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; 1 st 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 ( 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 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

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 County 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: Descriptive Analysis On Program Population

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) 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: Pre-Post Analysis on Recidivism

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? Data Analysis: Cross System Impact Analysis

Questions? Contacts John Petrila: Jessica Mitchell: Diane Haynes: Website: