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Supported Implementation of the
Predict Align Prevent Program
PREVENT
PHASE
PREDICT
PHASE
DURING THE PREDICT PHASE, we support child maltreatment data “owners” in identifying discrete geographic locations where the risk of future child maltreatment is high based on environmental factors.
ALIGN
PHASE
DURING THE ALIGN PHASE
after a particular location or locations for prevention efforts are selected, neighborhood health and safety measures are baselined and a strategic plan for cross-sector prevention efforts is developed collaboratively.
DURING THE PREVENT PHASE
specific prevention program recommendations are collaboratively developed based on the unique needs of the area, execution of prevention strategies is supported, and accountability and responsiveness to ongoing health and safety measures are encouraged.
The Recommended
Predict Align Prevent Methodology
Sample
Program Deliverables
PREDICT
Research Protocol
Psychographic profiling of high-risk locations
Interagency Data Sharing Agreements
Visualizations
Geospatial Risk and Protecive Factor Modeling
Presentation materials for Align phase
Community Services, Assets, and Gaps Analysis
Baseline community health and safety metricss
ALIGN
Executive Stakeholder Engagement
Collaborative Prevention Strategy
Identify and train local cross-sector champions
Prevention campaigns, education, and policy materials
Alignment of existing coalitions, organizations, and service providers around data from the Predict phase
Proposal submission for funding for gaps in services and infrastructure
PREVENT
Report on the alignment of services, reach of campaigns and education, change in professional response to outcry or risk, the accuracy of mandatory reporters, etc.
Ongoing analysis, updates, and strategy support for implementation sites
Report on implementation of new prevention programs
Publication of free and open peer-reviewed manuscripts
Re-measure and interpret community health and safety metrics in 6-month intervals to evaluate the effectiveness of align and prevent initiatives at a population level
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