Training Institutes 2012 - National Technical Assistance Center for ...

INSTITUTES
• An assistant prosecutor’s perspective on the benefits of diverting juveniles from the formal delinquency system and
the nontraditional role prosecutors can play in this process
• The components of an operational delinquency diversion program (“Correct Course”)
An exercise will allow participants to apply the model and strategies for juvenile justice system redesign in their
communities. A video will describe a family’s experience with the Juvenile Inventory for Functioning (JIFF) assessment
instrument and the process of engagement, computerized assessment, and alignment of services to prevent youth from
penetrating the formal juvenile system. Participants will leave the Institute with best-practice strategies that they would
like to consider implementing in their home states and communities. The faculty team for the session will offer the
perspectives of a juvenile justice administrator, Chief Juvenile Prosecutor, private agency executives, and a youth that
has experienced the system.
MODERATOR/PRESENTER: Daniel Chaney, M.S.W., Director, Juvenile Services Division, Wayne County Children
and Family Services, Detroit, MI
Robert Heimbuch, J.D., Chief, Juvenile Division, Wayne County Prosecutor’s Office, Detroit, MI
Cynthia Smith, M.S.W., Director/CEO, Juvenile Assessment Center, Detroit, MI
Alice Thompson, M.S.W., CEO, Black Family Development, Inc., Detroit, MI
INSTITUTE #14 1:30 PM THURSDAY • 8:30 AM SATURDAY • OSCEOLA 5-6
How to Use Data Dashboards to Improve Policy, Program, and Practice
OBJECTIVES—Participants will learn:
1. To identify the relevant data points necessary to measure policy implementation, program management, and practice
2. To implement concrete steps to create meaningful program management and practice-level dashboard tools
3. To analyze key components of utility-focused data reports
4. To use dashboards and other data reports to create professional development plans
5. To convert data reports and dashboards into active quality improvement processes
This Institute will focus on the development, integration, and use of data rich tools in management and supervisory
practice in order to support policy implementation, program results, practitioner competencies, and youth and family
outcomes. Public administrators, program directors, and program supervisors charged with implementing new policies
and standards of practice within systems of care often find that after the initial implementation, there is a struggle to
maintain new standards and overcome inertia that can lead to a return to prior, more familiar standards of practice.
Faculty will highlight a data-driven policy and program management approach. Coupled with quality improvement, this
approach is designed to support the implementation and sustainability of system reforms and improved outcomes, while
reducing practice-based inertia. In addition, faculty will focus on the development of user-specific dashboards and data
tools that provide a mechanism for actively managing the implementation and maintenance of policy and program
reforms by tracking quality, fidelity, and outcomes. The use of real time data, technology, and quality improvement
processes will also be presented as necessary policy, program, and practice management tools.
The approaches to be presented are based on work in Erie County, New York’s system of care that demonstrates how
data-supported policy, program, and practice management, coupled with quality improvement strategies, can support the
implementation and management of systems of care. Data dashboards offer useful tools for policy makers, managers,
practitioners, and community members in their efforts to improve systems, practice, and outcomes.
Specific topics to be covered include:
• Data-driven policy and program development
• Utilization-focused data and evaluation
• How to create and use data dashboards including identification of dashboard users
• How to determine what data is needed, data inventories, and data development
• Management via data including data collection vs. overload, data-driven supervision and development plans, and
measuring worker practice
46 Training Institutes 2012