4.3 Article

Using Dynamic Risk and Protective Factors to Predict Inpatient Aggression: Reliability and Validity of START Assessments

Journal

PSYCHOLOGICAL ASSESSMENT
Volume 24, Issue 3, Pages 685-700

Publisher

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/a0026668

Keywords

START; violence risk assessment; structured professional judgment; dynamic factors; protective factors

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The Short-Term Assessment of Risk and Treatability (START; C. D. Webster, M. L. Martin, J. Brink, T. L. Nicholls, & S. L. Desmarais, 2009; C. D. Webster, M. L. Martin, J. Brink, T. L. Nicholls, & C. Middleton, 2004) is a relatively new structured professional judgment guide for the assessment and management of short-term risks associated with mental, substance use, and personality disorders. The scheme may be distinguished from other violence risk assessment instruments because of its inclusion of 20 dynamic factors that are rated in terms of both vulnerability and strength. This study examined the reliability and validity of START assessments in predicting inpatient aggression. Research assistants completed START assessments for 120 male forensic psychiatric patients through review of hospital files. They also completed Historical-Clinical-Risk Management-20 (HCR-20; C. D. Webster, K. S. Douglas, D. Eaves, & S. D. Hart, 1997) and Hare Psychopathy Checklist: Screening Version (PCL:SV; S. D. Hart, D. N. Cox, & R. D. Hare, 1995) assessments. Outcome data were coded from hospital files for a 12-month follow-up period using the Overt Aggression Scale (OAS; S. C. Yudofsky, J. M. Silver, W. Jackson, J. Endicott, & D. W. Williams, 1986). START assessments evidenced excellent interrater reliability and demonstrated both predictive and incremental validity over the HCR-20 Historical subscale scores and PCL:SV total scores. Overall, results support the reliability and validity of START assessments and use of the structured professional judgment approach more broadly, as well as the value of using dynamic risk and protective factors to assess violence risk.

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