Transcript Document

John Petrila, J.D., LL.M. - Director
When:
Florida Legislature created the Florida Criminal Justice
Mental Health & Substance Abuse Technical Assistance
Center (TAC), in 2007, when they enacted the Criminal
Justice Mental Health and Substance Abuse Re-investment
Grant Program
Why:
To address the pressing social issue of the volume and
number of people with mental illnesses who come into the
criminal justice system each year
TAC assists Counties that have awards from the state and also State
Policy Makers in a variety of areas:
• Planning
• Collection of data and analysis of data
• Creation of easy to use data bases
• Expertise on specific practices
• Clearing house for information on variety of issues that effect
questions on mental health and criminal justice
Sequential Intercept Modeling
(Created by the SAMHSA’s GAINS Center)
Is a process where:
• Stake holders (State, & local government funders and program
administrators in the areas of criminal justice and behavioral health
providers) come together
• Identify people with behavioral health needs who come in contact with
and, how they flow through the criminal justice system
• Goal of identifying:
• Underused resources
• Improve early identification of people with co-occurring disorders
coming into contact with the criminal justice system
• Increase linkages to needed services and programs
• Reduce the likelihood of recycling through the criminal justice
system
• Improve quality of life for people in the community
Intercept Map
Intercept 1: Law Enforcement
911; Local Law Enforcement
Intercept 2: Initial Detention/Initial Court Hearings
Initial Detention; 1st Appearance in Court
Intercept 3: Jails/Courts
Jail; Specialty Courts; Dispositional Court
Intercept 4: Re-entry
Jail Re-entry; Prison Re-entry
Intercept 5: Community Corrections
Probation; Parole
Data: Statistics, Data Review, & Data Analysis
Data Statistics
• Website (http://www.floridatac.org/Default.aspx)
• Articles, Studies, Best Practices
Data Review (Program Data Collection Process)
• Court data
• Arrest data
• Program data
• Referral data
Data Analysis (Policy, Program Planning, and Decision Making)
• Descriptive analysis on county population
• Descriptive analysis on program population
• Pre-Post analysis on recidivism
• Cross system Impact analysis
Data Review
 This is the review and discussion on the data collection process at the program.
 What the data can tell us
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Who is in the program? vs..
How long has an individual been in the program, number of re-starts, sanctions, time
to reaching of each goals/steps of the program
 Collection of data over time rather than at a point in time
 Latest pass/fail of urine analysis vs..
 All urine analysis, when they were taken and results
 Limiting errors or problems in the data
 St. Paul’s Program vs..
 Saint Paul’s Prog.
 Removing duplication of data
 Using full name on all data records vs..
 Using unique ID and linking to name when necessary
 Database compared to Excel spreadsheets
 Ability to generate regular reports
 Ability to run complicated analysis
Data Analysis: Descriptive Analysis On
County Population
How big is the issue of those with behavioral health needs
interacting with the criminal justice system in our
county/circuit?
(Analysis is done through the use of administrative Data)
• How many in the county have received mental heath
services (DCF SAMHIS & Medicaid claim data)
• How many in the county have received substance abuse
services (DCF SAMHIS & Medicaid claim data)
• How many in the county have received both mental
health and substance abuse services (DCF SAMHIS &
Medicaid claim data)
• How many in the county have received both mental
health and substance abuse services and been arrested
(FDLE arrest data )
Data Analysis: Descriptive
Analysis On Program Population
What do the people and patterns of service in our program
look like?
(Analysis done using in-house court, arrest, program,
referral data as well as secondary administrative data)
• Who is getting what referral and/or services? (in-house
court, program, and referral, Medicaid claim, & DCF
SAMHIS data)
• What is the average number of arrests prior to entering
the program? (in-house arrest, & FDLE data)
• How many received mental health and/or substance
abuse services prior to entering the program? (Medicaid
claim & DCF SAMHIS data)
Data Analysis: Pre-Post Analysis on
Recidivism
Who is successfully completing the program?
Do the recidivism rates improve for those who complete
the program compared to those who do not enter or do
not complete the program?
(Analysis is done using in-house program data as well as
secondary administrative data)
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Do arrest rates vary?
Does time to arrest vary?
Does previous arrest history impact recidivism?
Does previous type of charges impact recidivism?
Does intensity of service received impact
recidivism?
• Does demographic, behavioral diagnosis impact
recidivism?
Data Analysis: Cross System Impact
Analysis
How many people with co-occurring diagnosis are also being
arrested, and/or Baker Acted, been involved in the
Department of Juvenile Justice as youths, and/or have had
Medicaid enrollment?
(Analysis is done using Secondary Administrative and
Program data)
• Does previous interaction, intensity of previous interaction
with Baker Act, DJJ impact recidivism rates?
• Does the time to enrollment into Medicaid and/or services
impact recidivism rates?
Questions?
Contacts
John Petrila: [email protected]
Jessica Mitchell: [email protected]
Diane Haynes: [email protected]
Website: http://www.floridatac.org/Default.aspx