Evaluation of the Office on Violence Against Women's Domestic Violence Homicide Prevention Demonstrative Initiative

NCT02021838 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 666

Last updated 2021-03-24

No results posted yet for this study

Summary

In collaboration with the National Institute of Justice (NIJ) and the Office for Violence Against Women (OVW) the Yale University team will evaluate the implementation process and impact of the U.S. Department of Justice's Domestic Violence Homicide Prevention Demonstration Initiative. This evaluation seeks to draw critical findings and potential lessons from the combined experience of the sites including: 1) how the models work in different communities; 2) the barriers and facilitators to implementing the models; and 3) outcomes of the model delivery. The evaluation team will also disseminate the findings with the goal of informing replication.

Conditions

  • Domestic Violence

Interventions

OTHER

Lethality Assessment Program

Law enforcement officers conduct risk screen of domestic violence victims, if high risk victims are referred to domestic violence services.

OTHER

Domestic Violence High Risk Team

Law enforcement officers conduct risk screen of domestic violence victims, if high risk victims are referred to domestic violence services and a team who monitors the clinical and criminal justice progress.

Sponsors & Collaborators

Principal Investigators

  • Joy S Kaufman, PhD · Yale University

  • Christopher Maxwell, PhD · Michigan State University

  • Tami Sullivan, PhD · Yale University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2014-01-01
Primary Completion
2020-12-31
Completion
2020-12-31

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02021838 on ClinicalTrials.gov