision (ICD-10)were totally selected to proceed the formal testing.The BVC scale was used to evaluate inpatients every 8 hours,the Modified Overt Aggression Scale (MOAS)was used to test concurrent validity;the results of the real attacking incidents were used to test the criterion validity;the internal consistency re-liability of the scale was tested by Cronbach αcoefficient.Results:The content validity index of the scale was0.93.In addition to the own attack subscale,the MOAS total scores and the other 3 subscales scores were positively correlated with the BVC total scores and each item score (r =0.11 -0.69,P <0.01).The best criterion validity was 8 hours through analyzed,the AUC was 0.98.When the cut-off was 2,the sensitivity and specificity were 78.9% and 95.1% respectively.The Cronbach αcoefficient was 0.76 and the item total correlations were 0.47 -0.80 (P <0.01).Conclusion:It suggests that the BVC-C has good validity and reliability,which could be used as an effective prediction tool for psychiatric violence risk assessment.
