Dashing hopes?: the predictive accuracy of domestic abuse risk assessment by police

The Domestic Abuse, Stalking and Honour Based Violence (DASH) form is a standardized risk assessment implemented across most UK police forces. It is intended to facilitate an officer’s structured professional judgment about the risk a victim faces of serious harm at the hand of their abuser. Until n...

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Detalles Bibliográficos
Autor principal: Turner, Emily (Autor)
Otros Autores: Medina, Juanjo ; Brown, Gavin
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2019
En: The British journal of criminology
Año: 2019, Volumen: 59, Número: 5, Páginas: 1013-1034
Acceso en línea: Presumably Free Access
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Palabras clave:
Domestic abuse
Häusliche Gewalt
Machine learning
Maschinelles Lernen
Police
Polizeiarbeit
Predictive policing
Risk assessment
Techniken
Vorausschauende Polizeiarbeit
Descripción
Sumario:The Domestic Abuse, Stalking and Honour Based Violence (DASH) form is a standardized risk assessment implemented across most UK police forces. It is intended to facilitate an officer’s structured professional judgment about the risk a victim faces of serious harm at the hand of their abuser. Until now, it has been an open question whether this tool works in practice. Here, we present the largest scale European study, making the case that the risk assessment tool is underperforming. Each element of the DASH questionnaire is, at best, weakly predictive of revictimization. Officer risk predictions based on DASH are little better than random and a logistic regression model that predicts the same outcome using DASH only provides modest improvement in performance.
ISSN:1464-3529
DOI:10.1093/bjc/azy074