!!!!!! !!!!!!!!!!!!!!!!!!!!!!!!!!P.!O.!Box!6448!!Reno,!NV!89513!•!Phone:!760:815:3515!•[email protected]! ! Title& Below&please&list&the&title&of&this&resource.&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& ! Where!Does!The!Data!Direct!Us?:!Addiction!Recovery!Management!and!the!Role!of!12:Step!Mutual!Help! Resources! ! Author& Below&please&list&the&author(s)&of&this&resource." ! John!F.!Kelly,!Ph.!D.!! ! Citation& Below&please&cite&this&resource&in&APA&style.&For&guidance&on&citation&format,&please&visit& http://owl.english.purdue.edu/owl/resource/560/01/& ! John!F.!Kelly,!Ph.!D.!(2012).!Where"Does"The"Data"Direct"Us?:"Addiction"Recovery"Management"and"the"Role"of" 12?Step"Mutual"Help"Resources."[PowerPoint!Slides].!Proceedings!from!the!3rd!National!Collegiate!Recovery!
Conference:!Understanding!and!Responding!to!Young!Adult!Addiction!and!Recovery:!Kennesaw,!Georgia.! ! Summary& Below&please&provide&a&brief&summary&of&this&resource.&If&an&abstract&is&available,&feel&free&to©&and&paste&it&here.& ! In!this!power!point!presentation!Dr.!Kelly,!provides!the!background!and!context!for!addiction!recovery! management,!the!rationale!and!conceptualization!of!addiction!recovery!management,!discusses!mutual:help! organizations,!and!elaborates!on!the!role!of!mutual:help!organizations!in!recovery!for!young!people.! ! Categorization& Below,&please&select&the&key&words&that&describe&how&this&resource&applies&to&our&research&on&thriving&collegiate& recovery.&If&the&keywords&below&do¬&apply,&please&select&‘other’&and&list&the&appropriate&key&word.& " X"Success"in"Established"Collegiate"Recovery"Programs" X"Success"in"Established"Recovery?Oriented"Systems"of"Care" "Asset?Based"Research/Methodology" X"General"Recovery"Assets" X"Interpersonal"Assets" X"Intrapersonal"Assets" X"Community?Based"Assets" X"History"of"Recovery" "Other:"______________________________________"
W
HERE
DOES
THE
DATA
DIRECT
US
?
A
DDICTION
RECOVERY
MANAGEMENT
AND
THE
ROLE
OF
12-
STEP
MUTUAL
HELP
RESOURCES
John F. Kelly, Ph.D.
Associate Professor in PsychiatryHarvard Medical School
Program Director Addiction Recovery Management Service Associate Director MGH Center for Addiction Medicine
“Mankind, ever in pursuit of pleasure,
have reluctantly admitted into the
catalogue of their diseases, those evils
which were the immediate offspring of
their luxuries”
-
Thomas Trotter (1798). An essay, medical, philosophical and chemical on the effects of alcohol on the human bodyO
VERVIEW
Background and Context
Rationale and Conceptualization: Addiction Recovery
Management
Mutual-help organizations
The role of mutual-help organizations in recovery
D
RUG
AND
A
LCOHOL
C
ONCERNS
• #1 public health problem (Institute for HealthPolicy, 2001; CASA, 2011)
• Of all disease, disability, and deaths due to all psych conditions, alcohol use disorder alone = 36%
Public
health
• $500 billion in US each year (lost productivity, criminal justice, medical costs)
• Excessive alcohol consumption costs society $2 per drink (CDC, 2011)
Financial
• SUD leading cause of mortality - alcohol leading risk factor among males 15-59 worldwide
• Opiate overdose – 2nd leading cause of
accidental death nationwide; 1st in 17 states
Mortality
• Onset of long-term problems occur during adolescence/young adulthood
• 90% adults with dependence start using before age 18
• 50% of adults start using before age 15
E
CONOMIC
COSTS
TO
SOCIETY
Bouchery et al. (2011), CDC (2012), US Department of Justice (2011)
$0 $50 $100 $150 $200 $250 $300 $350 $400 $450 Alcohol and
Illicit drugs Diabetes Obesity Smoking Heart disease
% U
SING
PRIOR
TO
AGE
15
0% 5% 10% 15% 20% 25% 30% 35% 1934-1944 1945-1955 1956-1960 1961-1965 1966-1970 1971-1975 1976-1980 1981-1985 1986-1990 % u si n g Alcohol use Marijuana Cocaine Hallucinogens%
MEETING
DSM-III-R
LIFETIME
ALCOHOL
DEPENDENCE
CRITERIA
Adapted from: Rice, J. P., Neuman, R. J., Saccone, N. L., Corbett, J., Rochberg, N., Hesselbrock, V., & ... Reich, T. (2003). Alcoholism: Clinical And Experimental Research, 27(1), 93-99.
0% 5% 10% 15% 20% 25% 30% 35% 1910-1929 1930-1939 1940-1949 1950-1959 1960-1979 Male (n=509) Female (n=545) Birth Cohort
S
UBSTANCE
U
SE
D
ISORDERS
(SUD)
IN
THE
P
AST
S
UBSTANCE
U
SE
AND
P
ROBLEM
O
NSET
AND
O
FFSET
NSDUH and Dennis & Scott 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+
No Alcohol or Drug Use Light Alcohol Use Only Any Infrequent Drug Use
Regular AOD Use Abuse
Dependence
National Survey on Drug Use and Health (NSDUH) Age Groups
W
HY
DOES
SUD
ONSET
IN
YOUNG
PEOPLE
?
D
EVELOPMENTAL
C
ONSIDERATIONS
& R
ISKS
Desire “forbidden (fermented) fruit” associated with “being grown up” New social freedoms with age of majority (i.e., 18 yrs = right to vote,
serve on jury/military/marry) independent living (e.g., college), employment/$$$
Exhilarating - activating abrupt cognitive shift in perceived control
and self-determination, but objective psychobiological reality =
continues to be gradual developmental changes - impulse control, self-regulation, risk appraisal (Giedd et al, 1999).
Lower sensitivity to (psychomotor) negative impairments than adults So, desire for “forbidden fruit” & self-expression coupled with
incongruency between subjective perceptions and objective reality creates new risks & challenges particularly regarding alcohol/drugs
E
MERGING
A
DULT
C
LINICAL
D
IFFERENCES
• Compared to adolescents and/or older adults, young adults:
• Have highest rates of co-occurring psychiatric problems (Chan,
Dennis et al, 2008)
• Rates of SUD that are 2-3x higher in this age-group than
either adolescents or older adults (SAMHSA, 2007)
• Are least likely to follow through with continuing care (Shin,
Lundgren et al, 2007).
• Have an earlier onset of alcohol/drug use, but report lower
readiness for change (Sinha, et al, 2003).
• More likely to relapse in social contexts (Brown et al, 1993)
O
VERVIEW
Background and Context
Rationale and Conceptualization: Addiction Recovery
Management
Mutual-help organizations
The role of mutual-help organizations in recovery
R
ATIONALE FORL
ONG-
TERMR
ECOVERY MANAGEMENT
Minority seek addiction care (SAMHSA, 2010;
Dawson et al, 2005); tx-seekers typically more
severe/complex
Chronic relapsing nature of addiction
requires a continuing care approach for those who
seek care, akin to management of other chronic
illnesses (e.g., diabetes and hypertension
(McLellan et al, 2000)
As in hypertension/diabetes, regular check-ups,
and self/medical monitoring prevent crises
(myocardial infarct; renal failure) and reduce
expensive medical care (hospitalization)
W
HY
ARE
RECOVERY
SUPPORT
SERVICES
IMPORTANT
?
Among treatment seekers
psychiatric, medical, legal,
education, employment, and family
problems
common
(Davidson et al, 2010)
–
impede effectiveness of
purely addiction-focused clinical efforts
Adding more addiction focused sessions
within a brief
time
period does not improve outcomes (e.g., Project
MATCH, 1997;; CYT;; Dennis et al, 2004)…
…but, adding recovery support services and
community mutual-help facilitation can enhance and
sustain tx gains (Boisvert et al, 2008; Kelly and
Yeterian, 2011; McLellan et al, 1998; Milby et al, 1996;
Rowe et al, 2007) adding to individuals’ “
recovery
capital
”
C
HRONIC NATURE OF SUBSTANCE DEPENDENCE MAKES IT WELL-SUITED TO ONGOING
R
ECOVERYM
ANAGEMENT(RM)
APPROACHES
…
Addiction talked as chronic but still
treated as acute condition:
Serial episodes of self-contained and
unlinked intervention
Implicit expectation that a lifelong cure
will occur following a single episode of “rehab”
Continuing care (“aftercare”) as
afterthought
Recovery management is a philosophy of
organizing addiction treatment and
recovery support services to enhance early pre-recovery engagement, recovery
initiation, long-term recovery
S
UPPORT
S
ERVICES
IN
THE
T
REATMENT
B
I
-
AXIAL
MODEL
OF
A
DDICTION
Addiction severity
Substance-related problems
(physical and mental health; housing; social and family relations; education and
employment)
Kelly et al, (under review) Reciprocal: Increasing severity leads
to more problems and more problems perpetuates continued use
B
I
-
AXIAL
MODEL
OF
RECOVERY
Addiction Remission
Recovery Capital
(physical and mental health; housing; social and family relations; education and
employment)
Kelly et al, (under review) Reciprocal: Increasing duration of remission leads
to greater recovery capital BUT ALSO greater recovery capital perpetuates continued remission
S
TRESS ANDL
IFES
ATISFACTION AS AF
UNCTION OFL
ENGTH OFR
ECOVERY(N = 354)
RECOVERY STAGE 3+ years 18 to 36 mos Six to 18 mos >6 months M ea n (s ca le ra ng e = 0 to 1 0) 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 Overall life satisfaction Stress rating pst yrW
HAT
ARE
R
ECOVERY
SUPPORT
SERVICES
?
Residential recovery homes (e.g., Oxford Houses)
Recovery community centers (RCCs)
Peer-based Recovery support
Education-based recovery support: high school
and college based recovery support for young
people
H
OW MIGHTR
ECOVERYS
UPPORTS
ERVICES AIDRECOVERY
?
I
NTRA-I
NDIVIDUALM
EDIATORSResidential recovery homes Recovery community centers Peer-based recovery support Education-based recovery support Mutual-help organizations Motivation Self-efficacy Coping Self-esteem/respect Hope/future orientation Spirituality/purpose/meani ng Recovery maintenance
R
ECOVERY CONTEXTS: E
DUCATIONB
ASEDR
ECOVERY SUPPORTSCollege education trumped money and social prestige as the pathway to health and happiness (Vaillant, 2011)
Despite big differences between core city sample and Harvard sample in
parental social class, college-tested intelligence, current income and job status,
health decline of inner-city men who obtained a college education was same as Harvard sample Education represents important recovery
A
SSOCIATION
OF
RECOVERY
SCHOOLS
Despite education being important to long term health and
well-being, college environment is recovery unfriendly -activities organized around alcohol/parties limiting social options; not wanting to disclose recovery status.
Collegiate Recovery Communities (CRCs) in some
colleges-safe place and sobriety-friendly network
Founding college programs:
- Augsburg College - Texas Tech University - Rutgers (1st to offer an
on-campus residence
hall for students it recovery)
15 participating high schools 16 participating colleges
Schools provide academic services and assistance with
recovery and continuing care, but they are not treatment centers
No experimental/comparative effectiveness trials to estimate
T
EXAS
T
ECH
U
NIVERSITY
: S
INGLE
GROUP
P
RE
-P
OST
D
ESIGN
To enter the CRC, students need to have 1 year of
recovery, attend at least 1 12-step on campus meeting per
week, and succeed in their classes
evaluation of the program: 2004-2005, N=82, (18-53 yrs
old)
relapse rate within a semester was 4.4%; most maintained
high GPA
A
UGSBURG
C
OLLEGE
S
TEP
U
P
PROGRAM
Support groups and sobriety-specific houses
Outcomes…
Annual avg relapse rate across 13 yrs = 13%, Down to about 7% in recent yrsR
UTGERS
R
ECOVERY
H
OUSE
DATA
2008-2011
Source: Laitman & McLaughlin (2011)
Annual avg relapse rate
across
E
DUCATIONAL
CONTEXT
RECOVERY
SUPPORT
PROGRAMS
: S
UMMARY
Programs are catching on rapidly in college
settings
Make return to college more attractive and
increases access; can have life-long ramifications
High retention, low relapse rates, and high
academic achievement
Comparative investigations lacking
–
would
inform the nature, content, and intensity of
support
O
VERVIEW
Background and Context
Rationale and Conceptualization: Addiction Recovery
Management
Mutual-help organizations
The role of mutual-help organizations in recovery
MUTUAL
-
HELP:
IMPLICATIONS FOR ENHANCING RECOVERY AND CONTAINING COST- 5
THINGS WE’
VE LEARNED:
1. Mutual-help organizations help offset burden of diseasefrom SUD
2. Mutual-help groups confer clinically meaningful benefits for
many different types of individuals above and beyond formal treatment services
3. Mutual-help groups work through mechanisms similar to
those operating in formal treatment
4. Mutual-help group participation can reduce healthcare
costs by reducing patients’ reliance on professional services
without any detriment to outcomes, and actually enhance outcomes
5. Empirically-supported clinical interventions (TSF) can
increase participation in mutual-help groups, reduce health care costs, and enhance outcomes
Kelly JF and Yeterian JD (In press). Empirical Awakening: The new science on mutual-help and implications for cost containment under health care reform. Substance Abuse
M
UTUAL
HELP
R
ESEARCH
- R
ECENT
H
ISTORY
Given public health
significance, Institute of Medicine (IOM, 1990) called for AA research.
state of science summarized
and further research opportunities outlined
(McCrady and Miller, 1993)
Past 20 yrs significant
increase in scientific
interest and rigor focused
on AA. 0 50 100 150 200 250 300 350 400 450 1960-70 1971-80 1981-90 1991-00 2001-10 Number of Publications on AA and NA 1960-2010
F
INDINGS
FROM
META
-
ANALYSES
Emrick et al. 1993 - 107 studies. AA attendance and involvement modest beneficial effect on drinking behavior
Tonigan et al., 1996 - 74 studies. Examined moderators of
effectiveness (i.e. outpatient vs. inpatient; study quality)
Studies generally, were “methodological poor” and underpowered
Kownacki & Shadish, 1999 – 21 studies. Examined controlled trials only
- Randomization confounded with coerced status (justice system required)
- Coerced individuals fared worse than individuals in other treatment or no treatment
- Coerced individuals may have better outcomes if coerced into other kinds of treatment
- Found support for 12-step-based tx and non-coerced AA attendance
F
ERRI
, A
MATO
, D
AVOLI
(2006)
(C
OCHRANE
R
EVIEW
)
Attempted to examine RCTs of AA or TSF 8 trials involving 3417 people were included. Findings:
AA may help patients to accept treatment and keep patients in
treatment more than alternative treatments
AA had similar retention rates
3 studies compared AA combined with other interventions
against other treatments and found few differences in the amount of drinks and percentage of drinking days
AA found to be as effective as other comparison
F
OR
WHOM
ARE
MUTUAL
-
HELP
GROUPS
PARTICULARLY
HELPFUL
/
NOT
HELPFUL
?
Clinical concerns member-group fit with 12-step
mutual-help organizations.
1. Dual-diagnosed (DD)?
2. Non-religious people?
P
SYCHIATRIC
C
OMORBIDITY
I.
SUDs frequently co-occur
with psychiatric illnesses
Concerns about
member-group fit of co-morbid with
typical 12-step groups
Barriers
Putative opposition to
medications
Clinical syndromes vs. “not
D
UAL
-D
IAGNOSIS
S
UMMARY
S
HOULD
DD
PATIENTS
BE
REFERRED
TO
AA/NA?
Attendance rates may be similar and many may
benefit (e.g. PTSD)
More severely impaired (e.g., psychosis) may
have more difficulty
Attendance rates may be similar but co-morbid
may require additional/more specific support
and/or greater facilitation (e.g. severe MDD)
R
ELIGIOUSNESS
& 12-
STEP
MUTUAL
-
HELP
Concerns about quasi-religious concepts
Implications for non-religious individuals
Referral to 12-step organizations should take
into account religious background.
Practice guidelines of APA, recommend
clinicians refrain from referring nonreligious
people to 12-step.
R
ELIGIOUSNESS
& 12-
STEP
MUTUAL
-
HELP
Winzelberg & Humphreys, (1999; N=3,018 male
veterans)
“Belief in God” did not relate to attendance
People lower in recent religious practices attended less
frequently
Degree of religiosity did not affect salutary relationship
between AA/NA and substance use outcomes at 1 and
3yrs (Kelly, Stout et al, 2006; Winzelberg et al, 1999)
Project MATCH - religiousness did not interact with txs
(Connors et al.2001)
Brown, et al (2001; N= 153)
–
no relationship between
religious involvement and frequency of 12-step
attendance
R
ELIGIOSITY
S
UMMARY
& R
ECOMMENDATIONS
:
Should non-religious patients be referred to 12-Step
mutual-help groups?
Little evidence to suggest not
Educate about “spirituality” vs. “religion” and socially mediated
benefits (e.g., Litt et al, 2009; Kelly et al, 2011)
50% of original membership atheist/agnostic (AA, 2001) Consider non-12-step: SMART Recovery; LifeRing; SOS
W
OMEN
AND
MUTUAL
-
HELP
I
Women make up about one-third of tx & AA population
Concern over fit of women in 12-step organizations
Emphasis on “powerlessness”
Minority status of women in 12-step groups. -
W
OMEN
AND
MUTUAL
-
HELP
II
Women appear to attend and benefit as much
as men (and get more involved)
Unclear whether women-only meetings
(common in AA) benefit women more
Unclear whether other women-specific
organizations (Women for Sobriety) may
improve outcomes for women
Given health care burden of
SUD, can Mutual-help group
participation reduce
healthcare costs by reducing
patients’ reliance on
professional services and
produce better outcomes?
C
OST
-
EFFECTIVENESS
(1)
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%Abstinent No SA-related problems No psychological problems No psychiatric problems
CBT TSF
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0
12-step attendance Inpatient days Outpatient visits
CBT TSF
C
OST
-
EFFECTIVENESS
(2)
C
OST
-
EFFECTIVENESS
II (1) 2YR F
OLLOW
-UP
0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% Abstinent No SA-related
problems No psychologicalproblems No psychiatricproblems
CBT TSF
C
OST
-
EFFECTIVENESS
II (2) 2YR F
OLLOW
-UP
0.0 2.0 4.0 6.0 8.0 10.0 12.0
12-step attendance Inpatient days Outpatient visits
CBT TSF
$12,129.00
$7,400.00
CBT TSF
Cost per patient over 1 year *
Cost per patient over 1 year *
H
EALTHC
ARE COST OFFSET POTENTIAL OFMHG
S(1)
CBT VS 12-STEP RESIDENTIAL TREATMENT
CBT Resulted in $4,729
greater costs per patient with sig. worse outcomes
$5,735.00
$2,440.00
CBT TSF
Cost per patient over 1-2 year
Cost per patient
CBT Resulted in $3,295
greater costs per patient with sig. worse
outcomes in Yr 2 Follow up
SOURCE: HUMPHREYS & MOOS, 2001; 2007
Compared to CBT-treated patients, 12-step treated patients more likely to be in recovery, at a $8,000 lower cost per pt over 2 yrs
How do Mutual help
organizations like AA help
individuals maintain recovery
over time?
What can such data tell us more
broadly about recovery
Social Psych Neuro-biology RELAPSE Cue Induced Stress Induced Drug Induced
How might MHGs like AA reduce relapse risk and sustain the recovery process?
AA-related social network changes may help avoid cues, reduce and tolerate distress, and maintain
abstinence minimizing drug-induced
relapse risks AA
(9-mo) Self-efficacy Negative Affect Baseline (BL) Covariates Age Race Sex Marital Status Employment Status Prior Alcohol Treatment MATCH Treatment group MATCH study site
Alcohol Outcomes (PDA/DDD)
(15-mo) Alcohol Outcomes
(PDA or DDD) (3-mo) AA attendance (BL) Self-efficacy Negative Affect (9-mo) Self-efficacy Positive Social (BL) Self-efficacy Positive Social (9-mo) Religious/Spiritual Practices (BL) Religious/Spiritual Practices (9-mo) Depression (BL) Depression
(9-mo) Social Network
“pro-abstinence”
(BL) Social Network
“pro-abstinence”
(9-mo) Social Network
pro-drinking”
(BL) Social Network
“pro-drinking”
Source: Kelly, Hoeppner, Stout, Pagano (2012). Determining the relative influence of the mechanisms of behavior change within Alcoholics Anonymous. Addiction, 107, 2, 289-299.
RELATIVEUNIQUE CONTRIBUTIONOFEACHMEDIATORIN EXPLAININGAA’SEFFECTSONALCOHOL OUTCOMES Self-efficacy (NA) 5% Depression 3% Spirit/Relig 23% Self-efficacy (Soc) 34% SocNet: pro-abst. 16% SocNet: pro-drk. 24% Aftercare (PDA) Self-efficacy (NA) 1% Depression 2% Spirit/Relig 6% Self-efficacy (Soc) 27% SocNet: pro-abst. 31% SocNet: pro-drk. 33% Outpatient (PDA) Self-efficacy (NA) 20% Depression 11% Spirit/Relig 21% Self-efficacy (Soc) 21% SocNet: pro-abst. 11% SocNet: pro-drk. 16% Aftercare (DDD) Self-efficacy (NA) 1% Depression 5% Spirit/Relig 9% Self-efficacy (Soc) 39% SocNet: pro-abst. 17% SocNet: pro-drk. 29% Outpatient (DDD) 51
Source: Kelly, JF, Hoeppner, B. Stout, RL, Pagano, M. (2011) Determining the relative importance of the mechanisms of behavior change within Alcoholics Anonymous,
RELATIVEUNIQUE CONTRIBUTIONOFEACHMEDIATORIN EXPLAININGAA’SEFFECTSONALCOHOL OUTCOMES Self-efficacy (NA) 5% Depression 3% Spirit/Relig 23% Self-efficacy (Soc) 34% SocNet: pro-abst. 16% SocNet: pro-drk. 24% Aftercare (PDA) Self-efficacy (NA) 1% Depression 2% Spirit/Relig 6% Self-efficacy (Soc) 27% SocNet: pro-abst. 31% SocNet: pro-drk. 33% Outpatient (PDA) Self-efficacy (NA) 20% Depression 11% Spirit/Relig 21% Self-efficacy (Soc) 21% SocNet: pro-abst. 11% SocNet: pro-drk. 16% Aftercare (DDD) Self-efficacy (NA) 1% Depression 5% Spirit/Relig 9% Self-efficacy (Soc) 39% SocNet: pro-abst. 17% SocNet: pro-drk. 29% Outpatient (DDD) 52
Source: Kelly, JF, Hoeppner, B. Stout, RL, Pagano, M. (2011) Determining the relative importance of the mechanisms of behavior change within Alcoholics Anonymous,
Addiction
Social recovery
environment particularly high risk for youth; substance use rising and peaking in emerging adulthood; common precursor to relpase
AA ATTENDANCE AND THE % CHANGE IN BOTH PRO-ABSTINENT AND PRO-DRINKING NETWORK TIES FROM TREATMENT INTAKE
TO THE 9-M (OP SAMPLE)
AA ATTENDANCE AND THE % CHANGE IN BOTH PRO-ABSTINENT AND PRO-DRINKING NETWORK TIES FROM TREATMENT INTAKE
TO THE 9-M (AC SAMPLE)
TSF D
ELIVERY
M
ODES
T S F O T HComponent of a treatment package (e.g., an additional group) Stand alone
Independent therapy Integrated into an existing therapy
As Modular appendage linkage component
e.g., Timko et al, (2006; 2007; 2011); Kahler et al, (2005); Sisson and Mallams, (1981)
e.g., Kaskutas et al, (2009)
e.g., Walitzer et al, (2008); Litt et al, (2009) e.g., Project MATCH
Research Group (1997); Litt et al, (2009)
O
VERVIEW
Background and Context
Rationale and Conceptualization: Addiction Recovery
Management
Mutual-help organizations
The role of mutual-help organizations in recovery
W
HAT
ABOUT
Y
OUTH
?
P
OTENTIAL
D
EVELOPMENTAL
B
ARRIERS
:
Only 2% of AA and NA members are under the age of 21; 13% under
30yrs
Youth-adult differences:
Recovery Specific:
- Addiction severity (withdrawal/consequences)
- Problem recognition/motivation for abstinence
Life-Context Specific:
- Younger age relative to AA/NA members mismatch with life-context factors (e.g., marriage, children, employment problems) /safety issues
- Dependence on parents for transportation/financial support
12-step Specific:
- Potential discomfort with spiritual/”religious”
May signify poor fit with 12-step fellowships’ emphases on complete
Y
OUTH
-S
PECIFIC
AA/NA
OUTCOMES
K
NOWLEDGE
:
Authors Year N Follow-up (Months) % Female M Age (No. of sites)Setting
Alford, Koehler, Leonard 1991 157 6, 12, 24 38% 16 Inpatient (1)
Brown 1993 140 12 42% 16 Inpatient (2)
Kennedy & Minami 1993 91 12 23% 16.5 Inpatient (1)
Hsieh, Hoffman, Hollister 1998 2,317 6, 12 35% 17-19 Inpatient (24)
Kelly, Myers, Brown 2000 99 6 60% 16 Inpatient (2)
Kelly, Myers, Brown 2002 74 6 62% 16 Inpatient (2)
Mason and Luckey 2003 95 3, 12 32% 22 Inpatient (2)
Grella, Joshi, Hser 2004 810 12 30% 16 Residential (8),STI (6), Outpatient (9)
Kelly, Myers, Brown 2005 74 6 62% 16 Inpatient (2)
Kelly, Brown et al 2008 160 6, 12, 24, 48, 72, 96 34% 13-18 Intensive outpatient (4) Chi, Kaskutas, Sterling et
al 2009 419 6, 12, 36 34% 13-18 Intensive outpatient (4)
Kelly, Dow, Yeterian 2010 127 3, 6 24% 16.7 Outpatient (1)
Chi, Sterling, Campbell, Weisner
In press 419 12, 36, 60, 72, 84 34% 13-18 Intensive outpatient(4)
Kelly and Urbanoski In press 127 3, 6, 12 24% 16.7 Outpatient (1)
R
ESULTS
: R
ATES
OF
A
TTENDANCE
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%0-6m 6m-1yr 1-2yr 2-4yr 4-6yr 6-8yr
Follow-Up % A tt e nd ing A A /N A Any Monthly Weekly
Any, Monthy, and Weekly AA/NA Attendance across 8 Years Following Inpatient Treatment
0 10 20 30 40 50 60 70 80 90 100 6m 12m 24m 48m 72m 96m % A tt end ing A A /N A w ee kly Time
8 Year follow-up across young adulthood : Trajectory Outcome Group attending AA/NA at least Weekly
Abstainers
Infrequent User
worse with time
Frequent User
Kelly JF, Brown SA, Abrantes, A. et al. Social Recovery Model: An 8-Year Investigation of Youth Treatment Outcome in Relation to 12-step Group Involvement. Alcoholism: Clinical and Experimental Research, 2008, 32, 8 1468-1478.
61
L
AGGEDGEE M
ODEL OFY
OUTHT
REATMENTO
UTCOME INRELATION TO
AA/NA
ATTENDANCE OVER8 Y
EARSKelly JF, Brown SA, Abrantes, A. et al. Social Recovery Model: An 8-Year Investigation of Youth Treatment Outcome in Relation to 12-step Group Involvement. Alcoholism: Clinical and Experimental Research, 2008, 32, 8 1468-1478.
Parameter Estimate Standard Error 95% Confidence Limits Z P Intercept 37.3071 6.9601 23.6656 50.9486 5.36 <.0001 Time 1.4424 0.8693 -0.2614 3.1462 1.66 0.0971 Gender -9.3380 2.6605 -14.5526 -4.1234 -3.51 0.0004 Pre-treatment PDA -0.0811 0.0490 -0.1772 0.0150 -1.65 0.0980 Moderate use -1.8816 0.9646 -3.7722 0.0090 -1.95 0.0511 Aftercare1 6m 0.4349 0.5158 -0.5761 1.4460 0.84 0.3991 Formal Treatment2 5.5669 3.2856 -0.8727 12.0065 1.69 0.0902 AA/NA2 1.9517 0.4512 1.0674 2.8360 4.33 <.0001 PDA2 0.5030 0.0371 0.4304 0.5757 13.56 <.0001
1= Sq root transformed; 2= Time varying covariate
On average over the 8 yr follow-up, youth gained an additional 2 days of abstinence for every AA/NA meeting attended over and above all other factors associated with better outcome
E
MERGING
ADULTS
AND
AA:
BENEFITS
IN
THE
YEAR
FOLLOWING
INPATIENT
TREATMENT
303 emerging adults, 18-24yrs; 26% female; 95%
White; 51% had comorbid axis I disorders
Assessed at intake and 1, 3, 6, and 12 months
following residential treatment
AA/NA
ATTENDANCE
ACROSS
TIME
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%Pre-tx 1m post-tx 3m post-tx 6m post-tx 12m post-tx Source: Kelly, Stout, Slaymaker
H
AVING
AN
AA/NA
SPONSOR
ACROSS
TIME
0% 10% 20% 30% 40% 50% 60%Pre-tx 1m post-tx 3m post-tx 6m post-tx 12m post-tx
Source: Kelly, Stout, Slaymaker (2012)
S
UBSTANCE
USE
OUTCOMES
AND
AA/NA
Controlling for substance use at treatment
intake, higher AA/NA attendance associated with
higher PDA across all follow-ups (M d = .55;
sps<.0001)
Having an AA/NA sponsor was related to better
outcomes and partially mediated the effects of
attendance on outcomes (Ps<.001).
Oversight/accountability provided by recovering
peer may enhance recovery outcomes
Source: Kelly, Stout, Slaymaker (2012)
66
67
Incremental benefits of select aspects of
12-step involvement
W
ITHIN-
PERSON CHANGE INPDA
FOR DISCRETE SUB-
GROUPS OFAA/NA
ATTENDEES FOLLOWING OUTPATIENTSUD
TREATMENT
(N=111)
0 10 20 30 40 50 60 70 80 90Admission 3 months 6 months 12 months
None (n=61)
Inconsistent (n=43) Weekly (n=7)
12-step attendance after admission:
Kelly, JF, Urbanoski, K. (In press) Youth Recovery Contexts: The incremental effects of 12-step attendance and involvement on adolescent outpatient outcomes Alcoholism: Clinical Experimental Research.
All teens Mostly teens Even mix Mostly adults All adults Me an D ay s A bs tin en t 100 95 90 85 80 75 70 65 60 55 50 Days Abstinent (3m) Days Abstinent (6m)
Kelly JF, Myers, MG Brown SA (2005). The effect of age composition of 12-step meetings on adolescent attendance and outcomes Journal of Child and Adolescent Chemical Dependency.
Moderators: Might Age Composition of AA/NA meetings moderate participation and derived benefits?
S
TATE OF THES
CIENCE OFP
EER-
BASEDM
UTUAL-H
ELP FOR YOUNG PEOPLE
All studies correlational/observational (self-selection);
varying degrees of scientific rigor to help rule out
self-selection
Of all studies, only 2 samples examined effects among
young adults (18-25)
Small to moderate effect sizes (similar to adult studies)
Higher 12-step participation rates seen among more
severe, 12-step-oriented inpatient samples; lower among
outpatients/CBT oriented programs
No experimental studies of TSF linkage strategies (one
underway)
Outcomes measured mostly restricted to alcohol/drug with
limited focus on other recovery outcomes (e.g., educational
attainment; absenteism; arrests; health)
S
UMMARY
Recovery support services provide meaningful indigenous help
within the environments in which people live; help build and sustain recovery capital.
Developmental milestones of education and training may be key
to long term recovery as well as physical and mental health
Few comparative studies examining the utility and impact of
recovery support services (exception: recovery homes).
Peer-based mutual-help has increasing evidence for benefit of a
similar magnitude to adults
TSF is an empirically supported treatment for adults, but
experimental studies of MHG facilitation needed to evaluate among young people
College recovery initiatives which often incorporate 12-step
philosophy, show great promise with high retention, low relapse rates, and higher than average GPA, but await more rigorous comparative evaluation
A
CKNOWLEDGEMENTS