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Always at your service
GAIN Related Project Progress ReportMichael L. Dennis, Ph.D.,
Laine Twanow, & Nora Jones, M.S.Chestnut Health Systems, Normal, IL
Created for: King County Mental Health,
Chemical Abuse and Dependency Services Division
Presentation at the Mental Health, Chemical Abuse and Dependency Services Division 1st Annual All
Providers’ Meeting, January 27, 2012
2
Detailed Acknowledgements• This presentation was supported by a contract with King County and
includes data from the following agencies: Auburn Youth Resources; Center for Human Services; Therapeutic Health Services; Community Psychiatric Clinic; Consejo Counseling & Referral Service; Friends of Youth; Kent Youth & Family Services; Navos; Ryther Child Center; Seattle Counseling Services for Sexual Minorities; United Indians of All Tribes Foundation; Valley Cities Counseling & Consultation; Washington Asian Pacific Islander Families Against Substance Abuse (WAPIFASA); Youth Eastside Services; Renton Area Youth & Family Services; Sound Mental Health; Asian Counseling & Referral Services; Pioneer Human Services; Snoqualmie Tribe/Raging River Recovery Center; Muckleshoot Tribe; Northshore Youth & Family Services; Integrative Counseling Services; SeaMar Community Heath Centers; Vashon Youth and Family Services; Seattle King County ROSC PPW; and Reclaiming Futures.
• The authors thank these grantees and their study clients for agreeing to share their data
• Any opinions about this data are those of the authors and do not reflect official positions of the government or individual grantees.
3
Goals
• Summarize the King County Data and its implication for program planning by looking at – Baseline characteristics– Correlates of most common problems– Costs to society– Treatment planning needs– Performance measures
• Examine how well King County is doing in terms – data quality– efficiency in terms of time to complete the
interview– Folloeup rates from the first quarter of FY12
4
2011 King County GAIN Data Set
• GAIN Initial (GI) data collected by 18 agencies from 5,602 clients between 7/2008 and12/2011 – Roughly a third from 2011, 2010 and pre 2010
• GAIN Monitoring 90 days (GM90) data collected by 17 agencies from 710 clients between 5/2009 and12/2011– Roughly 78% in 2011
• Grant data collapsed into the agency that collected it
5
2011 KC Data by Agency
Source: 2011 King County Data Set (n=5,507)
Con
sejo
Ther
apeu
tic
Asi
an C
oun.
Nav
os
Aub
urn
Ken
t
CH
S
Vas
hon
Nor
thsh
ore
WA
PIF
AS
A
Com
. Psy
ch
Ren
ton
Are
a
You
th E
ast.
Frie
nds
Inte
grat
ive
Sou
nd M
H
Val
ley
Citi
es
Pio
neer
0
100
200
300
400
500
600
700
800
900
1,000
156
346
305
131
856
357
883
36
129
888
36 21
612
176
343
104
44
179
G A I N -I I nt er vi e w s
6
2011 KC Data Set by Gender
Source: 2011 King County Data Set (n=5,600)
Males 69.7% (n=3,904)
Females 30.3% (n= 1,694)
Other 0.04%
(n= 2)
7
2011 KC Data Set by Age
Source: 2011 King County Data Set (n=5,602)
18 -25 Years 14.3%
(n=802)
Under 15 Years (<15) 17.3%
(n=967)
15-17 Years 57.6%
(n=3,227)
26+ Years 10.8%
(n=606)
8
2011 KC Data Set by Race
Source: 2011 King County Data Set (n=5,534)
Mixed 18.2% (n=1,005)
African American 14.0% (n=777)
Hispanic 13.6%
(n=750)
White 45.4% (n= 2,514)
Other 8.8%
(n=488)
9
2011 KC Data Set by Risk of Homelessness
Source: 2011 King County Data Set (n=5,551)
At Risk 11.9%
(n=658)
Housed 78.5%
(n=4,356)
Group or Institution
2.3% (n=128)
Currently Homeless
7.4% (n=409)
10
2011 KC Data Set by Co-Occurring Disorders
Source: 2011 King County Data Set (n=5,488)
Internalizing Disorders
Only 10.3%
(n=566)
Externalizing Disorders
Only 20.3%
(n=1,112)
Both 28.4%
(n=1,557)
Neither 41.1%
(n=2,253)
11
2011 KC Data Set by Substance Use Severity
Source: 2011 King County Data Set (n=5,464)
Past Year Dependence
47.9% (n=2,616)
No Past Year Use 1.7%
(n=93)
Past Year Use
19.3% (n=1,056)
Past Year Abuse 31.1%
(n=1,699)
12
Any SUD Diag-nosisMarijuana
Alcohol
Amphetamine*
Cocaine
Opiates
Sed/hyp/anx
Hallucinogens
Other drugs
Inhalants
PCP
Tobacco **
0% 20% 40% 60% 80% 100%
79%
32%18%
6%5%
4%
0%
35%
Abuse
Use
No Use
Series5
Source: 2011 King County Data Set (n=4,802)
Substance Use Disorders in Past Year by Major Substances
*n=9,134**Not counted in Any SUD Diagnosis. No abuse available for Tobacco.
13
Pattern of Weekly Use (13+/90 days)
Anything
Cannabis
Alcohol
Opioid
Amphetamines
Other Drugs
Cocaine
Tobacco
Controlled Environment
Any Needle Use*
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
57%
42%
16%
4%
3%
2%
2%
42%
13%
3%
Source: 2011 King County Data Set (n=5,578)
*Not a weekly measure; any in past 90 days
14
Any Past Year Diagnosis
First Use < Age 15
Weekly Use of AOD
3+ Years Use
Past Year Dependence
Any Withdrawal
Prior SA Treatment
Severe Withdrawal
Substance Use Prob-lems*
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
79%
68%
57%
51%
48%
34%
29%
3%
21% 46% 33%
EAST High (6-8) Mod. (3-5)
Substance Use Problems
Source: 2011 King County Data Set (n=5,496)
*Count of 8 items
15
Substance Problem Recognition
Can Give 1+ Reasons to Quit*
Client Believes Need ANY Treatment
Acknowledges Hav-ing an AOD Prob-
lem
0% 20% 40% 60% 80% 100%
88%
61%
26%
Source: 2011 King County Data Set (n=5,579)
16
HIV Risk Scale: Needle Problems
Use a needle to shoot up drugs
Reuse needle you had used before
Let someone else inject you w/ needle
Skip cleaning needle after done
Reuse needle w/o cleaning first
Let use water/cooker/cotton after you
Reuse water/cooker/cotton after
Let someone else use needle
Use needle someone else used
0% 20% 40% 60% 80% 100%
3.4%
2.3%
2.1%
1.7%
1.4%
1.4%
1.1%
1.1%
1.0%
Source: 2011 King County Data Set (n=5,553)
* Mean of 36 items from the next four slides. Intake only.
17
HIV Risk Scale: Sex Risk
Sex in past year
Sex w/o barrier of any kind
Have sex w/you or partner high on AOD
2 or more sex partners in past year
Use AOD to make sex longer or hurt less
Have sex involving anal intercourse
Pain during sex or after sex
Sex with injection drug user
Trade sex for drugs, gifts, or money
Sex w/man who has sex with other men
Sex with someone HIV positive
Use drugs/gifts/money to purchase sex
0% 20% 40% 60% 80% 100%
68%
38%
36%
36%
5%
5%
3%
3%
2%
1%
1.1%
0.8%
Source: 2011 King County Data Set (n=5,424)
* Mean of 36 items. Intake only.
18
HIV Risk Scale: Victimization
Ever hurt by striking/beating
Abused emotionally
Ever attacked w/ gun, knife, other weapon
Ever forced sex acts against your will/anyone
Age of 1st abuse < 18
Any several times or for long time
Was person family member/trusted one
Any with more than one person involved
Were you afraid for your life/injury
People you told not believe you/help you
Result in oral, vaginal, anal sex
Currently worried someone abuse emotionally
Currently worried someone beat/hurt
Currently worried someone attack
Currently worried someone force sex acts
General Victimization Scale*
0% 20% 40% 60% 80% 100%
35%
33%
32%9%
51%
32%
27%
27%
17%
10%
7%
8%6%
5%1%
42% 17% 42%
EAST
High Severity (4-15)
Moderate Severity (1-3)
Source: 2011 King County Data Set (n=5,468)
*Mean of 15 items
19
HIV Risk Scale
Source: 2011 King County Data Set (n=5,568)
Moderate 47%
(n=2,637)
Low 36%
(n=1,992)
High 17%
(n=939)
20
HIV Risk Scale* by Co-Occurring Disorders
Source: 2011 King County Data Set (n=5,487)
* Available at intake only.
Neither(OR=1.0)
Externalizing Disorders
Only(OR=3.5)
Internalizing Disorders
Only(OR=10.9)
Both(OR=21.5)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
3% 10%25%
40%
Low (0-2)
Moderate (3-9)
High(10-36)
21
HIV Risk Scale* by Substance Use Severity
Source: 2011 King County Data Set (n=5,436)
* Available at intake only.
No Past Year Use(OR=1.0)
Past Year Use
(OR=5.4)
Past Year Abuse
(OR=8.7)
Past Year Dependence
(OR=35.3)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1% 6% 9%
28%
Low (0-2)
Moderate (3-9)
High(10-36)
22
HIV Risk Scale* by Severity of Victimization
Source: 2011 King County Data Set (n=5,516)
* Available at intake only.
Low Severity(OR=1.0)
ModerateSeverity(OR=3.9)
High Severity(OR=226.6)
0%10%20%30%40%50%60%70%80%90%
100%
1%
39%
Low (0-2)
Moderate (3-9)
High(10-36)
23
Homicidal/Suicidal Thoughts
Thought about committing suicide
Thought about killing/hurting someone
Had a plan to commit suicide
Attempted suicide
Gotten gun etc. to carry out plan
Homicidal Suicidal Thought Scale*
0% 20% 40% 60% 80% 100%
11%
8%
4%
3%
3%
3%13%
84%
EAST
High Severity(4-5)
Moderate Severity (1-3)
*Mean of 5 itemsSource: 2011 King County Data Set (n=5,509)
24
Para-Suicidal Behavior
Cut, burned, or hurt self on purpose - PY
Cut, burned, or hurt self on purpose - P90 days
Felt can't stop cut, burn, or hurt self - PY
Needed medical attention after cut, burn, or hurt self
Parasuicidal Index *
0% 20% 40% 60% 80% 100%
9%
7%
3%
2%
6% 91%
Series1
Moderate Severity (1-2)
*Sum of 4 itemsSource: 2011 King County Data Set (n=1,566)
25
Any Violence or Illegal Activity
Physical Violence
Any Illegal Activity
Any Property Crimes
Other Drug Related Crimes*
Any Interpersonal/ Violent Crime
Lifetime Justice Involvement
1+/90 days In Controlled Envi-ronment
Current Justice involvement
0% 20% 40% 60% 80% 100%
60%
47%
45%
34%
26%
23%
55%
47%
40%
Past Year Violence & Crime
Source: 2011 King County Data Set (n=4,907)
*Dealing, manufacturing, prostitution, gambling (does not include simple possession or use)
26
Type of Crime
Source: 2011 King County Data Set (n=4,645)
*Other crime includes vandalism, possession of stolen goods, forgery, and theft.
Violent Crime22%
Other Crime*
20%
Drug Use only58%
27
Type of Crime by Co-Occurring Disorders
Neither(OR=1.0)
Externalizing Disorders
Only(OR=4.4)
Internalizing Disorders
Only(OR=1.4)
Both(OR=5.2)
0%10%20%30%40%50%60%70%80%90%
100%
10%
33%13%
37%
Drug Use only
Other Crime*
Violent Crime
Source: 2011 King County Data Set (n=4,580)
28
Type of Crime by Substance Use Severity
No PY Use(OR=1.0)
PY Use(OR=2.3)
PY Abuse(OR=3.7)
PY De-pendence(OR=7.2)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
6% 12% 18%30%
Drug Use only
Other Crime*
Violent Crime
Source: 2011 King County Data Set (n=4,583)
29
Type of Crime by Severity of Victimization
Low Severity(OR=1.0)
Moderate Severity(OR=3.4)
High Severity(OR=5.0)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
9%26%
34%
Drug Use only
Other Crime*
Violent Crime
Source: 2011 King County Data Set (n=4,626)
30
Intensity of Justice System Involvement
Source: 2011 King County Data Set (n=4,676)
Past year illegal activity/ SA use
48%
Past arrest/JJ/CJ status10%
Other JJ/CJ status15%
Other prob/parole/ detention
11%
On prob/parole 14+ days w/ 1+ drug screens
9%
Drug Court1%
In detention/ jail 14-29 days3%
In detention/ jail 30+ days4%
31
Male Female0%
10%20%30%40%50%60%70%80%90%
100%Past yr illegal activity/SA usePast arrest/JJ/CJ sta-tusOther JJ/CJ statusOther probation, parole, detentionProb/parole 14+ days w/ 1+ drug screensDrug CourtDetention/jail 14-29 daysDetention/jail 30+ days
Intensity of Justice Involvement by Gender
Source: 2011 King County Data Set (n=4,673)
32
<15 15-17 18-25 26+0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%Past yr illegal activ-ity/SA use
Past arrest/JJ/CJ status
Other JJ/CJ status
Other probation, parole, detention
Prob/parole 14+ days w/ 1+ drug screens
Drug Court
Detention/jail 14-29 days
Detention/jail 30+ days
Intensity of Justice Involvement by Age
Source: 2011 King County Data Set (n=4,676)
33
African Ameri-
can
Hispanic Other White Mixed0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%Past yr illegal activity/SA use
Past arrest/JJ/CJ sta-tus
Other JJ/CJ status
Other probation, parole, detention
Prob/parole 14+ days w/ 1+ drug screens
Drug Court
Detention/jail 14-29 days
Detention/jail 30+ days
Intensity of Justice Involvement by Race
Source: 2011 King County Data Set (n=4,612)
34
In S
cho
ol
PH
Tx
MH
Tx
At
Wo
rk
Arr
este
d
SA
Tx0%
10%20%30%40%50%60%70%80%90%
100%
74%
43%23% 21% 15% 12%
Never
More than 90 days ago
Past 90 days
Recency of System Involvement
Source: 2011 King County Data Set (n=5,386)
35
Count of Major Clinical Problems at Intake
Cannabis disorder
Alcohol disorder
Other drug disorder
Conduct Disorder
ADHD
Depression
Trauma
Anxiety
Violence/ illegal activity
Victimization
Suicide
Major Clinical Problems*
0% 20% 40% 60% 80% 100%
34%
33%
21%
38%
33%
31%
26%
13%
60%
58%
11%
40% 11% 12% 14% 12% 10%
East
Five to Twelve
Four
Three
Two
One
Source: 2011 King County Data Set (n=5,522)
36
Count of Major Clinical Problems* at Intake by Gender
Male(OR=1.0)
Female(OR=1.6)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
37%48%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,598)
37
Count of Major Clinical Problems* at Intake by Age
<15(OR=1.0)
15-17(OR=1.2)
18-25(OR=1.5)
26+(OR=2.5)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
34% 38% 44%56%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,602)
38
Count of Major Clinical Problems* at Intake by Race
African American(OR=1.0)
Hispanic(OR=1.0)
Other(OR=1.3)
White(OR=1.6)
Mixed(OR=1.9)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
32% 32% 38% 43% 47%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,534)
39
Count of Major Clinical Problems* at Intake by Risk of Homelessness
Housed(OR=1.0)
Group/Inst(OR=1.5)
At Risk of Homelessness
(OR=1.9)
Currently Homeless(OR=4.1)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
36%45% 52%
69%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,602)
40
Count of Major Clinical Problems* at Intake by Co-Occurring Disorders
Neither(OR=1.0)
Externalizing Disorders
Only(OR=24.7)
Internalizing Disorders
Only(OR=34.0)
Both(OR=369.2)
0%10%20%30%40%50%60%70%80%90%
100%
3%
42% 50%
92%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,488)
41
Count of Major Clinical Problems* at Intake by Substance Use Severity
No PY Use(OR=1.0)
PY Use(OR=12.6)
PY Abuse(OR=32.0)
PY De-pendence
(OR=159.5)
0%10%20%30%40%50%60%70%80%90%
100%
1%12%
26%
63%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,464)
42
Count of Major Clinical Problems* at Intake by Severity of Victimization
Low Severity(OR=1.0)
Moderate Severity(OR=4.8)
High Severity
(OR=16.0)
0%10%20%30%40%50%60%70%80%90%
100%
12%
40%
69%
None
One
Two
Three
Four
Five to Twelve
Source: 2011 King County Data Set (n=5,464)
43
Count of Major Clinical Problems* at Intake by King County Agency
Source: 2011 King County Data Set (n=5,516)
Consejo
Therap
eutic
Asian
Coun.
Navos
AuburnKen
tCHS
Vashon
Northsh
ore
WAPIF
ASA
Com. P
sych
Rento
n Are
a
Youth E
ast.
Friends
Inte
grativ
e
Sound MH
Valle
y Citi
es
Pionee
r0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
4%
22% 30%
31%
32%
35%
40%
42%
40%
44%
47%
52%
51%
53%
52% 60%
55%
79%
None
One
Two
Three
Four
Five to Twelve
OR=90.3 for most/ least severe
44
Family History of Physical Health Problems
Source: 2011 King County Data Set (n=5,335)
Problems with alcohol use
Problems with drug use
Heart or blood problems
Diabetes
Psychological problems
Other probs or in Tx a lot
Any Family History of Physical Health Problems
0% 20% 40% 60% 80% 100%
63%
50%
48%
48%
40%
32%
86%
45
Recovery Environment - Peers
Social Peers Getting Drunk Weekly+
School/Work Peers Getting Drunk Weekly+
Others at Home Getting Drunk Weekly+
Social Peers Using Drugs
School/Work Peers Using Drugs
Others at Home Using Drugs
0% 20% 40% 60% 80% 100%
50%
42%
30%
66%
56%
26%
Source: 2011 King County Data Set (n=5,403)
46
Recovery Environment - Home
Source: 2011 King County Data Set (5,448)
Family History of Substance Use
Weekly Alcohol Use at Home
Weekly Family Problems
Weekly Drug Use at Home
0% 20% 40% 60% 80% 100%
69%
23%
19%
9%
47
Sources of Stress: Personal
Death of family member/close friend
Health problem of family/friend
Major change in relationships/divorce
Fights with boss/ teacher/coworkers
Other family changes/problems
Birth/adoption of new family member
0% 20% 40% 60% 80% 100%
32%
30%
22%
21%
11%
8%
Source: 2011 King County Data Set (n=1,523)
48
Sources of Stress: Other
Major change/bad housing
Transportation problems
Interruption or loss of house/job/school
Hard work or school schedule
Threat of losing job/house/school/transportation
New job, position, or school
Something you saw
Discrimination in community/work/etc.
Other environmental demands
Sources of Stress Index*
23%
18%
16%
15%
14%
14%
14%
5%
4%
35% 31% 34%
East
High (3-15)
Moderate (1-2)
Source: 2011 King County Data Set (n=1,519)*Sum of 15 items
49
Treatment Readiness
Can get help you need in Tx program
Need to be in Tx for at least a month
Old friends may try to get you drunk/high
A lot of pressure to be in Tx
Need support from friends/ relatives
Being in Tx program too demanding
Too many responsibilities to be in Tx
Be hard to resist AOD where you live
Will need to come back to Tx 1/more times
Treatment Readiness*
56%
34%
34%
31%
31%
30%
27%
16%
13%
30% 59% 12%
East
Low (0-2)
Moderate (3-5)
Source: 2011 King County Data Set (n=5,478)*Sum of 9 items
50
Treatment Readiness by Age
<15(OR=1.0)
15-17(OR=1.2)
18-25(OR=3.2)
26+(OR=12.6)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
20% 22%
44%
75%
High (6-9)
Moderate (3-5)
Low (0-2)
Source: 2011 King County Data Set (n=5,123)
51
Neither(OR=1.0)
Externaliz-ing
Disorders Only
(OR=1.1)
Internalizing Disorders
Only(OR=3.0)
Both(OR=2.7)
0%10%20%30%40%50%60%70%80%90%
100%21% 23%
45% 42%High (6-9)
Moderate (3-5)
Low (0-2)
Treatment Readiness by Co-Occurring Disorders
Source: 2011 King County Data Set (n=5,022)
52
No Past Year Use(OR=1.0)
Past Year Use
(OR=16.5)
Past Year Abuse
(OR=20.5)
Past Year Depen-dence
(OR=73.5)
0%10%20%30%40%50%60%70%80%90%
100% 1%15% 18%
45%High (6-9)
Moderate (3-5)
Low (0-2)
Treatment Readiness by Substance Use Severity
Source: 2011 King County Data Set (n=5,027)
53
Individual Strengths
Doing well with close friends
Listening, caring or communicating with others
Problem solving and figuring things out
Doing well at with your family
Doing well at sports, exercise, physical activity
Working or playing with computers
Doing well at school or training
Doing well at music, dancing, acting, other performing art
Drawing, painting, design or other art activities
Doing well at work
Strength Self-Efficacy Index*
0% 20% 40% 60% 80% 100%
86%
78%
72%
70%
67%
61%
50%
49%
44%
28%
8% 46% 46%
EAST
High Problems(2-0)
Moderate Problems(6-3)
*Sum of 10 items
Source: 2011 King County Data Set (n=1,520)
54
Friends to hang out with
Family members/close partners
Someone to talk to about emotions
Someone to help cope with problems
Legal hobby or activity
People at work/school: get assignments
People at work/school: day to day things
Friends/colleagues from other com-panies/schools
Professional counselor/health provider
General Social Support Index*
0% 20% 40% 60% 80% 100%
83%
79%
78%
76%
73%
57%
57%
49%
48%
8% 15% 77%
EAST
High Problems(1-0)
Moderate Problems (4-2)
General Social Support Strengths
*Sum of 9 items
Source: 2011 King County Data Set (n=1,522)
55
Potential Mentors in the Recovery Environment
None involved in illegal activity
Little shouting, arguing or fighting most weeks
Know anyone in treatment
Know anyone in recovery
Little shouting, arguing or fighting most weeks
None involved in illegal activity
Know anyone in treatment
Know anyone in recovery
Little shouting, arguing or fighting most weeks
None involved in illegal activity
Know anyone in treatment
Know anyone in recovery
Environmental Strengths Index*
0% 20% 40% 60% 80% 100%
83%63%
20%14%
77%58%
27%13%
70%50%
33%16%
9% 38% 54%
WEST High Problems (2-0) Moderate Problems (5-3)
Ho
me
Sch
oo
l or
Wo
rkS
oci
al
Pee
rs
*Sum of 12 items
Critical gap in
connection to recovery community
Source: 2011 King County Data Set (n=5,398)
56
Quarterly Cost to Society
Using the GAIN we are able estimate the cost to society of tangible services (e.g., health care utilization, days in detention, probation, parole, days of missed school) in 2010 dollars for the 90 days before intake
Of the 5,602 clients served in 18 sites in 2011, the average Quarterly Cost to Society per client, in the quarter before they entered treatment, was $1,938 and totaled $8,224,406 across clients.
In the year before they entered treatment, they cost society an average of $7,752 per client and a total of $32,897,624 across clients
57
Quarterly Cost to Society – 2010 Dollars
*Quarterly cost to society 2010 dollars w/ SA TX based on French, M.T., Popovici, I., & Tapsell, L. (2008). The economic costs of substance abuse treatment: Updated estimates and cost bands for program assessment and reimbursement. Journal of Substance Abuse Treatment, 35, 462-469.
Description Unit Cost 2010 dollars
Inpatient hospital day Days $ 1,432.81
Emergency room visit Visits $ 269.88
Outpatient clinic/doctor’s office visit Visits $ 76.83
Nights spent in hospital Nights $ 1,432.81
Times gone to emergency room Times $ 269.88
Times seen MD in office or clinic Times $ 76.83
Days bothered by any health problems Days $ 25.63
Days bothered by psych problems Days $ 9.90
How many days in detox Days $ 258.99
Nights in residential for AOD use Nights $ 151.65
Days in Intensive outpatient program for AOD use Days $ 104.19
Times did you go to regular outpatient program Times $ 280.70
Days missed school or training for any reason Days $ 18.38
How many times arrested Times $ 2,125.81
Days on probation Days $ 5.77
Days on parole Days $ 18.59
Days in jail/prison/detention Days $ 81.06
Days detention/jail Days $ 113.60
58
Quarterly Cost to Society
% of Total Dol-lars
($8,224,406; mean=$1,939)
% of Popula-tion (5,602)
0% 20% 40% 60% 80% 100%
48%
4%
35%
24%
17%
72% $10,000+
$2,000 - $9,999
$0-$1,999
Source: 2011 King County Data Set (n=5,602)
59
<15 15-17 18-25 26+0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
$8,000
$9,000
$10,000
$993$1,459
$2,912
$4,226
$0-$1,999
$2,000 - $9,999
$10,000+
Mean
Quarterly Cost to Society* by Age
Source: 2011 King County Data Set (n=4,241) *Using 2010 Dollars
$3970 $5,837 $11,648 $16,904 <- Annual Cost
60
Housed Group/Inst
At Risk of
Home-lessness
Currently Homeless
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
$8,000
$9,000
$10,000
$1,554
$7,230
$2,842
$4,192
$0-$1,999
$2,000 - $9,999
$10,000+
Mean
Quarterly Cost to Society* by Risk of Homelessness
Source: 2011 King County Data Set (n=4,202)
*Using 2010 Dollars
61
Neither Externaliz-ing
Disorders Only
Internalizing Disorders
Only
Both0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
$8,000
$9,000
$10,000
$1,017$1,515
$3,022$3,347
$0-$1,999
$2,000 - $9,999
$10,000+
Mean
Quarterly Cost to Society* by Co-Occurring Disorders
Source: 2011 King County Data Set (n=4,190)*Using 2010 Dollars
62
No PY Use
PY Use PY Abuse PY De-pen-
dence
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
$8,000
$9,000
$10,000
$614$1,265
$1,179
$2,857
$0-$1,999
$2,000 - $9,999
$10,000+
Mean
Quarterly Cost to Society* by Substance Use Severity
Source: 2011 King County Data Set (n=4,185)*Using 2010 Dollars
63
Quarterly Cost to Society* by Severity of Victimization
Source: 2011 King County Data Set (n=4,232)
*Using 2010 Dollars
Low Severity
Moderate Severity
High Severity
0%10%20%30%40%50%60%70%80%90%
100%
$0$1,000$2,000$3,000$4,000$5,000$6,000$7,000$8,000$9,000$10,000
$1,056
$1,716
$3,032
$0 - $1,999
$2,000 - $9,999
$10,000+
Mean
64
Problem Prevalence
Index
Quarterly Cost to Society
Quality of Life Index
General Sat-isfaction Index*,**
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
11% 4%
0.381322957198444 0.56603773584
9057 High Mod
Low Low
Mod High
Cross Validation of Four Summary Indices
Source: 2011 King County Data Set (n=3,192)
Pro
ble
mat
icB
en
efic
ial
*n=8,973**GSI groups are usually reversed (low satisfaction scores (0-2) are in the high problem group); here low satisfaction scores are in the low group, and high satisfaction scores are in the high group.
65
Quality of Life
This index summarizes quality of life represented by fewer reported problems during the past year in school problems, work problems, health problems, sources of stress, risk behavior, internal disorders, external disorders, substance disorders, and crime/violence.
It is calculated as the sum of 9 screeners from the GAIN-Q version 3 (reversed to Low=2, Moderate=1, and High=0) divided by the range (18), and multiplied by 100 to get a score from 0 to 100.
The Quality of Life Index can be interpreted continuously where higher values represent greater quality of life.
It can also be triaged to low (0-36), moderate (37-69) or high (70-100) groups.
66
General Satisfaction Index
This index summarizes life satisfaction in 6 areas (sexual relationship, living situation, family relationships, school/work, free time, and getting help with problems).
It is calculated as the sum of these 6 items The General Satisfaction Index can be interpreted
continuously where higher values represent greater satisfaction with life situations.
It can also be triaged to low problems (5-6), moderate problems (3-4) or high problems (0-2) groups. High satisfaction corresponds to low problems.– For the purposes of this presentation, the groups are not reversed,
such that low satisfaction scores (0-2) are in the low group, and high satisfaction scores (5-6) are in the high group.
67
General Satisfaction Index* by Problem Prevalence Index
General Satisfaction
Problem Prevalence Index*GSI groups are usually reversed (low satisfaction scores (0-2) are in the high problem group); here low satisfaction scores are in the low group, and high satisfaction scores are in the high group.
Low (0-5)
(OR=1.0)
Moderate (6-24)
(OR=5.6)
High (25-100)
(OR=18.1)
0%10%20%30%40%50%60%70%80%90%
100%
45%
33%22%
High (5-6)
Moderate (3-4)
Low (0-2)
Problems are subjectively
unpleasant and are associated
with lower satisfaction
Source: 2011 King County Data Set (n=1,477)
68
Low ($0-$1,999)(OR=1.0)
Moderate ($2,000-$9,999)
(OR=0.5)
High ($10,000+)(OR=0.3)
0%10%20%30%40%50%60%70%80%90%
100%
63%47%
36%
High (5-6)
Moderate (3-4)
Low (0-2)
General Satisfaction Index* by Quarterly Cost to Society
General Satisfaction
Quarterly Cost to Society
Higher costs are subjectively
unpleasant and are associated with
lower satisfaction
*GSI groups are usually reversed (low satisfaction scores (0-2) are in the high problem group); here low satisfaction scores are in the low group, and high satisfaction scores are in the high group.
Source: 2011 King County Data Set (n=1,335)
69
Low (0-36)
(OR=1.0)
Moderate (37-69)
(OR=2.4)
High (70-100)(OR=6.3)
0%10%20%30%40%50%60%70%80%90%
100%
31%51%
74% High (5-6)
Moderate (3-4)
Low (0-2)
General Satisfaction Index* by Quality of Life
General Satisfaction
Quality of Life
Quality of life is subjectively
pleasant and is associated with
higher satisfaction
*GSI groups are usually reversed (low satisfaction scores (0-2) are in the high problem group); here low satisfaction scores are in the low group, and high satisfaction scores are in the high group.
Source: 2011 King County Data Set (n=1,482)
70
Treatment Needs and Performance Measures
71
GAIN Treatment Planning/Placement Grid
Problem Recency/Severity
None Past Current (past 90 days)* Low-Mod | High Severity
Treatment History
None Past Current
1. No problem
2. Past problem Consider monitoring and relapse prevention.
3. Low/Moderate problems; Not in treatmentConsider initial or low invasive treatment.
4. Severe problems;Not in treatment Consider a more intensive treatment or intervention strategies.
0. Not LogicalCheck under- standing of problem or lying and recode.
5. No current problems; Currently in treatmentReview for step down or discharge.
6. Low/Moderate problems; Currently in treatment Review need to continue or step up.
7. Severe problems; Currently in treatmentReview need for more intensive or assertive levels.
* Current for Dimension B1 = Past 7 days
72
GAIN Placement Cells by ASAM Dimension
B1.Intoxication/Withdrawal
B2. Biomedical
B3 Psychological/Behavioral
B4. Tx Acceptance/Resistance
B5. Relapse Potential
B6. Environment
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Inconsistent No problemPast Problem Low/Moderate ProblemsHigh Problems No Problems in TreatmentLow/Moderate Problems in Treatment High Problems in Treatment
Source: 2011 King County Data Set (n=5,437)
73
B1. Intoxication/Withdrawal – Common Treatment Planning Needs
Detox/withdrawal services
Meds for non-opioid withdrawal & relapse
Meds for opiate withdrawal & relapse
Monitoring withdrawal & AOD meds compliance
0% 20% 40% 60% 80% 100%
41%
19%
2%
1%
Source: 2011 King County Data Set (n=5,587)
74
B2. Biomedical – Common Treatment Planning Needs
Risky sexual behavior
Tobacco cessation
Compliance with PH meds
Accommodate medical condition*
Meds for physical health problems
ER/hospitalization history
Current Tx for medical problem
Tetanus shot**
0% 20% 40% 60% 80% 100%
70%
49%
28%
21%
19%
16%
15%
10%
Source: 2011 King County Data Set (n=5,529)
*n = 1,552 ** n = 1,262
75
B3. Psychological – Common Treatment Planning Needs
Behavior controlAnger management
Coordinate with justice systemInterpersonal illegal acts
Drug-related illegal activitiesHomicidal/suicidal risk
Current Tx for psych problemsIllegal activities
Current meds for psych problemsArrest history
Civil court*Problems w/ reading & writing
0% 20% 40% 60% 80% 100%
63%45%
41%22%
21%19%18%
17%16%
12%11%8%
Source: 2011 King County Data Set (n=5,103)
*n = 1,528
76
B4.Readiness – Common Treatment Planning Needs
Case management
Any Tx Pressure
Tx required
Partner to understand Tx process
Review expectations for length of Tx
Dissatisfaction with past 90 day Tx*
0% 20% 40% 60% 80% 100%
70%
64%
39%
36%
18%
8%
Source: 2011 King County Data Set (n=3,318)
*n=227
77
B5. Relapse Potential – Common Treatment Planning Needs
Source: 2011 King County Data Set (n=5,304)
Recovery Coach
CC after controlled environment
Significant time in controlled environment
Discuss substance abuse Tx his-tory
0% 20% 40% 60% 80% 100%
69%
16%
13%
2%
78
B6. Environment – Common Treatment Planning Needs
Any school past 90 daysEnvironmental risk
Coping with stress*Need for change**
Child maltreatmentSchool problems
Family fightingOther vocational help
Substance use in the homeFinancial counseling***Employed past 90 days
Housing situationRecent victimization
0% 20% 40% 60% 80% 100%
74%74%
67%66%
58%51%
37%35%
30%22%21%
19%18%
Source: 2011 King County Data Set (n=5,036)
*n=1,473 **n=1,946 ***n=1,531
79
Exploring Efficiency & Health Disparities
– Clients with Mod/High Need is the percent of all clients who at intake had ASAM cell placement of moderate problems; not in treatment (3), Severe problems; not in treatment (4), moderate problems, currently in treatment (6), or Severe problems; currently in treatment (7); divided by the number of all clients..
– Services going to those in high need is the percent of clients receiving a target service who met the above definition of Mod/High Need.
– Need but no treatment is the percent of clients who met the above definition of need who did NOT get the targeted services within 90 days of the intake.
80
Intoxication (at Intake) vs. Detox Treatment at 3 Months
*Current need on ASAM dimension B1 criteria (past 7 days)** ‘Services’ is self-reported receipt of detox treatment at 3 months
Source: 2011 King County Data Set Subset to has 3m Follow up (n=394)
Clients With Mod/High Need* (n=46/394)
Services** Going to Those in Need (n=2/9)
Need but No Service After 3 Months
(n=44/46)
0%10%20%30%40%50%60%70%80%90%
100%
12%22.2%
97%
81
Physical Health Problem (at Intake) vs. Medical Treatment at 3 Months
*Current Need on ASAM dimension B2 criteria (past 90 days)** ‘Services’ is self-report of any days of physical health treatment at 3 months Source: 2011 King County Data Set Subset to has 3m Follow up (n=390)
Clients With Mod/High Need* (n=139/390)
Services** Going to Those in Need
(n=59/134)
Need but No Service After 3 Months
(n=80/139)
0%10%20%30%40%50%60%70%80%90%
100%
36%44.0%
54%
82
Mental Health Problem (at Intake) vs. MH Treatment at 3 Months
*Current Need on ASAM dimension B3 criteria (past 90 days)** ‘Services’ is self-report of any days of mental health treatment at 3 months Source: 2011 King County Data Set Subset to has 3m Follow up (n=394)
Clients With Mod/High Need* (n=276/394)
Services** Going to Those in Need
(n=108/127)
Need but No Service After 3 Months
(n=168/276)
0%10%20%30%40%50%60%70%80%90%
100%
70%
85.0%
61%
83
Relapse Potential (at Intake) vs. Urine/Breathalyzer at 3 months
Clients With Mod/High Need* (n=355/396)
Services** Going to Those in Need
(n=300/339)
Need but No Service After 3 Months
(n=55/355)
0%10%20%30%40%50%60%70%80%90%
100% 90% 88.5%
16%
*Current Need on ASAM dimension B5 criteria (past 90 days)** ‘Services’ is self-reported receipt of one or more breathalyzer or urine test at 3 monthsSource: 2011 King County Data Set Subset to has 3m Follow up (n=396)
84
Recovery Environment (at Intake) vs. Self Help at 3 Months
*Current Need on ASAM dimension B6 criteria (past 90 days)** ‘Services’ is self-report of any days of self-help attendance at 3 months
Source: 2011 King County Data Set Subset to has 3m Follow up (n=387)
Clients With Mod/High Need* (n=379/387)
Services** Going to Those in Need
(n=122/124)
Need but No Service After 3 Months
(n=257/379)
0%10%20%30%40%50%60%70%80%90%
100%
98% 97%68%
85
GAIN Administration Fidelity Index (GAFI)
Max Breaks
Average Denial/ Misrepresentation
Context Effects
Inconsistencies
Administration Dura-tion
Don't Know's in Change Scale Items
Total GAINEdits**
GAFI*
0.0% 20.0% 40.0% 60.0% 80.0% 100.0%
100.0%
64.7%
50.2%
84.2%
84.8%
84.2%
66.7%
66.9%28.0%
Low Fidelity
Mod Fidelity
HighFidelity
Source: 2011 King County Data Set (n=5,538)
*Proportional sum of 7 items (n=3,063) **n=3245
86
GAFI – King CountyCompared to CSAT
CSAT(OR=1.0)
KC(OR=1.7)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
33%45%
High Fidelity (80-100%)
Moderate Fidelity (70-79%)
Low Fidelity(0-69%)
CSAT 2010 Summary Analytic Data Set (n=22,122)Sources: 2011 King County Data Set (n=3,063) and
87
GAFI by King County Agency
Source: 2011 King County Data Set (n=3,063)
*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
Consejo
Therap
eutic
Asian
Coun.
Navos
AuburnKen
tCHS
Vashon
Northsh
ore
WAPIF
ASA
Com. P
sych
Rento
n Are
a
Youth E
ast.
Friends
Inte
grativ
e
Sound MH
Valle
y Citi
es
Pionee
r0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
35% 39%53%
18%
67%
47%61%
41%49% 51% 56%
28% 28%
56%
17%25%
11%
High Fidelity (80-100%)
Moderate Fidelity (70-79%)
Low Fidelity(0-69%)
88
Cumulative Distribution of GAIN-IAdministration Time – KC vs CSAT
0 20 40 60 80 100
120
140
160
180
200
220
240
260
280
300
320
340
360
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
CSAT
King Co.
Time in Minutes
Sources: 2011 King County Data Set (n=5,507) and CSAT 2010 Summary Analytic Data Set (n=26,207)
Both Have Medians around 90-100 Minutes
89
GAIN-I Admin. Time by Count of Major Clinical Problems* at Intake
Source: 2011 King County Data Set (n=5,507)
Five to Twelve
Four
Three
Two
One
None
0 30 60 90 120 150 180
116
103
97
97
90
89
Time in Minutes*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
90
GAIN-I Administration Timeby King County Agency
Source: 2011 King County Data Set (n=5,507)
0
60
120
180
104113
134
97
127
74
99 95
114 10892 94
124 127
103112
143
89
168
M ed ia n Ti m e in
M in ut es
91
Cumulative Distribution of GAIN-M90Administration Time – KC vs CSAT
0 20 40 60 80 100
120
140
160
180
200
220
240
260
280
300
320
340
360
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
CSAT
King Co.
Time in Minutes
Sources: 2011 King County Data Set (n=700) and CSAT 2010 Summary Analytic Data Set (n=21,307)
KC faster than CSAT (Medians of 55 vs 95 Min.)
92
GAIN-M90 Administration Timeby King County Agency
Source: 2011 King County Data Set (n=647)
0
60
120
180
240
300
360
78
183
71 59 6541
78 68
119
59
96
50
165
8862
303
220
T i m e i n M i n u t e s
93
Percent of 1st Quarter 2012 Recruitswith 3 Month Follow-up
Source: 2011 King County Data Set (n=407 Q1 recruits, n=40 3-month follow-ups)
KC Tota
l
Consejo
Therap
eutic
Asian
Coun.
Navos
AuburnKen
tCHS
Vashon
Northsh
ore
WAPIF
ASA
Com. P
sych
Rento
n Are
a
Youth E
ast.
Friends
Inte
grativ
e
Sound MH
Valle
y Citi
es
Pionee
r0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
10% 8%0%
17%14%11%18%
6% 7%0% 4% 0%
33%
0%
15%
0% 3%
18%
0%
80% Target