Using Data to Improve Effectiveness and Increase Evidence-Based Implementation in Yamhill County Oregon Justice Reinvestment Summit April 6, 2015 Presented by: Sheriff Tim Svenson, Yamhill County Ted Smietana, Director, Yamhill County Department of Community Justice Jessica Beach, Corrections Manager, Yamhill County Department of Community Justice Tom O’Connor, CEO, Transforming Corrections 0

Yamhill County: Evidence-Based Decision Making (EBDM) NIC selects Yamhill to Implement Evidence-Based Decision Making Yamhill sets up an EBDM collaborative policy team:  County Commissioners  Judiciary  Victim Services  Prosecution  Defense  Sheriff-Jail  Behavioral and Mental Health  Community Corrections  Community members  Information & Technology 1

1.Professional judgment is enhanced when informed by evidence-based knowledge. 2.Every point in the system is an opportunity for harm reduction. 3.Systems have better outcomes when they operate collaboratively. 4.Systems learn and improve when they base decisions on the collection, analysis, and use of data and information. Policy team agrees to use four principles: 2

3 The Power of Implementation Science & Teams Without Implementation Teams 14% of innovations used in practice and this took 17 years 1 With Implementation Teams about 80% of sites met fidelity criteria after 5 years 2 1.(Balas and Boren, 2000; and Green and Seifert (2005); 2. (Aladjem & Borman, 2006);

4 The Power of Implementation Teams

4. Systems Intervention © Fixsen & Blase, Performance Assessment 3. Staff Coaching 2. Staff Training 1.Staff Selection 5. Facilitative Administration 6. Decision Support Data Systems Competency Drivers Organization Drivers Leadership 7 Implementation Drivers Improved outcomes Well defined and effective strategy TechnicalAdaptive 5

Policy Team Focused on Four Areas 6 Policy Team 1. Special Needs 2. Pre-trial Justice 3. Sentencing 4. Community Corrections Program s

Pretrial Justice Program Examples of the Collection, Analysis and Use of Data to Make Evidence-Based Decisions 7

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The VPRAI did not predict public safety outcomes 9

The PSC did predict public safety outcomes 10

11 Most pretrial defendants fall into the lowest PSC risk category

The PSC predicts public safety outcomes for every type of release 12

Pretrial Justice Next Steps: Use data to inform decisions that will increase: the release rate of lower risk defendants the detention rate of higher risk defendants the cite and release rate by patrol deputies for lower risk defendants the pretrial court appearance rate from 83% to 95% the no new arrest rate from 87% to 95% 13

Data Next Steps Community Programs: Continue data collection and analysis Pretrial Justice Program: Automate the decision-support data system Sentencing: Automate the decision-support data system Data : Use JRP state funding to increase data analysis capacity 14