Juvenile Treatment Drug Court GAIN Data Issues SAMHSA / CSAT Treatment Drug Court Grantee Meeting Melissa Ives Kate Moritz June 10, 2009 Anaheim, CA.

Slides:



Advertisements
Similar presentations
We have developed CV easy management (CVem) a fast and effective fully automated software solution for effective and rapid management of all personnel.
Advertisements

Data Management Panel Melissa Ives, GAIN Coordinating Center, CHS; Jennifer Eckert, EAT-Red Bank, NJ Gillian Leichtling, EAT-Portland, OR Celica Mireles-ART,
Using Data to Inform Practice Michael L. Dennis, Ph.D. Chestnut Health Systems, Normal IL Presentation at SAMHSA/CSAT Satellite Session, “ Implementing.
The Main Profiles Of Treatment Planning Needs Among Adolescents Presenting For Substance Abuse Treatment Based On Cluster Analysis Rodney R. Funk, Michael.
1 Characteristics, Needs, Services and Outcomes of Juvenile Treatment Drug Courts compared to Adolescent Outpatient and Adult Treatment Drug Courts Melissa.
Access To Recovery III GPRA Training Welcome Introductions Agenda
CPH 509A Internship/Field Experience Preceptor Orientation and Answers to Frequently Asked Questions.
Predictors of Change in HIV Risk Factors for Adolescents Admitted to Substance Abuse Treatment Passetti, L. L., Garner, B. R., Funk, R., Godley, S. H.,
Client Profiles in the Offender Re- entry Program (ORP) and the Need to Address the Twin Issues of Trauma and Crime Michael Dennis, Ph.D. and Vinetha Belur,
Chapter 19 Methods Appendix GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available from
Trajectories of criminal behavior among adolescent substance users during treatment and thirty-month follow-up Ya-Fen Chan, Ph.D., Rod Funk, B.S., & Michael.
Trauma Issues with Specific Populations: Adolescents & Transition Age Youth OVERVIEW Michael Dennis, Ph.D. and Megan Catlin, M.S. Chestnut Health Systems,
Supportive Services for Veteran Families (SSVF) Data Bigger Picture Updated 5/22/14.
Team Decision Making and Self- Evaluation: Getting the Most Out of Your Database Anne K. Abramson & William C. Dawson Center for Social Services Research.
ISB Notice and preparing for the implementation of the new IAPT Data Standard Shaun Crowe Mental Health, Employment and IAPT Mental Health Collaborative.
VIBRANT MEDIA Online Marketing & Event Administration Solutions 11 March 2009.
 The Purpose of HMIS is NOT the generate Reports for your APR  The purpose of HMIs is to track a client’s progress through the Continuum of care from.
ADDICTIONS AND MENTAL HEALTH DIVISION Supported Employment Reporting and Data Sharing Wendy Chavez, MPA September 16, 2014 Developed By: Wendy Chavez,
Chapter 18 Other Special Topics GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available from
Community Development & Planning Grant Pre-Application Meeting April 17,
Briefing Book Slides on SAMHSA/CSAT 2011 GAIN Summary Analytic File: All Grantees GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems.
Louisiana Access to Recovery LA-ATR Understanding Addiction & Supporting Recovery Webinar Pastor Pythian Noah June 25, 2009.
STUDENT ASSISTANCE LIAISON ONLINE QUARTERLY REPORTING Guidance On Understanding and Completing the Quarterly Reporting Form.
AOD Use and Mental Health Disparities during Pregnancy and Postpartum Victoria H. Coleman, Ph.D. & Michael L. Dennis, Ph.D. Chestnut Health Systems, Bloomington,
2009 CSAT Dataset by Study ID Created by Chestnut Health Systems.
Patterns in Child Outcomes Summary Data: Cornelia Taylor, Lauren Barton, Donna Spiker September 19-21, 2011 Measuring and Improving Child and Family Outcomes.
Chapter 20 Briefing Slides Summary GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available from
Chapter 11 Subset of Overview by Mental Health Disorders GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available.
Evaluating a Research Report
Discovery Phase: where do we go from here? Co-directors contact information: Dr. Maureen Powers, Department of Cell Biology,
Recovery Support Services and Client Outcomes: What do the Data Tell Us? Recovery Community Services Program Grantee Meeting December 14, 2007.
Module 5: Data Collection. This training session contains information regarding: Audit Cycle Begins Audit Cycle Begins Questionnaire Administration Questionnaire.
CROSS-SYSTEMS COLLABORATION INITIATIVE Helpful and Promising Practices for Service Providers Supporting Individuals with Intellectual/Developmental Disabilities.
Adolescence and Substance Use by Rick Sampson, American Institutes for Research ( ) An Overview.
Chapter 15 Subset of Overview by Program GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available from
Introduction Introduction Alcohol Abuse Characteristics Results and Conclusions Results and Conclusions Analyses comparing primary substance of abuse indicated.
Unified Case Management Treatment Plan Training June 2008.
Health Disparities Webinar 2/28/2013 Michael L. Dennis, Chestnut Health Systems. Normal, IL Available from
Comprehensive Field Record. Introduction to the Training ● The slides will first show a picture of the section of the template that will be discussed.
Introduction Results and Conclusions On demographic variables, analyses revealed that ATR clients were more likely to be Hispanic and employed, whereas.
Chapter 6 Subset of Overview by Gender GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available from
Chapter 13 Subset of Overview by Crime and Violence GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available.
Child Welfare Title IV-E Waivers. Parental Substance Abuse and Child Maltreatment: Evaluation Results from the NH IV-E Waiver Project Glenda Kaufman Kantor,
Behavioral and Emotional Rating Scale - 2 Understanding and Sharing BERS-2 Information and Scoring with Parents, Caregivers and Youth May 1, 2012.
Comprehensive Field Record. Introduction to the Training ● The slides will first show a picture of the section of the template that will be discussed.
Barriers to Independence Among TANF Recipients: Comparing Caseworker Records & Client Surveys Correne Saunders Pamela C. Ovwigho Catherine E. Born Paper.
VHA Training for Staff Who Provide Information on Advance Directives and Assistance with Completing Advance Directives.
DHHS COE Meeting Agenda May 19, 2011 Welcome Introductions Contract Compliance Reporting Questions and Answers DHHS Open Windows Update.
Behavioral Health DATA BOOK A quarterly reference to community mental health and substance abuse services Fiscal Year 2015 Quarter 1 March 10, 2015
Chapter 9 Subset of Overview by Risk of Homelessness GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available.
Chapter 17 Subset of Overview by Type of Treatment GAIN Coordinating Center (11/21/2012). Normal, IL: Chestnut Health Systems. November Available.
Data Coordinators Conference – 2014 Laura Marroquin CASEWORKER/JCMS Specialist Everything New Data Coordinators Should Know.
PCOR Privacy and Security Research Scenario Initiative and Legal Analysis and Ethics Framework Development Welcome and Please Sign In »Please sign into.
1 Evaluation and Accountability of a Government Funded Program: Targeted Capacity Expansion Using Government Performance And Results Act Core Client Outcome.
DHHS COE Meeting Agenda February 16, 2011 Welcome Introductions Contract Compliance Reporting Questions and Answers DHHS Open Windows Update Group Exercise.
PCOR Privacy and Security Research Scenario Initiative and Legal Analysis and Ethics Framework Development Welcome and Please Sign In »Please sign into.
1 Data Quality Report Quality Assurance Report Live Data Download Site Datasets (SAS) Research Datasets Customized Cohort Reports Outcome Analytics Patient.
PCOR Privacy and Security Research Scenario Initiative and Legal Analysis and Ethics Framework Development Welcome and Please Sign In »Please sign into.
Reporter Training for High School RIO TM
Approaches to Linking Process and Outcome Data in a Cross-Site Evaluation Laura Elwyn, Ph.D. Kristin Stainbrook, Ph.D. American Evaluation Association.
A FRUIT AND VEGETABLE PRESCRIPTION PROGRAM
Kimberly Jeffries Leonard, Ph.D.
Welcome! To the ETS – Create Client Account & Maintenance
NYSDOH AIDS Institute Quality of Care Program eHIVQUAL
2018 NM Community Survey Data Entry Training
How Can I Use My Completeness Report to Improve Data Quality?
Reporter Training for High School RIOTM
Course Preparation Check List
TEXAS DSHS HIV Care services group
Recidivism Among DWI Offenders in New Mexico (Preliminary Results)
Presentation transcript:

Juvenile Treatment Drug Court GAIN Data Issues SAMHSA / CSAT Treatment Drug Court Grantee Meeting Melissa Ives Kate Moritz June 10, 2009 Anaheim, CA

Outline 1.Overview of current data: March 2009 JDTC/FDC data with YORP and CSAT Using your own GAIN data/Resources: Reminder of available GCC resources for evaluators A.Using the scales and variables files B.Review of current characteristics profile 3.Accessing CSAT GAIN data: Review of process for requesting cross-project data for publications, Available Datasets: A.Full GAIN data-Version 5 records only B.Summary analytic dataset Vertical C.Summary analytic dataset Horizontal

Growth in DC data set CSAT 2006 dataset, GAIN-I N = 79 –and 36 follow-ups (3m). CSAT 2007 dataset, GAIN-I N = 534 –and more than 700 follow-ups (3m-12m). CSAT 2008 dataset, GAIN-I N = 1,147 –and more than 1600 follow-ups (3m-12m). As of March 2009, GAIN-I N = 1,845 –and more than 1,600 follow-ups (3m-12m*). –more than doubled in 7 months! It is important to have HIGH follow-up rates –The goal is 80% or higher each wave. *9 and 12-month follow-ups are not required for Drug Court sites

Follow-up Rates for 3 and 6 month *(Of those) due for 3m wave **(Of those) due for 6m wave Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

Demographics *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset JTDC like AT: Gender, Age JTDC like YORP: Minority Status (Hispanic)

Years of Use *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

Index Admission Level of Care *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset JTDC like AT: Treatment Placement

Pattern of Comorbidity *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

Past Month Abstinence *Includes 2 Family Drug Court sites; +9m & 12m not required Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset JTDC: Same pattern of improved abstinence, lower severity

No Past Month Substance Problems *Includes 2 Family Drug Court sites; +9m & 12m not required Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

No Major Health Problems Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset *Includes 2 Family Drug Court sites; +9m & 12m not required

No Major Mental Health Problems Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset *Includes 2 Family Drug Court sites; +9m & 12m not required

No Illegal Activity Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset *Includes 2 Family Drug Court sites; +9m & 12m not required

No Family/Home Problems Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset *Includes 2 Family Drug Court sites; +9m & 12m not required

No problem or 50%+ Reduction on… (at last FU) *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

No problem or 50%+ Reduction on… (at last FU) *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

ASAM Treatment Planning Clusters *Includes 2 Family Drug Court sites Source: March 2009 YORP/JTDC, CSAT AT 2008 dataset

GRRS Treatment Planning Needs: Substance Use and Treatment Source: GI_GM_DrugCourt_033109_Horizontal

GRRS Treatment Planning Needs: Mental Health Source: GI_GM_DrugCourt_033109_Horizontal

GRRS Treatment Planning Needs: Physical Health Source: GI_GM_DrugCourt_033109_Horizontal

GRRS Treatment Planning Needs: Environment and Legal Environment Legal Source: GI_GM_DrugCourt_033109_Horizontal

GRRS Treatment Planning Needs: SES/Vocation Source: GI_GM_DrugCourt_033109_Horizontal

GRRS Treatment Planning Needs: HIV risk and Child issues Source: GI_GM_DrugCourt_033109_Horizontal

Intoxication (at intake) vs. Detox Treatment at 3 months (es=.06) *3+ on ASAM dimension B1 criteria Source: GI_GM_DrugCourt_033109_Horizontal Number in need at intake % with unmet need after 3 months How well sites are matching service based on need

Intoxication (at intake) vs. Detox Treatment at 3 months *3+ on ASAM dimension B1 criteria Source: GI_GM_DrugCourt_033109_Horizontal Higher values indicate more triage of services to those in need.

Physical Health problem (at intake) vs. Medical Treatment at 3 months *3+ on ASAM dimension B2 criteria Source: GI_GM_DrugCourt_033109_Horizontal

Mental Health Problem (at intake) vs. MH Treatment at 3 months *3+ on ASAM dimension B3 criteria Source: GI_GM_DrugCourt_033109_Horizontal

Tx Readiness Need (at intake) vs. Low Tx Motivation+ at 3 months *3+ on ASAM dimension B4 criteria Source: GI_GM_DrugCourt_033109_Horizontal

Relapse Potential (at intake) vs. Urine/Breathalyzer at 3 months *3+ on ASAM dimension B5 criteria Source: GI_GM_DrugCourt_033109_Horizontal

Recovery Environment (at intake) vs. Self Help at 3 months *3+ on ASAM dimension B6 criteria Source: GI_GM_DrugCourt_033109_Horizontal

Residential Treatment need (at intake) vs. 7+ Residential days at 3 months Source: GI_GM_DrugCourt_033109_Horizontal

Count of Unmet needs* by Program: Based on service area and placement recommendation Source: GI_GM_DrugCourt_033109_Horizontal *High Need (ASAM B1-B6,ResTx) & no treatment for those with 3m data and valid responses for need.

Count of Unmet needs* by Gender: Based on service area and placement recommendation Source: GI_GM_DrugCourt_033109_Horizontal *High Need (ASAM B1-B6,ResTx) & no treatment for those with 3m data and valid responses for need. Hidden slide

MH issues at intake vs. MH Treatment+ at 3 months Source: GI_GM_DrugCourt_033109_Horizontal Hidden slide

MH issues at intake vs. MH Treatment+ at 3 months Source: GI_GM_DrugCourt_033109_Horizontal

MH issues (victimization) at intake vs. MH Treatment+ at 3 months Source: GI_GM_DrugCourt_033109_Horizontal

HIV Risk at intake vs. HIV Prevention/Education at 3 months Source: GI_GM_DrugCourt_033109_Horizontal Hidden slide

HIV Risk at intake vs. HIV Prevention/Education at 3 months Source: GI_GM_DrugCourt_033109_Horizontal

Evaluator Or Analyst Adult & Adolescen t Norms FUL/TTL Reports Syntax & template files FTP Common Site LI Analytic Training Series Memos Site Profiles GAIN-I / M90 data Electronic Encyclopedia (GI S&V) Resources and Tools

Using Characteristics Profiles Profiles are updated quarterly (in January, April, July, October) for all CJ programs, posted on APSS site and ed to each PI. Profiles include: –Demographics –Substance use data –Comorbidity data –Risk data –Treatment information –Selected outcomes –Individual site graphs –Two site comparison graphs

Where can I get more help understanding characteristics profiles? Read documentation and descriptors first on introduction page. For specific questions, A teleconference or web conference can be conducted to give targeted training on using characteristics reports, or FUL/TTL reports or anything else your site is having questions on regarding managing or using data.

Using Site data Each site may use it’s own local data for analysis. Sites may sign a Data Sharing Agreement with one or more other sites and share data for cross-site analysis. Fully prepared datasets are provided by the GCC Data Team to each site on a quarterly basis –(JTDC data returned in January, April, July and October) The FTP Common Site has SPSS syntax and information to help export and prepare local data. For more help, contact

Process for accessing GAIN data Submit abstract to for feasibility After feasibility review and edits, abstracts are distributed to all PI’s via listserv. PI’s have 2 weeks to review and respond or participation is assumed. CSAT project officer gives final approval. Once this step is complete, the GCC Evaluation team will create dataset. For analyses on general topics using data from programs that are no longer in the field or if sites are not identified and using the full CSAT AT dataset of 17,000+ cases, PI distribution step is not needed but all other steps are.

Creating an abstract A structured abstract (maximum of 3 pages) containing the following information: 1. Title 2. Lead author 3. Other (potential) authors 4. Proposed forum(s) (journal or conference) 5. Target Dates 6. Data sources (what data set, data and/or time periods) 7. Objectives or questions to be addressed 8. Methods/Design/Main analyses 9. Variables to be created 10. Relevance to field

Abstract Planning and Evaluation Resources CSAT CJ Publication Policy FTP Common Site – Evaluator Folder ftp://data.chestnut.org ftp://data.chestnut.org Username: Common Password: public GAIN Website: –Accessing GAIN Data – LI Training Series Memo –Data Sharing Agreements –GAIN-I Scales and Variables File Determine purpose, interpretations, availability, syntax –Norms for adolescents and adults APSS website –Quarterly Follow-up, Treatment Transition reports –Site Characteristics Profiles tables and charts

What happens next…. Feasibility Review is completed. Abstract is updated if needed based on the results of the Feasibility Review. Final Abstract is presented to those from whom permission is sought (current grantees, CSAT). Grantees are provided time on the conference call to ask questions of the author(s). Grantees have 2 weeks after the conference call to decline participation. Data sharing agreement (DSA) is completed (can be done concurrently with above or in advance). A de-identified dataset is provided to the evaluator or analyst. Do the work and include the acknowledgement! Please stay in contact if you have questions and send us a copy of the final presentation or article!

GAIN datasets Full GAIN Version 5 dataset –Includes all GAIN records received. –Includes all GAIN variables and calculated items. –Doesn’t include ATM or CYT data –Doesn’t include FUL, TTL, WAI or TxSI data Summary Analytic dataset –Subset to records with planned GAIN Follow-up (not GPRA only), with GAIN-I data (no ‘loose’ M90s), with FUL data (FUPLAN=1), sites with >80% of GAIN data corresponding to FUL and TTL records, clients at or past the 3-month follow-up window. –Subset variables to Identifiers, Demographics, Days/Times variables, Scales, Indices, and calculated variables used in reports and analyses. –Matched with FUL, TTL, WAI/TxSI data (on the intake record.) –Does not include individual symptoms.

Horizontal vs. Vertical file WHEN to use –When ATM and CYT data should be used – If comparing to newer studies, be aware of version differences in scales and indices, –When WCG measures are needed (uses FUL and TTL data), or costs are needed. –When TxSI or WAI data are to be used, –When planned follow-up and opportunity for follow-up, accurate data, standard description are desired, –Stacked Vertical File: When NOT looking at individual change Example: running mixed linear models over time and want to have a random intercept –Spread Horizontal File: When individual change needs to be calculated and used

Types of Measures Scale: a set of “symptoms” or items that are inter- correlated (e.g., dependence, depression) where we are interested in the pattern (i.e. common variance) Index: a set of items that may not be directly related but add up to predict (e.g., sources of stress, barriers to treatment, expenses) Ratio Estimators: one measure divided by another (e.g., percent of unprotected sex acts) Status measures: a categorical status based on a single question or created across multiple (e.g., vocational status, housing status) Survival: Time to first event (e.g., time to first use)

Interpretative Cut-Points Definition of low, moderate and high clinical significance bands to aid interpretation and decision making (scale name + “g” for group) Useful for defining need at both the client and program level Basis: –DSM or other clinical standards where available (e.g., clinical is 3+/7 dependence) –50th & 90th percentile for common issues (e.g., days of alcohol use) –1+ and median of 1+ for zero saturated (more than half) and right skewed variables Reverse-coded if “up” is low clinical significance (e.g. Treatment Motivation)

Other Ways to get Help 1.Use our support lines : for GAIN and QA/certification questions; for software questions: for data submission/data questions: for evaluation/analysis questions: 2.Contact GCC DC Project Coordinator Kate Moritz

Full presentation is available on the GAIN website (under Research Presentations and Posters) or on the APSS\DrugCourt website (under Major Meeting Materials)