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Published on: July 10, 2017
Re-Examining the Predictive Validity and Establishing Risk Levels for the Dynamic Appraisal of Situational
Tessa Maguire1,2,3, Steven Bowe4, John Kasinathan5,6
1Centre for Forensic Behavioural Science, Swinburne University of Technology, Melbourne, Victoria, Australia.
This study recommends a three-category risk band for the Dynamic Appraisal of Situational Aggression: Youth Version (DASA:YV). This approach improves the accurate categorization of youth aggression risk for nursing staff.
Area of Science:
- Psychiatry and Mental Health
- Nursing Practice
- Risk Assessment Tools
Background:
- The Dynamic Appraisal of Situational Aggression: Youth Version (DASA:YV) is a validated tool for assessing imminent violence risk in youth.
- Current recommendations suggest linear interpretation of DASA:YV scores for intervention.
- Re-analysis of existing data is needed to refine risk categorization and predictive validity.
Purpose of the Study:
- To re-examine the predictive validity of the DASA:YV using contemporary data analytic methods.
- To determine and validate appropriate risk bands for DASA:YV scores.
- To enhance the practical utility of the DASA:YV for nursing staff in youth settings.
Main Methods:
- Utilized mixed-effect logistic regression models to analyze correlated observational data.
- Employed two approaches for identifying risk bands: adapting adult DASA categories and using Chi-square automated interaction detection (CHAID).
- Compared the predictive accuracy (AUC) of three- and four-category risk band models.
Main Results:
- A three-category risk band model demonstrated comparable predictive validity (AUC = 0.85) to a four-category model.
- No statistically significant difference was found between three- and four-category risk band models.
- The study supports the recommendation of a three-category approach for DASA:YV interpretation.
Conclusions:
- A three-category risk band system is recommended for the DASA:YV, offering more accurate risk categorization.
- Implementing these refined risk bands can aid nursing staff in timely and appropriate interventions.
- Early identification of escalating risk may reduce the need for restrictive practices in youth mental health settings.
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