Implementing Evidence-Based Practice with
King County Adult Offenders in Support of
Drug Court & Other Court Mandated
Treatment
Kate Moritz
Chestnut Health Systems
Geoff Miller
King County MHCADSD
Presentation slides for the NADCP training conference in Nashville, TN, June 1, 2012. Please address
comments or questions to the author at kmoritz@chestnut.org. or 309-451-7831.
Detailed Acknowledgements
Any opinions about this data are those of the authors and do not reflect official positions of
the government or individual grantees.
Please include the following acknowledgement and disclaimer if you use these data:
This presentation uses data supported by analytic runs provided by Substance Abuse and
Mental Health Services Administration's (SAMHSA's) Center for Substance Abuse
Treatment (CSAT) under multiple contracts and uses data provided by the following 182
grantees:
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The authors thank these grantees and their study clients for agreeing to
share their data
3
Chronic Nature of Addiction and the
Correlates of Recovery
Alcohol and Other Drug Abuse, Dependence and
Problem Use Peaks at Age 20
4
Source: 2002 NSDUH and Dennis & Scott, 2007, Neumark et al., 2000
0
10
20
30
40
50
60
70
80
90
100
12-13
14-15
16-17
18-20
21-29
30-34
35-49
50-64
65+
Other drug or
heavy alcohol use
in the past year
Alcohol or Drug Use
(AOD) Abuse or
Dependence in the
past year
Age
Severity Category
Over 90% of
use and
problems
start between
the ages of
12-20
It takes decades before
most recover or die
Percentage
People with drug
dependence die an
average of 22.5 years
sooner than those
without a diagnosis
Overlap with Crime and Civil Issues
Committing property crime, drug related crimes,
gang related crimes, prostitution, and gambling to
trade or get the money for alcohol or other drugs
Committing more impulsive and/or violent acts
while under the influence of alcohol and other drugs
Crime levels peak between ages of 15-20
Adolescent crime is still the main predictor of adult
crime
Parent substance use is intertwined with child
maltreatment and neglect – which in turn is
associated with more use, mental health problems
and perpetration of violence on others
After Initial Treatment…
Relapse is common, particularly for those who:
–
Are Younger
–
Have already been to treatment multiple times
–
Have more mental health issues or pain
It takes an average of 3 to 4 treatment
admissions over 9 years before half reach a
year of abstinence
Yet over 2/3
rds
do eventually abstain
Treatment predicts who starts abstinence
Self-help engagement predicts who stays
abstinent
6
Source: Dennis et al., 2005, Scott et al 2005
The Likelihood of Sustaining Abstinence
Another Year Grows Over Time
7
* p<.05
36%
66%
86%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 to 12 months
1 to 3 years
4 to 7 years
Duration of Abstinence*
% Sustaining
Abstinence
Another Y
ear
.
After 1 to 3 years of
abstinence, 2/3rds will
make it another year
After 4 years of
abstinence, about
86% will make it
another year
Source: Dennis, Foss & Scott (2007)
Only a third of
people with
1 to 12 months of
abstinence will
sustain it
another year
But even after 7 years
of abstinence, about
14% relapse each year
What does recovery look like on average?
8
Source: Dennis, Foss & Scott (2007)
Duration of Abstinence
1-12 Months 1-3 Years 4-7 Years
• More social and spiritual support
• Better mental health
• Housing and living situations continue to improve
• Dramatic rise in employment and income
• Dramatic drop in people living below the poverty line
• Virtual elimination of illegal activity and illegal
income
• Better housing and living situations
• Increasing employment and income
• More clean and sober friends
• Less illegal activity and
incarceration
• Less homelessness, violence and
victimization
• Less use by others at home, work,
and by social peers
Sustained Abstinence Also Reduces
The Risk of Death*
9
Source: Scott, Dennis, Laudet, Funk & Simeone (in press)
Users/Early
Abstainers
more likely
to die in
the next 12
months
The Risk of Death
goes down with
years of sustained
abstinence
It takes 4 or
more years of
abstinence for
risk to get
down to
community
levels
(Matched on Gender, Race & Age)Deaths
in the next 12 months
Other factors related to death rates
Death is more likely for those who
–
Are older
–
Are engaged in illegal activity
–
Have chronic health conditions
–
Spend a lot of time in and out of hospitals
–
Spend a lot of time in and out of substance abuse
treatment
Death is less common for those who
–
Have a greater percent of time abstinent
–
Have longer periods of continuous abstinence
–
Get back to treatment sooner after relapse
10
Source: Scott, Dennis, Laudet, Funk & Simeone (2011)
The Need and Value of Standardized
Screening
12
Any Illegal Activity in the Next Twelve
Months by Intake Severity on Crime/Violence
and Substance Disorder Screeners
13
Predictive Power of Simple Screener
Crime/
Violence
Screener
Substance
Disorder
Screener
12 Month
Recidivism
Rate
Odds
Ratio
\a
Low (0)
Low (0)
17%
1.0
Low (0)
Mod (1-2)
29%
2.0*
Low (0)
High (3-5)
30%
2.1*
Mod (1-2)
Low (0)
30%
2.1*
Mod (1-2)
Mod (1-2)
35%
2.6*
Mod (1-2)
High (3-5)
42%
3.5*
High (3-5)
Low (0)
41%
3.4*
High (3-5)
Mod (1-2)
55%
6.0*
High (3-5)
High (3-5)
61%
7.6*
* p<.05
\a Odds of row (%/(1-%) over low/low odds across all groups
Number of Problems by Level of Care (Triage)
39%
50%
55%
67%
78%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Outpatient
(OR=1)
Intensive
Outpatient
(OR=1.6)
Long Term
Residential
(OR=1.9)
Med. Term
Residential
(OR=3.2)
Short Term
Residential
(OR=5.5)
0 to 1
2 to 4
5 or more
14* (Alcohol, cannabis, or other drug disorder, depression, anxiety, trauma, suicide, ADHD, CD, victimization, violence/ illegal activity)
Source: Dennis et al 2009; CSAT 2007 Adolescent
Treatment Outcome Data Set (n=12,824)
Clients entering
Short Term
Residential
(usually dual
diagnosis) have
5.5
times higher
odds of having 5+
major problems*
No. of Problems* by Severity of Victimization
1515%
45%
70%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Low
(OR 1.0)
Mod.
(OR=4.6)
High
(OR=13.2)
None
One
Two
Three
Four
Five+
Severity of Victimization
* (Alcohol, cannabis, or other drug disorder, depression, anxiety, trauma, suicide, ADHD, CD, victimization, violence/ illegal activity)
Source: Dennis et al 2009; CSAT 2007 Adolescent
Treatment Outcome Data Set (n=12,824)
Those with high
lifetime levels of
victimization
have
13
times
higher odds of
having 5+ major
problems*
7.4%
20.1%
7.0%
0.4%
1.1%
0.6%
0%
5%
10%
15%
20%
25%
12 to 17
18 to 25
26 or older
Abuse or Dependence in past year Treatment in past year
While Substance Use Disorders are Common,
Treatment Participation Rates Are Low
16
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 .
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
Much of the private
funding is limited to 30
days or less and
authorized day by day or
Source: French et al., 2008; Chandler et al., 2009; Capriccioso, 2004 in 2009 dollars
$407
$1,132
$1,249
$1,384
$1,517
$2,486
$4,277
$10,228
$14,818
$0
$10,
000
$20,
000
$30,
000
$40,
000
$50,
000
$60,
000
$70,
000
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)
17
The Cost of Treatment Episode vs.
Consequences
$22,000 / year
to incarcerate
an adult
$30,000/
child-year in
foster care
$70,000/year to
keep a child in
detention
•
$750 per night in Medical Detox
•
$1,115 per night in hospital
•
$13,000 per week in intensive
care for premature baby
•
$27,000 per robbery
•
$67,000 per assault
SBIRT models popular due
to ease of implementation
Return on Investment (ROI)
18
Source: Bhati et al., (2008); Ettner et al., (2006), GAO (2012), Lee et al. (2012)
This also means that for every dollar treatment
is cut, it costs society more money than was
saved within the same year
•
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
Implementation is Key
Major Predictors of Bigger Effects
1.
A strong intervention protocol based on
prior evidence
2.
Quality assurance to ensure protocol
adherence and project implementation
3.
Proactive case supervision of individual
4.
Triage to focus on the highest severity
subgroup
Impact of the numbers of these Favorable
features on Recidivism in 509 Juvenile
Justice Studies in Lipsey Meta Analysis
21
Source: Adapted from Lipsey, 1997, 2005
Average
Practice
The more
features, the
lower the
recidivism
22
Implementation is Essential
(
Reduction in Recidivism from .50 Control Group Rate)
The effect of a well
implemented weak program is
as big as a strong program
implemented poorly
The best is to
have a strong
program
implemented
well
Thus one should optimally pick the
strongest intervention that one can
implement well
Evidence-Based Assessment
Global Appraisal of Individual Needs
Progressive assessment approach
–
Screening (GAIN-Short Screener)
–
Brief assessment (GAIN-Q3)
–
Comprehensive assessment (GAIN-Initial)
–
*Specialized assessment
–
*Program level assessment
All instruments:
–
Norms established for both adults and adolescents
overall and by level of care
–
Available online using the GAIN ABS web application
GAIN Short Screener (GAIN-SS)
3- to 5-minute screener
Designed for self or staff administration
Used in general populations to identify or rule-out
clients with behavioral health disorders
Easy for use by staff with minimal training or
direct supervision
Available in English or Spanish
GAIN-Q3
30 minute brief assessment
Length dependent on version of GAIN-Q3 and
individual severity
Used for:
–
Screening and supporting brief interventions/referrals
in targeted populations (e.g., justice or school settings)
–
Monitoring of client change over time, including costs
to society
–
Communications and referrals to other systems
–
Subgroup- and program-level needs assessment and
evaluation
26
King County & the GAIN
10.6%
20.4%
69.1%
14.0%
16.5%
69.4%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
Low Severity
Problem
Moderate
Severity Problem
High Severity
Problem
2010 Percentage
2011 Percentage
GAIN-SS Total Severity
Community Center for Alternative Programs
Moderate
Severity
Problem
20%
Low Severity
Problem
11%
High Severity
Problem
69%
GAIN-SS Total Severity
Community Center for Alternative Programs
45.8%
53.8%
26.8%
58.3%
29.0%
48.8%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
High severity SDS High severity IDS High severity EDS
2010 Percentage
2011 Percentage
GAIN-SS Severity by Scale
Community Center for Alternative Programs
High Mental
Health/Low
Substance Use
Disorder
21%
High Mental
Health/High
Substance Use
Disorder
45%
Low Problems
10%
High Substance
Use
Disorder/Low
Mental Health
11%
No Problems
13%
GAIN-SS Score Analysis
Community Center for Alternative Programs
References
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., Foss, M. A., & Scott, C. K. (2007). An eight year perspective on the relationship between the duration of abstinence and other aspects of recovery. Evaluation Review, 31(6), 585-612.
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). The economic costs of substance abuse treatment: Updated estimates of cost bands for program assessment and reimbursement. Journal of Substance Abuse Treatment, 35, 462-469
General Account Office (GAO, 2011). Adult Drug Courts: Studies Show Courts Reduce Recidivism, but DOJ Could Enhance Future Performance Measure Revision Efforts. Washington, DC: Author. Retrieved from
http://www.gao.gov/Products/GAO-12-53 on April 18, 2012.
Lee, S., Aos, S., Drake, E., Pennucci, A., Miller, M., & Anderson, L. (2012). Return on investment: Evidence-based options to improve statewide outcomes, April 2012 (Document No. 12-04-1201). Olympia: Washington State Institute for Public Policy. Retrieved from http://www.wsipp.wa.gov/pub.asp?docid=12-04-1201 on 5/4/12. Marlowe, D. (2008). Recent studies of drug courts and DWI courts: Crime reduction and cost savings.
References
Lipsey, M. W. (1997). What can you build with thousands of bricks? Musings on the cumulation of knowledge in program evaluation. New Directions for Evaluation, 76, 7-23.
Lipsey, M. W. (2005). What works with juvenile offenders: Translating research into practice. Paper presented at the presented at the Adolescent Treatment Issues Conference, Tampa.
Office of Juvenile Justice and Delinquency Prevention (OJJDP). (May 2001). Juvenile Drug Court Program. Department of Justice, OJJDP, Washington, DC. NCJ 184744
Neumark, Y.D., Van Etten, M.L., & Anthony, J.C. (2000). Drug dependence and death: Survival analysis of the Baltimore ECA sample from 1981 to 1995. Substance Use and Misuse, 35, 313-327.
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 .
Scott, C.K. & Dennis, M.L. (2009). Results from two randomized clinical trials evaluating the impact of quarterly recovery management checkups with adult chronic substance users. Addiction, 104, 959-971.
Scott, C. K., Foss, M. A., & Dennis, M. L. (2005). Pathways in the relapse, treatment, and recovery cycle over three years. Journal of Substance Abuse Treatment, 28, S61-S70.
E
VIDENCE
-
BASED
P
RACTICES
AND
I
MPLEMENTATION
O
RIGAMI
King County, WA
June 1, 2012
E
VIDENCE
-
BASED
P
RACTICES BEING
IMPLEMENTED IN
K
ING
C
OUNTY
, WA
Global Appraisal of Individual Needs
GAIN SS, GAIN I, GAIN Q, GAIN Q3, GAIN TxSI
&(TxSS), GAIN M90
Motivational Interviewing
Moral Reconation Therapy
Seven Challenges (youth)
Community Reinforcement Approach
Adolescent Community Reinforcement Approach
Trauma-focused Cognitive Behavioral Therapy
Clinical Supervision (Learning Collaborative)
Treatment Planning (linking with assessment)
C
HANGE REQUIRES
Vision
Skills
Incentives
Resources
And Planning (
the end result of will
T
ABLE OF
C
HANGE OR
I
MPLEMENTATION
O
RIGAMI
Change
Change
Vision Skills Incentives Resources Action PlanConfusion
Confusion
Skills Incentives Resources Action PlanAnxiety
Anxiety
Vision Incentives Resources Action PlanResistance
Resistance
Vision Skills Resources Action PlanFrustration
Frustration
Vision Skills Incentives Action PlanTreadmill
Treadmill
Vision Skills Incentives ResourcesT
RAINING AND
T
RAINING
I
NFRASTRUCTURE
How often? Linkage with other training/skill sets Costs? Retraining? What skill sets? How many?F
INANCING
I
MPLEMENTATION
data
outcomes
R
ESOURCES
Global Appraisal of Individual Needs
GAIN SS, GAIN I, GAIN Q, GAIN TxSI, GAIN M90
--http://gaincc.org/
Motivational Interviewing
--http://www.motivationalinterview.org/
Moral Reconation Therapy --
http://www.moral-reconation-therapy.com/
Seven Challenges
--http://www.sevenchallenges.com/About.aspx
Community Reinforcement Approach
--http://www.robertjmeyersphd.com/cra.html
Adolescent Community Reinforcement Approach
--http://www.chestnut.org/LI/acra-acc/index.html
Clinical Supervision (Learning Collaborative)
--http://www.attcnetwork.org/regcenters/generalContent.asp
?rcid=10&content=STCUSTOM5
The GAIN-SS is a 3 to 5 minute screener used in general populations to identify clients with behavioral health disorders. It is designed for self or staff
administration with paper and pen or on the Web.
The GAIN-SS cannot be used to assist with diagnosis, but it does provide a detailed report of the participant’s responses in narrative and table formats. These reports generate recommendations for subsequent referrals.
There is no certification process to use the GAIN-SS. Training is available, but it is not required. It is often sufficient enough to read the GAIN-SS manual, which can be found online at gaincc.org/GAINSS.
The GAIN-SS is available in English or Spanish. Please contact the GAIN Coordinating Center at gaininfo@chestnut.org for more information.
Web applications that allow agencies to complete the screener online and instantly generate reports are available for the GAIN-SS. For more information about each application and assistance determining which one would be most appropriate for your agency, please contact us at gaininfo@chestnut.org.
GAIN Short Screener Overview
For more information, please contact our GAIN Project Coordination Team at gaininfo@chestnut.org
Chestnut Health Systems | GAIN Coordinating Center 448 Wylie Drive Normal, IL 61761
309.451.7900 | gaincc.org
Chestnut Health Systems | GAIN Coordinating Center 448 Wylie Drive Normal, IL 61761
309.451.7900 | gaincc.org
An Overview of the GAIN-Q3
The Global Appraisal of Individual Needs Q3 (GAIN-Q3) is a brief, 20-45 minute assessment used to identify and address a wide range of problems among adolescents and adults in clinical and general populations.
As a clinical tool, the GAIN-Q3 is designed for use by personnel in diverse settings that include employee assistance programs, student assistance programs, health clinics, juvenile justice, criminal justice, child welfare, mental health, and substance abuse treatment programs.
Once the GAIN-Q3 interview is completed, there are a number of reports that can be generated through the use of GAIN ABS to support your clinical decision making and referral process.
The GAIN-Q3 training model takes a distance-learning approach to help individualize the training
process and make training and certification more affordable.
The GAIN-Q3-Lite is the most basic form of the assessment. It consists of nine screeners that estimate the
severity of problems and the recency of treatment participation in each life area represented. The Lite also computes a measure of participants' quality of life. The average time to administer the GAIN-Q3-Lite is about 25 minutes.
The GAIN-Q3-Standard contains the same nine screeners as the GAIN-Q3-Lite, plus additional items that
record information on the frequency of participants' service utilization and behaviors during the preceding 90 days. The GAIN-Q3-Standard provides more detailed outcome measures than the GAIN-Q3-Lite. This additional information can be used to monitor participants' progress when the Q3 is used as a follow-up assessment. In addition to the quality of life measure, the GAIN-Q3-Standard computes indices on the participant's prevalence of problems and quarterly costs to society. A six-item measure on current life satisfaction is also included in the Standard. The average time to administer the GAIN-Q3-Standard is about 25 to 35 minutes.
The GAIN-Q3-MI (Motivational Interviewing) contains the same nine screeners, recency items, and measure
of life satisfaction as the GAIN-Q3-Standard with the addition of items that address reasons for and readiness to change. These additional items help facilitate a motivational interviewing session, making the GAIN-Q3-MI best suited for participants who may be in need of a brief intervention. For any life area that screens as problematic, or for any problematic area that a site chooses in advance to address, GAIN-Q3-MI interviewers have the option of collecting information on the participant's reasons for and readiness to change their
behaviors. This information is then used during the GAIN-Q3-MI brief intervention, which can be conducted either during the assessment session or at a separate meeting. The time to conduct the screening and brief intervention varies, depending on the number of life areas the participant reports as problematic. On average, the GAIN-Q3-MI takes about 35 to 45 minutes to administer. Following up with a motivational-interviewing intervention can take another 15 to 30 minutes, depending on how many life areas are covered.