Intimate Partner Violence Risk Assessment Validation Study: The RAVE Study Practitioner Summary and Recommendations: Validation of Tools for Assessing Risk from Violent Intimate Partners

Roehl, Janice; O’Sullivan, Chris; Webster, Daniel; Campbell, Jacquelyn C.

doi:10.1037/e515672006-001

Cited by 25 publications

(28 citation statements)

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“…These innovations have primarily been implemented outside of clinical settings and have demonstrated the effectiveness for reducing IPV among diverse populations of women. For decades, the Danger Assessment (http://dangerassessment.org) has been used in an array of settings including law‐enforcement and safe houses to identify women at risk of severe and/or lethal injury (Roehl, O'Sullivan, Webster, & Campbell, ). As the nursing role continues to expand in primary care settings (Wojnar & Whelan, ), nurses are often the first people to whom abused women will disclose IPV.…”

Section: Discussionmentioning

confidence: 99%

“…After the relationship assessment, the next component is the Danger Assessment (DA), a validated assessment of risk factors for severe repeat or lethal violence, such as the abuser's gun ownership, having children in the home of whom the abuser is not the biological parent, an increase in severity and frequency of violence, and abuser's use of alcohol/drugs (Campbell et al, ). A weighted scoring algorithm provides the user's DA score (range 0–38) graphically and with personalized messages about her level of danger based on her score: (1) variable danger (score < 8); (2) increased danger (score = 8–13); (3) severe danger (score = 14–17); and (4) extreme danger (score > 17; Campbell, Webster, & Glass, ; Roehl, O'Sullivan, Webster, & Campbell, ).…”

Section: Myplan App Development and Componentsmentioning

confidence: 99%

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Responding to intimate partner violence: Healthcare providers' current practices and views on integrating a safety decision aid into primary care settings

Alvarez

Debnam

Clough

et al. 2018

Research in Nursing & Health

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Supportive care for survivors of intimate partner violence (IPV) remains limited in primary care settings. Low-income and Spanish-speaking survivors of IPV are even more disadvantaged, given the dearth of linguistically and culturally appropriate interventions for IPV. We conducted semi-structured individual interviews with 17 healthcare workers, including physicians, nurses, and social workers, to describe how healthcare workers serving primarily low-income, Latina populations are currently screening and responding to IPV disclosure, and to explore the acceptability of integrating an interactive, personalized safety decision aid application-myPlan app-into the clinic setting. Despite recognition of IPV as a problem, none of the clinical sites had a protocol to guide screening and response to IPV disclosure. Screening practices varied across the sites, sometimes conducted by medical assistants prior to the provider visit and other times by the physician or nurse provider. When IPV was disclosed, it was often during assessment for a presenting problem such as poor sleep or anxiety. Most healthcare workers felt that clinical and community resources were limited for their patients experiencing IPV. The "warm hand-off" to a social worker was the most common response strategy when possible; otherwise, women were given information about available resources such as hotlines and safe houses. We discuss structural, family, and individual barriers to accessing safety resources for underserved women and review how an easily accessible safety decision app, such as myPlan, could be a resource for women to safely tailor an action plan for her situation.

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Section: Discussionmentioning

confidence: 99%

Section: Myplan App Development and Componentsmentioning

confidence: 99%

Responding to intimate partner violence: Healthcare providers' current practices and views on integrating a safety decision aid into primary care settings

Alvarez

Debnam

Clough

et al. 2018

Research in Nursing & Health

View full text Add to dashboard Cite

show abstract

“…Low base rates make lethality prediction very difficult, and Campbell accepted that Bit is always difficult to predict, with our current statistical models and limited resources for longitudinal research, a seldom occurring event^ (Campbell 2005a(Campbell :1210. Roehl et al (2005) conducted a prospective study of the accuracy of four modelsthe Danger Assessment, DV-MOSAIC, the Domestic Violence Screening Instrument and the Kingston Screening Instrument for Domestic Violence. The study showed the assessments were better than chance, but there was a high level of false positives and sufficient false negatives to be of great concern.…”

Section: Earlier Studies On Prior Record Of Domestic Abuse Predictingmentioning

confidence: 99%

Police Attempts to Predict Domestic Murder and Serious Assaults: Is Early Warning Possible Yet?

Thornton¹

2017

Camb J Evid Based Polic

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Research Question What facts known to police, if any, could have predicted the 118 domestic and family murders and near-murders in the Thames Valley (UK) police area over a recent three-year period? Data Thames Valley Police records were examined for 118 victims and 120 offenders in all 118 cases of Bdeadly^domestic violence: murder, attempted murder, manslaughter, and grievous bodily harm with intent in calendar years 2007 and 2009 and other records of police contact with those persons prior to the cases identified for this prediction study were also coded, as well as the PNC records of a case-control sample of 150 male and 100 female offenders in less serious violent crimes. Local police risk assessments, including the DASH protocol, were coded for deadly violence cases with prior police contact. Methods Risk assessments made during prior police contacts with domestic violence cases during the time period were coded for accuracy of forecasts. Characteristics of offenders and victims in deadly violence were also compared to characteristics of the case-control sample, calculating the relative-risk ratios between the two groups for the presence of factors that further research could explore as possible predictors of deadly domestic violence. Findings In 55% of deadly violence cases, there was no prior recorded contact by police with the victim; a further 21% of victims had only one prior police contact. Not one of the 13 murder cases with any prior police contact had ever been assessed by responding officers as Bhigh risk^based on DASH or its predecessor, for a 100% false negative rate of prediction on risk of murder and an 89% false negative rate for any deadly violence (only 6 cases with prior contact had been classified as high risk). In contrast, during the same time period, 2721 other domestic violence cases yielded Bhigh-risk^assessments but were not actually followed by deadly violence. Yet the case control study found male offenders who committed serious domestic assaults were Camb J Evid Based Polic (2017) 1:64-80 DOI 10.1007/s41887-017-0011-1 * Sara Thornton Sara.Thornton@npcc.pnn.police.uk 1 National Police Chiefs' Council, England, UK over three times more likely than other violent offenders to be have had markers of suicidal tendencies. Conclusions Predicting deadly domestic violence based on intelligence from prior police contacts does not appear possible at present, given these findings that less than half of these cases had prior police contact, and that when contact did occur, the relationships were assessed by the DASH protocol or its predecessor as not high risk in 89% of those cases. A more promising predictor for male offenders in these cases, even without prior contact, may be a prior marker for suicide (ideation, threats or attempts), but use of that marker requires further research on the extent to which it can be identified before the deadly violence occurs, either from police contacts or other sources, so that more intensive efforts can be undertaken to prevent deadly violence in...

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“…This study found that 90% of the cases included fell within the receiver operator curve (ROC) suggesting that the DA is adept at identifying cases of lethal IPV in relation to non-lethal IPV [43]. Roehl et al [44] examined data provided by 1307 battered women and compared the test results of the DA with two other risk assessment questionnaires and the victims' perception of risk. The DA had the highest correlation with subsequent abuse, although the correlation was small (r = 0.38).…”

Section: Methodsmentioning

confidence: 99%

Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men

Babcock

Cooper

2019

Safety

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Risk assessments are typically based on retrospective reports of factors known to be correlated with violence recidivism in simple linear models. Generally, these linear models use only the perpetrators’ reports. Using a community sample of couples recruited for recent male-to-female intimate partner violence (IPV; N = 97 couples), the current study compared non-linear neural network models to traditional linear models in predicting a history of arrest in men who perpetrate IPV. The neural network models were found to be superior to the linear models in their predictive power. Models were slightly improved by adding victims’ report. These findings suggest that the prediction of violence arrest be enhanced through the use of neural network models and by including collateral reports.

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Intimate Partner Violence Risk Assessment Validation Study: The RAVE Study Practitioner Summary and Recommendations: Validation of Tools for Assessing Risk from Violent Intimate Partners

Cited by 25 publications

References 0 publications

Responding to intimate partner violence: Healthcare providers' current practices and views on integrating a safety decision aid into primary care settings

Responding to intimate partner violence: Healthcare providers' current practices and views on integrating a safety decision aid into primary care settings

Police Attempts to Predict Domestic Murder and Serious Assaults: Is Early Warning Possible Yet?

Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men

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