Acceptability and psychometric properties of Broset Violence Checklist in psychiatric care settings in China

Xiuyu Yao, Zheng Li, David Arthur, Lili Hu, Fengrong An, Gen Cheng

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    The lack of standardized violence risk assessment instrument has disadvantaged nurses in clinical practice in China, where violent behaviour is an increasing problem. This study conducted a validation of the Brøset Violence Checklist that has proven effective in violence risk prediction in other countries. A sample of 296 patients consecutively admitted to two wards of a psychiatric hospital in Beijing was recruited. These patients were assessed on day shift and evening shift for the first seven days of hospitalization. Violence data and preventive measures were concurrently collected from nursing records and case reports. A total of 3707 assessments for 281 patients were collected revealing 93 episodes of violence among 55 patients. Receiver operating characteristics yielded an area under the curve of 0.85. At the cut-off point of one, its sensitivity/specificity was 78.5%/88.2% and the corresponding positive/negative predictive value was 14.6%/99.4%. In some false positive cases, intense preventive measures had been implemented. Positive feedback from the nurses was gained. The Brøset Violence Checklist was proved as an easy-to-use and time-saving instrument, therefore, regarded as a promising tool to determine if the psychiatric users are potentially violent in the short term.
    Original languageEnglish
    Pages (from-to)848-855
    Number of pages8
    JournalJournal of Psychiatric and Mental Health Nursing
    Volume21
    Issue number9
    DOIs
    Publication statusPublished - Nov 2014

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    Checklist
    Psychometrics
    Violence
    Psychiatry
    China
    Nursing Records
    Nurses
    Psychiatric Hospitals
    Vulnerable Populations
    ROC Curve
    Area Under Curve
    Hospitalization
    Sensitivity and Specificity

    Cite this

    Yao, Xiuyu ; Li, Zheng ; Arthur, David ; Hu, Lili ; An, Fengrong ; Cheng, Gen. / Acceptability and psychometric properties of Broset Violence Checklist in psychiatric care settings in China. In: Journal of Psychiatric and Mental Health Nursing. 2014 ; Vol. 21, No. 9. pp. 848-855.
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    title = "Acceptability and psychometric properties of Broset Violence Checklist in psychiatric care settings in China",
    abstract = "The lack of standardized violence risk assessment instrument has disadvantaged nurses in clinical practice in China, where violent behaviour is an increasing problem. This study conducted a validation of the Br{\o}set Violence Checklist that has proven effective in violence risk prediction in other countries. A sample of 296 patients consecutively admitted to two wards of a psychiatric hospital in Beijing was recruited. These patients were assessed on day shift and evening shift for the first seven days of hospitalization. Violence data and preventive measures were concurrently collected from nursing records and case reports. A total of 3707 assessments for 281 patients were collected revealing 93 episodes of violence among 55 patients. Receiver operating characteristics yielded an area under the curve of 0.85. At the cut-off point of one, its sensitivity/specificity was 78.5{\%}/88.2{\%} and the corresponding positive/negative predictive value was 14.6{\%}/99.4{\%}. In some false positive cases, intense preventive measures had been implemented. Positive feedback from the nurses was gained. The Br{\o}set Violence Checklist was proved as an easy-to-use and time-saving instrument, therefore, regarded as a promising tool to determine if the psychiatric users are potentially violent in the short term.",
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    Acceptability and psychometric properties of Broset Violence Checklist in psychiatric care settings in China. / Yao, Xiuyu; Li, Zheng; Arthur, David; Hu, Lili; An, Fengrong; Cheng, Gen.

    In: Journal of Psychiatric and Mental Health Nursing, Vol. 21, No. 9, 11.2014, p. 848-855.

    Research output: Contribution to journalArticleResearchpeer-review

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    AU - Cheng, Gen

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