Evaluating the Impact of Adding the Reclaiming Futures Approach to Juvenile Treatment Drug Courts Michael L. Dennis, Ph.D., Kate Moritz, M.A., Rachel Meckley, Nora Jones, M.S., Chestnut Health Systems, Normal, IL Susan Richardson, Cora Crary, Laura Nissen, Ph.D., Reclaiming Futures National Program Office, Portland State, University, Portland, OR Mac Prichard, M.P.A., Liz Wu, Prichard Communications, Portland, OR May 8, 2012 Report to Kristin Schubert, Robert Woods Johnson Foundation, Reclaiming Futures; Robert Vincent, Substance Abuse and Mental Health Services Administration; and Gwendolyn Williams, Office of Juvenile Justice and Delinquency Prevention,1 Office of Justice Programs Click Acknowledgement to edit Master title style 2 Analysis for this presentation was supported by the Center for Substance Abuse Treatment (CSAT), Substance Abuse and Mental Health Services Administration (SAMHSA) contract 270-07-0191 using data provided by 27 Juvenile Treatment Drug Court (JTDC) grantees funded by SAMHSA , Office of Juvenile Justice and Delinquency Prevention (OJJDP), and/or Reclaiming Futures (TI17433, TI17434, TI17446, TI17475, TI17484, TI17476, TI17486, TI17490, TI17517, TI17523, TI17535; 655371, 655372, 655373, (TI22838, TI22856, TI22874, TI22907, TI23025, TI23037, TI20921, TI20925, TI20920, TI20924, TI20938, TI20941) The authors thank these grantees and their participants for agreeing to share their data to support this secondary analysis as well as the following people for assistance in preparing and/or feedback on the presentation: Jimmy Carlton, Michael French, Mark Fulop, Lori Howell, Pamela Ihnes, Rachel Kohlbecker, Kathryn McCollister, Daniel Merrigan, Scott Olsen. The opinions about this data are those of the authors and do not reflect official positions of the government or individual grantees. Please direct correspondence to Michael L. Dennis, Chestnut Health Systems, 448 Wylie Drive, Normal, IL 61701, mdennis@chestnut.org 309-451-7801. This presentation is available at www.gaincc.org/presentations Click to edit Purpose Master title style 3 1. Illustrate why it is so important to intervene with juvenile drug users 2. Review what we know about juvenile treatment drug courts (JTDC) so far 3. Compare JTDC to a newer Reclaiming Futures version of JTDC in terms of their impact on substance use, recovery, emotional problems, illegal activity and costs to society Click to edit Master title style 4 Background Adolescence is the AgeMaster of Onset Click to edit title style 5 100 90 80 70 60 Over 90% of use and problems start between the ages of 12-20 People with drug dependence die an average of 22.5 years sooner than those without a diagnosis It takes decades before most recover or die Severity Category Other drug or heavy alcohol use in the past year 50 40 Alcohol or Drug Use (AOD) Abuse or Dependence in the past year 20 10 0 65+ 50-64 35-49 30-34 21-29 18-20 16-17 14-15 12-13 Percentage 30 Age Source: 2002 NSDUH and Dennis & Scott, 2007, Neumark et al., 2000 Adolescence Use to Range of Problems Click toRelated edit Master title style 6 Source: Dennis & McGeary, 1999; OAS, 1995 6 Other Life Course to Focus on Adolescents Click toReasons edit Master title style 7 People who start using under age 15 use 60% more years than those who start over age 18 Entering treatment within the first 9 years of initial use leads to 57% fewer years of substance use than those who do not start treatment until after 20 years of use Relapse is common and it takes an average of 3 to 4 treatment admissions over 8 to 9 years before half reach recovery Of all people with abuse or dependence 2/3rds do eventually reach a state of recovery Monitoring and early re-intervention with adults has been shown to cut the time from relapse to readmission by 65%, increasing abstinence and improving long term outcomes Source: Dennis et al., 2005, 2007; Scott & Dennis 2009 What Treatment? Click to edit Is Master title style 8 Motivational interviewing and other protocols to help them understand how their problems are related to their substance use and that they are solvable Detoxification and medication to reduce pain/risk of withdrawal and relapse, including tobacco cessation Evaluation of antecedents and consequences of use Group, individual or family outpatient including relapse prevention planning More systemic family approaches Proactive urine monitoring Motivational incentives / contingency management Residential, intensive outpatient (IOP) and other types of structured environments to reduce short term risk of relapse Access to communities of recovery for long term support, including 12-step, recovery coaches, recovery schools, recovery housing, workplace programs Continuing care, phases for multiple admission The Treatment Gapstyle Click to edit Master title 9 Over 88% of adolescent and young adult treatment and over 50% of adult treatment is publicly funded Few Get Treatment: 1 in 20 adolescents, 1 in 18 young adults, 1 in 11 adults 25% Much of the private funding is limited to 30 days or less and authorized day by day or week by week 20.1% 20% 15% 10% 7.4% 7.0% 5% 1.1% 0.4% 0.6% 0% 12 to 17 18 to 25 Abuse or Dependence in past year 26 or older Treatment in past year Source: Substance Abuse and Mental Health Services Administration, Office of Applied Studies (2012). National Survey on Drug Use and Health, 2009. [Computer file] ICPSR29621-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-02-10. doi:10.3886/ICPSR29621.v2. Retrieved from http://www.icpsr.umich.edu/icpsrweb/SAMHDA/studies/29621/detail . Other Problems Click toWith edit Master the U.S.title Treatment style System 10 Less than 75% stay the 90 days recommended by NIDA (half less than 50 days) Less than half are positively discharged Less than 10% leaving higher levels of care are transferred to outpatient continuing care The majority of programs do NOT use standardized assessment, evidenced-based treatment, track the clinical fidelity of the treatment they provide, or monitor their own performance in terms of client outcomes Average staff education is an Associate Degree Staff stay on the job an average of 2 years Source: Institute of Medicine (2006). Improving the Quality of Health Care for Mental and Substance-Use Conditions . National Academy Press. Retrieved from http://www.nap.edu/catalog.php?record_id=11470 The Cost of Treatment Episode vs.style Consequences Click to edit Master title Screening & Brief Inter.(1-2 days) Outpatient (18 weeks) In-prison Therap. Com. (28 weeks) Intensive Outpatient (12 weeks) Adolescent Outpatient (12 weeks) Treatment Drug Court (46 weeks) Methadone Maintenance (87 weeks) Residential (13 weeks) Therapeutic Community (33 weeks) $70,000 $60,000 $50,000 $40,000 $30,000 $20,000 $0 SBIRT models popular due to ease of implementation and low cost $10,000 11 $407 • $750 per night in Medical Detox $1,132 • $1,115 per night in hospital $1,249 • $13,000 per week in intensive $1,384 care for premature baby $1,517 • $27,000 per robbery • $67,000 per assault $2,486 $4,277 $10,228 $14,818 $22,000 / year to incarcerate an adult $30,000/ child-year in foster care $70,000/year to keep a child in detention Source: French et al., 2008; Chandler et al., 2009; Capriccioso, 2004 in 2009 dollars Return on Investment Click to edit Master title(ROI) style 12 • Substance abuse treatment has been shown to have a ROI within the year of between $1.28 to $7.26 per dollar invested • GAO’s recent review of 11 drug court studies found that the net benefit ranged from positive $47,852 to negative $7,108 per participant. • Best estimates are that Treatment Drug Courts have an average ROI of $2.14 to $3.69 per dollar invested This also means that for every dollar treatment is cut, it costs society more money than was saved within the same year Source: Bhati et al., (2008); Ettner et al., (2006), GAO (2012), Lee et al (2012) Click to edit Master title style Juvenile Justice System and Substance Use 13 About half of the youth in the juvenile justice system have drug related problems (Office of Juvenile Justice and Delinquency Prevention (OJJDP), 2001; Teplin et al., 2002). Juvenile justice systems are the leading source of referral among adolescents entering treatment for substance use problems (Dennis et al., 2003; Dennis, White & Ives, 2009). By late 2004, there were 357 juvenile treatment drug courts (JTDC) and the number of courts has continued to grow at a rate of 30-50% per year. Source: Dennis, White & Ives, 2009 Recommended Components JTDC Click to edit Master title style 14 1. Formal screening process for early identification and referral for substance use and other disorders/needs 2. Multidimensional standardized assessment to guide clinical decision-making related to diagnosis, treatment planning, placement and outcome monitoring 3. Interdisciplinary-treatment drug court team 4. Comprehensive non-adversarial team-developed treatment plan, including youth and family 5. Continuum of substance-abuse treatment and other rehabilitative services to address the youths needs 6. Use of evidence-based treatment practices Recommended Components Click to edit Master titleJTDC style(cont.) 15 6. Monitoring progress through urine screens and weekly interdisciplinary-treatment drug court team staffings 7. Feedback to the judge followed by graduated performancebased rewards and sanctions 8. Reducing judicial involvement from weekly to monthly with evidence of favorable behavior change over a year or longer 9. Advanced agreement between parties on how on assessment information will be used to avoid selfincrimination 10. Use of information technology to connect parties and proactively monitor implementation at the client and program level Source: National Association of Drug Court Professionals, 1997; Henggeler et al., 2006; Ives et al., 2010. Level of Click Evidenced to editisMaster Available titleon style Drug Courts 16 Beyond a Reasonable Doubt Clear and Convincing Evidence Preponderance of the Evidence Probable Cause Reasonable Suspicion STRONGER Law Science Meta Analyses of Experiments/ Quasi Experiments (Summary v Predictive, Specificity, Replicated, Consistency) Dismantling/ Matching study (What worked for whom) Experimental Studies (Multi-site, Independent, Replicated, Fidelity, Consistency) Quasi-Experiments (Quality of Matching, Multisite, Independent, Replicated, Consistency) Pre-Post (multiple waves), Expert Consensus Correlation and Observational studies Case Studies, Focus Groups Pre-data Theories, Logic Models Anecdotes, Analogies Source: Marlowe 2008, Ives et al 2010 Level of Click Evidenced to editisMaster Available titleon style Drug Courts 17 Beyond a Reasonable Doubt Clear and Convincing Evidence Preponderance of the Evidence Probable Cause Reasonable Suspicion STRONGER Law Science Adult Analyses Drug Treatment Courts: 5 Quasi meta analyses Meta of Experiments/ ofExperiments 76 studies found crimevreduced 7-26% with (Summary Predictive, Specificity, $1.74 to $6.32 return on investment Replicated, Consistency) Dismantling/ Matching (What worked for DWI Treatment Courts:study one quasi experiment and five observational studies positive findings whom) Experimental Studies (Multi-site, Independent, Family Drug Treatment Courts: one multisite Replicated, Fidelity, Consistency) quasi experiment with positive findings for Quasi-Experiments parent and child (Quality of Matching, Multisite, Independent, Replicated, Consistency) Pre-Post waves),Courts Expert–Consensus Juvenile (multiple Drug Treatment one 2006 Correlation studies quasiexperiment,and oneObservational 2010 large multisite Case Studies, &Focus Groups experiment, several small studies with similar or betterTheories, effects than regular adolescent Pre-data Logic Models outpatient Analogies treatment Anecdotes, Source: Marlowe 2008, Ives et al 2010 JuvenileClick Treatment Court to edit Drug Master titleEffectiveness style 18 Low levels of successful program completion among youths in drug courts was noticeable in several early studies (Applegate & Santana, 2000; Miller, Scocas & O’Connell, 1998; Rodriguez & Webb, 2004) JTDC was found to be more effective than traditional family court with community service in reducing adolescent substance abuse (particularly when using evidence-based treatment) and criminal involvement during treatment (Henggeler et al., 2006) JTDC youth did as well or better than matched youth treated in community based treatment (Sloan, Smykla & Rush, 2004; Ives et al., 2010) But still much room for improvement Click to edit Master title style 19 Methods Juvenile Treatment Court (JTDC) Click to Drug edit Master title Grants style (n=1,934) 20 Juvenile Treatment Drug Court (DC) – Original cohort of 11 CSAT grantee sites using the GAIN in Laredo, TX; San Antonio, TX; Belmont, CA; Tarzana, CA; Pontiac, MI; San Jose, CA; Austin, TX; Peabody, MA; Providence, RI; Detroit, MI; and Philadelphia, PA – Intake data collected from these sites on N=1,771 adolescents between January 2006 through March 2009 with 1+ follow-up at 3, 6, and 12-months post intake Juvenile Treatment Drug Court (JTDC) – Cohort of 6 CSAT grantee sites using the GAIN in San Antonio, TX; Seattle, WA; San Rafael, CA; Buffalo, NY; Box Elder, MT; and Viera, FL – Intake data collected from these sites on N=163 Adolescents between January and November 2011 with 1+ follow-up at 3, 6, and 12-months post intake Reclaiming Futures JTDC (RF-JTDC) Click to edit Master titleGrants style (n=811) 21 Reclaiming Futures – Office of Juvenile Justice and Delinquency Prevention (RF-OJJDP) – Cohort of 3 grantee sites using the GAIN in Greene County, MO; Hocking County, OH; and Nassau County, NY – Intake data collected from these sites on N=457 adolescents between January 2008 through December 2011 with 1+ follow-up at 3, 6, and 12-months post intake Reclaiming Futures – Juvenile Drug Court (RF-JDC) – Cohort of 6 grantee sites using the GAIN in Hardin County, OH; Snohomish County, WA; Travis County, TX; Ventura County, CA; Cherokee Nation, OK; and Denver, CO – Intake data collected from these sites on N=354 adolescents between January 2010 through December 2011 with 1+ follow-up at 3, 6, and 12-months post intake ClickGAIN to edit Master title style Initial (GAIN-I) 22 Administration Time: Core version 60-90 minutes; full version 110140 minutes (depending on severity) Training Requirements: 3.5 days (train the trainer) plus recommend formal certification program (Administration certification within 3 months of training; Local Trainer certification within 6 months of training); advanced clinical interpretation recommended for clinical supervisors and lead clinicians Mode: Generally staff-administered on computer (can be done on paper or self-administered with proctor) Purpose: Designed to provide a standardized biopsychosocial for people presenting to a substance abuse treatment using DSM-IV for diagnosis and ASAM for placement and needing to meet common requirements (CARF, COA, JCAHO, insurance, CDS/TEDS, Medicaid, CSAT, NIDA) for assessment, diagnosis, placement, treatment planning, accreditation, performance/outcome monitoring, economic analysis, program planning, and supporting referral/communications with other systems GAIN ClickInitial to edit(GAIN-I) Master(continued) title style 23 Scales: The GAIN-I has 9 sections (access to care, substance use, physical health, risk and protective behaviors, mental health, recovery environment, legal, vocational, and staff ratings) that include 103 long (alpha over .9) and short (alpha over .7) scales, summative indices, and over 3,000 created variables to support clinical decision-making and evaluation. It is also modularized to support customization. Response Set: Breadth (past-year symptom counts for behavior and lifetime for utilization), recency (48 hours, 3-7 days, 1-4 weeks, 2-3 months, 4-12 months, 1+ years, never), and prevalence (past 90 days); patient and staff ratings Interpretation: – Items can be used individually or to create specific diagnostic or treatment planning statements – Items can be summed into scales or indices for each behavior problem or type of service utilization – All scales, indices, and selected individual items have interpretative cut points to facilitate clinical interpretation and decision making Society Click toCost editto Master title style 24 Costs of Service Utilization (conservative) – The frequency of using tangible services (e.g., health care utilization, days in detention, probation, parole, days of missed school) in the 12 months before and after intake valued by economists (French et al., 2003; Salomé et al., 2003), adjusted for inflation to 2010 dollars and summed Costs of Crime (tangible & intangible) – The frequency of committing crimes (e.g., property crime, interpersonal crime, drug/other crime) in the 12 months before and after intake valued on tangible and intangible costs by economists (McCollister et al., 2010), adjusted for inflation to 2010 dollars and summed Service Click Utilization Costs (conservative) to editUnit Master title style 25 Description Inpatient hospital day Emergency room visit Outpatient clinic/doctor’s office visit Nights spent in hospital Times gone to emergency room Times seen MD in office or clinic Days bothered by any health problems Days bothered by psychological problems How many days in detox Nights in residential for AOD use Days in Intensive outpatient program for AOD use Times did you go to regular outpatient program Days missed school or training for any reason How many times arrested Days on probation Days on parole Days in jail/prison/detention Days detention/jail Unit Days Visits Visits Nights Times Times Days Days Days Nights Days Times Days Times Days Days Days Days Cost in 2010$ $1,432.81 $ 269.87 $ 76.83 $1,432.81 $ 269.87 $ 76.83 $ 25.63 $ 9.90 $ 259.00 $ 151.66 $ 104.19 $ 280.70 $ 18.38 $2,125.81 $ 5.76 $ 18.59 $ 81.06 $ 113.60 CostClick of Crime & intangible) to edit(tangible Master title style 26 Offense Murder Rape/sexual assault Aggravated assault Robbery Motor vehicle theft Arson Household burglary Larceny/theft Stolen property Vandalism Forgery and counterfeiting Embezzlement Fraud Tangible\a $1,294,788 $41,775 $19,787 $21,672 $10,669 $16,638 $ 6,249 $ 3,568 $ 8,076 $ 4,922 $ 5,332 $ 5,550 $ 5,096 Intangible\b Total Cost 2010$ $8,550,058 $9,844,845 $202,197 $243,972 $96,239 $116,026 $22,864 $44,536 $ 265 $10,934 $ 5,199 $21,837 $ 325 $ 6,574 $ 10 $ 3,578 $ $ 8,076 $ $ 4,922 $ $ 5,332 $ $ 5,550 $ $ 5,096 \a Including the cost to the victim, justice system, and criminal career \b Including the cost of pain & suffering, prorated risk of homicide Click to edit Master title style 27 Results: Baseline Needs Count of Major ClickClinical to edit Master Problems title atstyle Intake: RF JTDC 28 *Based on count of self reporting criteria to suggest alcohol, cannabis, or other drug disorder, depression, anxiety, trauma, suicide, ADHD, CD, victimization, violence/ illegal activity Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Number of Click Clinical to edit Problems: Master title JTDC style vs. RF-JTDC 29 Source: CSAT 2010 SA Data Set subset to 1+ Follow ups General RF-JTDC Click Victimization to edit MasterScale: title style 30 *Mean of 15 items Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Major Clinical by Victimization: ClickProblems* to edit Master title style RF-JTDC 31 *Based on count of self reporting criteria to suggest alcohol, cannabis, or other drug disorder, depression, anxiety, trauma, suicide, ADHD, CD, victimization, violence/ illegal activity Source: CSAT 2010 SA Data Set subset to 1+ Follow ups SeverityClick of Victimization: to edit Master JTDC title style vs. RF-JTDC 32 Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Click Age to edit of Onset: MasterJTDC title style 33 Source: CSAT 2010 SA Data Set subset to 1+ Follow ups ClickAge to edit of Onset: Master RF-JTDC title style 34 RF JTDC Early Onset and Higher Prevalence of Mental Health and Victimization Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Click to edit Master title style 35 Results: Services Services Received Click to edit Master title style 36 *Days of Substance Abuse (SA), Mental Health (MH), Physical Health (PH) treatment and Juvenile Justice System Involvement \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Increase Click in Average to editCost Master of Service title style Utilization 37 \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Treatment Click to Initiation*: edit Master JTDC titlevs. style RF-JTDC 38 *Initial GAIN interview was administered within 14 days before to seven days after admission to Treatment \c Other JTDC has significantly higher rate than RF-JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Engagement*: Click to edit Master JTDC vs. titleRF-JTDC style 39 *In initial Treatment 30+ days and reported 3+ days of Treatment \d RF-JTDC has significantly higher rate than Other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Continuing Click to edit Care*: Master JTDCtitle vs. style RF-JTDC 40 *Received Treatment 90-180 days post intake Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Level ClickoftoCare*: edit Master JTDC vs. titleRF-JTDC style 41 *OP: Outpatient, IOP: Intensive Outpatient; STR: Short Term Residential; M-LTR: Medium to Long Term Residential; CC-OP Continuing Care Outpatient.. Distribution of clients by Level of Care is significantly different between JTDC and RF-JTDC. Source: CSAT 2010 SA Data Set subset to 1+ Follow ups TypeClick of Treatment*: to edit Master JTDC title vs.style RF-JTDC 42 *A-CRA: Adolescent Community Reinforcement Approach; ACC: Assertive Continuing Care; MET/CBT: Motivational Enhancement Therapy/ Cognitive Behavior Therapy; EBTx: Other evidenced based treatment approaches with outcome data.. Distribution of clients by Type of Treatment is significantly different between JTDC and RF-JTDC. Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Length Click of to Stay*: edit Master JTDC title vs. RF-JTDC style 43 *Distribution of clients by Length of Stay is significantly different between JTDC and RF-JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Any Self ClickHelp to edit Activity: Master JTDC titlevs. style RF-JTDC 44 \c Other JTDC has significantly higher rate than RF-JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Click to edit Master title style 45 Results: Outcomes Change Click toinedit Days Master of Abstinence* title style 46 * Days of abstinence from alcohol and other drugs while living in the community; If coming from detention at intake, based on the 90 days before detention. \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change Click in to Being edit Master in Early title Recovery* style 47 * No past month use, abuse or dependence symptoms while living in the community \a p<.05 that post minus pre change is statistically significant Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change ClickintoEmotional edit Master Problems title style Scale* 48 *Proportional average of recency and days of emotional problems (bothered, kept from responsibilities, disturbed by memories, paying attention, self-control) in past 90 \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change Click to inedit DaysMaster of Victimization* title style 49 *Number of days victimized (physically, sexually, or emotionally ) in past 90 \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change Click to inedit Illegal Master Activities title style Scale* 50 *Recency and days (during the past 90) of illegal activity and supporting oneself financially with illegal activity \a p<.05 that post minus pre change is statistically significant Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change inClick Average to edit Number Masterof title Crimes style Reported 51 \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change in Average of Crimes Click toNumber edit Master titleReported style by Type* 52 *Sum of all crimes reported by type \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC Source: CSAT 2010 SA Data Set subset to 1+ Follow ups Change Crimetitle to Society* Clickin toCost edit of Master style 53 *Based on the frequency of crime times the average cost to society of that crime estimated by McCollister et al (2010) in 2010 dollars; distribution capped at 99th percentile to minimize the impact of outliers... \a p<.05 that post minus pre change is statistically significant \b p<.05 that change for Reclaiming Futures JTDC is better than the average for other JTDC CSAT 2010 SA Data Set subset to 1+ Follow ups Click to edit Master title style 54 Discussion Click to edit Limitations Master title style 55 This analysis is based on self-reported data The conditions were defined by grant mechanism, it would be better to classify one JTDC site using the RF model (King County) with RF JTDC and drop youth served by other (non JTDC) diversion program tracks from both sets of grants There were some baseline differences between JTDC and RF-JTDC that have only been controlled for by looking at change (vs. more elaborate matching) and is observational There was data missing due to attrition (26% to 37%), so outcomes had to be estimated based on the average of the observed waves No formal cost analyses of JTDC or Reclaiming Futures JTDC were done so cost estimates here are likely to be lower bound estimates While adjusted for inflation, the costs of service utilization are somewhat dated and should ideally be updated The cost of crime was based on estimates developed for adults (McCollister et al., 2010) that have been applied here to youth Click to editReprise Master title style 56 The Reclaiming Futures JTDC reached more clinically severe youth, provided them with more services and did as well or better as the average JTDC The Reclaiming Futures did better than the average JTDC model in terms of – – – – increasing the alcohol and drug abstinence (26% vs. 42%) reducing emotional problems (-16% vs. -24%) reducing days of victimization (+37% vs. -97%) reducing the number of crimes overall (-50% vs. -66%), property crimes (-53% vs. -62%), violent crimes (-33% vs. 67%) and substance related (i.e., DUI, drug, gambling, prostitution, probation violation) crimes (- 54% vs. -72%) ClickReprise to edit Master (continued) title style 57 Reclaiming Futures JTDC costs more than average JTDC in terms of the change in services provided (+$1,673 vs. +$4,022) However, Reclaiming Futures JTDC was also associated with greater saving than average JTDC in terms of reductions in the tangible and intangible costs of crime – in raw dollars (-$86,202 vs. -$192,552 per youth) – and as a percent of baseline costs (-41% vs. -76%) Click to edit Next Master Stepstitle style 58 Doing several double checks and sensitivity analyses, and running by site to verify and better understand the findings. Will work to publish these findings and to do more comprehensive analyses in terms of case mix adjustment and costs OJJDP is expected to solicit and fund another round of Reclaiming Futures JTDC University of Arizona has just been funded to conduct a more formal evaluation of the RF-JTDC model and how it compares to other JTDC Resources can use Click to edityou Master titlenow style 59 Cost-Effective evidence-based practices A-CRA & MET/CBT tracks here, more at www.chestnut.org/li/apss or http://www.nrepp.samhsa.gov/ Most withdrawal symptoms appeared more appropriate for ambulatory/outpatient detoxification, see http://www.aafp.org/afp/2005/0201/p495.html Trauma informed therapy and sucide prevention at http://www.nctsn.org/nccts and http://www.sprc.org/ Externalizing disorders medication & practices http://systemsofcare.samhsa.gov/ResourceGuide/ebp.html Tobacco cessation protocols for youth http://www.cdc.gov/tobacco/quit_smoking/cessation/youth_tobacc o_cessation/index.htm HIV prevention with more focus on sexual risk and interpersonal victimization at http://www.who.int/gender/violence/en/ or http://www.effectiveinterventions.org/en/home.aspx For individual level strengths see http://www.chestnut.org/li/apss/CSAT/protocols/index.html For improving customer services http://www.niatx.net Click to edit References Master title style 60 Applegate, B. K., & Santana, S. (2000). Intervening with youthful substance abusers: A preliminary analysis of a juvenile drug court. The Justice System Journal, 21(3), 281-300. Bhati et al. (2008) To Treat or Not To Treat: Evidence on the Prospects of Expanding Treatment to Drug-Involved Offenders. Washington, DC: Urban Institute. Capriccioso, R. (2004). Foster care: No cure for mental illness. Connect for Kids. Accessed on 6/3/09 from http://www.connectforkids.org/node/571 Chandler, R.K., Fletcher, B.W., Volkow, N.D. (2009). Treating drug abuse and addiction in the criminal justice system: Improving public health and safety. Journal American Medical Association, 301(2), 183-190 Dennis, M. L., Scott, C. K. (2007). Managing Addiction as a Chronic Condition. Addiction Science & Clinical Practice , 4(1), 45-55. Dennis, M. L., Scott, C. K., Funk, R. R., & Foss, M. A. (2005). The duration and correlates of addiction and treatment. Journal of Substance Abuse Treatment, 28(2 Suppl), S51-S62. Dennis, M. L., Titus, J. C., White, M., Unsicker, J., & Hodgkins, D. (2003). Global Appraisal of Individual Needs (GAIN): Administration guide for the GAIN and related measures. (Version 5 ed.). Bloomington, IL: Chestnut Health Systems. Retrieved from www.gaincc.org. Dennis, M.L., White, M., Ives, M.I (2009). Individual characteristics and needs associated with substance misuse of adolescents and young adults in addiction treatment. In Carl Leukefeld, Tom Gullotta and Michele Staton Tindall (Ed.), Handbook on Adolescent Substance Abuse Prevention and Treatment: Evidence-Based Practice. New London, CT: Child and Family Agency Press. Ettner, S.L., Huang, D., Evans, E., Ash, D.R., Hardy, M., Jourabchi, M., & Hser, Y.I. (2006). Benefit Cost in the California Treatment Outcome Project: Does Substance Abuse Treatment Pay for Itself?. Health Services Research, 41(1), 192-213. French, M.T., Popovici, I., & Tapsell, L. (2008). 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