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Adaptive Treatment Strategies in the Addictions: Current Examples and Future Directions

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Title: Adaptive Treatment Strategies in the Addictions: Current Examples and Future Directions


1
Adaptive Treatment Strategies in the
AddictionsCurrent Examples and Future
Directions
  • James R. McKay, Ph.D.
  • Professor of Psychology in Psychiatry
  • University of Pennsylvania
  • CTN Meeting
  • 3.22.07

2
Overview of Presentation
  • Major problems in providing addiction treatment
    and how weve tried to address them
  • Adaptive treatment models and how they are
    developed
  • Examples of adaptive treatment in specialty care
  • Examples of adaptive treatment in other treatment
    settings
  • Challenges in designing and implementing adaptive
    treatment protocols

3
Problems in Addiction Treatment
  • High rates of dropout and continued alcohol and
    drug use
  • In community-based programs
  • In research protocols
  • Even with evidence-based treatments, considerable
    response heterogeneity

4
Attempts to Address Nonresponse?
  • Improve existing treatments
  • Develop new treatments
  • Tailoring, or matching treatments to subgroups
    of patients
  • Results???

5
Still left with variable response..
  • Even when treatment delivery is standardized and
    high adherence to manual is achieved, some
    patients do well and others do not.
  • Very hard to predict who will do well in a
    particular treatment
  • Some patients do well at first, but then
    deteriorate
  • Nonresponse often blamed on the patient, but that
    is likely not the whole story.

6
Another Possible Approach?Adaptive Treatment
7
In Adaptive Treatment Protocols
  • Treatment is tailored or modified on the basis of
    measures of response (e.g., symptoms, status, or
    functioning) obtained at regular intervals during
    treatment
  • Goal is to deliver the treatment that is most
    effective for a particular patient at a
    particular time.
  • Rules for changing treatment are clearly
    operationalized and described..
  • If..Then
  • Temporal issues important when has sufficient
    time elapsed to indicate non-response?

8
How Do You Put Together an Adaptive Protocol?
9
Experimental Design for Developing Adaptive
Protocols
  • Use randomization to develop optimal adaptive
    treatment strategies
  • Example What to do with early non-responders?
  • Switch treatment?
  • Augment treatment?
  • Determine the set of decision rules and
    interventions that produce the highest percentage
    of responders
  • THEN.
  • Compare the optimal adaptive protocol to TAU or
    other treatments in standard RCT

10
The alternative approach.
  • Devise adaptive protocol on the basis of
  • Expert clinical judgment
  • Feedback from patients
  • Prior research findings
  • Face validity
  • Compare that adaptive protocol to TAU or other
    treatment in standard RCT
  • Pros and Cons Faster than experimental
    approach, but protocol may be flawed

11
Examples of Adaptive Protocols from Addiction
Specialty Care
12
Recovery Management Checkups
  • Protocol developed by Dennis, Scott et al.
  • Interview patients every quarter for 2 years
  • If patient reports any of the following
  • Use of alcohol or drugs on gt 2 weeks
  • Being drunk or high all day on any days
  • Alcohol/drug use led to not meeting
    responsibilities
  • Alcohol/drug use caused other problems
  • Withdrawal symptoms
  • .. .Patient transferred to linkage manager

13
RMC
  • Linkage Manager provides the following
  • Personalized feedback
  • Explore possibility of returning to treatment
  • Address barriers to returning to treatment
  • Schedule an intake assessment
  • Reminder cards, transportation, and escort to
    intake appointment

14
Results RMC vs. TAU
  • Time to return to treatment
  • 376 vs. 600 days (plt .05)
  • Total days of treatment
  • 62 vs. 40 days (plt .05)
  • In need of treatment at 24 months
  • 43 vs. 56 (plt .01)
  • In need of treatment in at least 5 quarters
  • 23 vs. 32 (plt .05)

Dennis et al. (2003) Evaluation and Program
Planning, 26, 339-352
15
Adaptive Methadone Treatment
  • Brooner Kidorf (2002) protocol
  • Methadone patients start in low intensity
    psychosocial condition
  • Missed session or dirty/missing urine leads to
    increases in psychosocial counseling
  • Providing additional contingencies for
    participation further improves outcomes
  • More/less convenient dosing times
  • Methdone taper and possible discharge

16
Penn Telephone Continuing Care Study
  • Patients
  • 359 graduates of 4-week IOP programs
  • Cocaine (75) and/or alcohol (75) dependent
  • Continuing care treatment conditions (12 weeks)
  • Standard group counseling (STND)
  • Individualized relapse prevention (RP)
  • brief telephone-based counseling (TEL)

McKay et al., 2004, Journal of Consulting and
Clinical Psychology
17
Continuing Care Conditions
  • Telephone Monitoring and Counseling
  • Weeks 1-4, patients make a 15 minute call and
    attend a transition group (1x/week _at_)
  • Weeks 5-12, patients have telephone contact only
    (1x/week)
  • During calls, patients report results of
    self-monitoring and progress toward 1-2 goals,
    and plan goals for next week
  • Patients use a workbook that structures
    intervention for each week.
  • Total minutes of contact with therapist 50 of
    minutes in other conditions

18
Total Abstinence Rates
Tx Main Effect TEL gt STND plt .05
McKay et al., 2005, Archives of General Psychiatry
19
Adaptive Treatment Strategy Using Progress in
Initial Phase of Treatment to Select
OptimalContinuing Care Models
20
7-Item Composite Risk Indicator
  • Failure to achieve key goals while in IOP
  • Any alcohol use in prior 30 days
  • Any cocaine use in prior 30 days
  • Attendance at lt 12 self-help meetings in prior 30
    days
  • Social support lt median for the sample
  • Does not have goal of absolute abstinence
  • Self-efficacy lt 80
  • Current dependence on both alcohol and cocaine
  • (each item yes1, no0)

McKay et al., 2005, Addiction, Archives of
General Psychiatry
21
Distribution of Scores on the Composite Risk
Indicator
Mean score 2.50
22
TEL vs. STND contrast X Risk Index Score p lt .05
23
(No Transcript)
24
Extended Telephone-Based Adaptive Protocol for
the Management of Cocaine Dependence
25
Design
  • Patients Cocaine dependent IOP participants
    recruited after achieving early engagement
  • Treatment conditions
  • Treatment as usual (TAU)
  • TAU plus adaptive protocol (24 mo.)
  • TAU plus adaptive protocol (24 mo.), plus
    incentives for participation and cocaine-free
    urines (12 mo)
  • Outcomes assessed over 24 months

26
The Telephone Calls
  • Frequency weekly at first, titrated to
    bimonthly
  • Each call starts with a brief risk assessment
    that assesses negative and positive factors and
    yields overall risk score (low, moderate, high)
  • Similar protocol to prior study for telephone
    counseling
  • Provide feedback on risk level
  • Review progress/goals from last call
  • 3. Identify upcoming high-risk situations
  • 4. Select target for remainder of call
  • 5. Brief problem-solving regarding target
    concern(s)
  • 6. Set goal(s) for interval before next call
  • 7. Suggest change in level of care if warranted

27
Adaptive Protocol
  • Increases in services triggered when risk reaches
    moderate level
  • First increase frequency of phone calls
  • Second bring patient in for 1-2 face-to-face
    evaluation and motivational interviewing (MI)
    sessions
  • Third provide 8 CBT relapse prevention sessions
  • Fourth refer back to IOP

28
Examples of Adaptive Protocols from Non-Specialty
Addiction Care
29
Adaptive Primary Care Protocols for Heavy
Drinkers
  • Kristenson et al. (1983, 2003)
  • Patients randomized to visits with a nurse (every
    month) and physician (every 3 months), vs. TAU
  • Both provided for up to 4 years
  • GGT levels monitored, and treatment/drinking
    goals modified on basis of scores
  • Results fewer sick days, fewer hospital days,
    lower mortality over 6 and 16 years than TAU

30
Adaptive Continuing Care Naltrexone Protocol
  • OMalley et al. (2003) study of NTX treatment
    comparing primary care (PC) and specialty care
    (CBT) approaches
  • First, pts given NTX and randomized to PC or CBT
    for 10 weeks
  • Responders (57) further randomized
  • PC plus extended NTX vs. placebo (24 wks)
  • CBT plus extended NTX vs. placebo (24 wks)

31
Alcohol Use Results and Interpretations
  • Findings
  • Initiation phase PCCBT
  • Extended PC phase NTX gt placebo
  • Extended CBT phase NTX placebo
  • Resulting treatment algorithm
  • If patient responds to PC and NTX in first 10
    weeks, continue both for at least 24 more weeks
  • If patient responds to CBT and NTX in first 10
    weeks, continue CBT but stop NTX
  • Note no guidance regarding nonresponders

32
Adaptive Naltrexone Study(David Oslin, PI)
  • Experimental design to determine optimal
    algorithms for naltrexone responders and
    nonresponders
  • All patients begin with 8 week trial of open
    label naltrexone, plus weekly medication
    management session
  • During the 8 week trial, patients self-select
    into Responder and Non-responder groups
  • First randomization Different definitions of
    non-response
  • More than 1 heavy drinking day
  • More than 4 heavy drinking days

33
Adaptive Naltrexone, cont.
  • Second Randomization
  • Nonresponders
  • Add CBI and drop NAL (i.e., switch)
  • Add CBI and continue NAL (i.e., augment)
  • Responders
  • NAL script plus no further care
  • NAL script plus telephone disease management

34
Adaptive Intervention Strategies Embedded in
Oslin Trial
35
Comparing Definitions of Response
36
Comparing Augment vs. Switch for NonResponders
37
Summary of Possible Adaptations
  • Non-responders
  • Step up (e.g., OP to IOP or residential)
  • Lateral move (e.g., CBT to TSF)
  • Modality change (e.g., CBT to medication)
  • Step down (e.g., IOP to telephone monitoring)
  • Responders
  • Reduce frequency of intervention (e.g., IOP to
    OP)
  • Change to lower burden intervention (e.g., OP to
    periodic check-ups, or e-treatment)

38
Adaptive Treatment and the CTNDifficult
Problems.. But Big Opportunitiesand
Potential Benefits
39
Challenges in Adaptive Treatment
  • Clinical
  • Keeping patients engaged, especially when
    deterioration occurs
  • Increasing compliance with adaptive changes,
    especially step ups
  • Identifying alternative treatments for
    non-responders
  • Lack of a variety of effective medications
  • Are different types of talk therapy really
    different enough?
  • How important is patient preference/choice?

40
Challenges, cont.
  • Research
  • Incorporating choice in algorithms
  • Comparing heterogeneous condition to other
    interventions
  • Sequential randomization designs
  • Randomizing patients 2 times
  • Analytic issues (first decision)
  • Power
  • Primary vs. secondary comparisons
  • New methods under development

41
Focus of Efforts in Treatment Development
  • Emphasis in field has been on improving efficacy
    and adherence to manuals, and coming up with more
    cost-effective approaches.
  • Shift emphasis to making participation more
    attractive to the patients to improve retention
  • Greater weight to patient choice at intake, and
    for non-responders
  • Use of more convenient forms of care whenever
    possible
  • Incentives for participation?

42
Possible Research Designs
  • Adaptive strategies to address early dropout
  • Test providing a menu of treatment options vs.
    efforts to re-engage in standard care
  • So you dont like IOP. How about.?
  • Adaptive medication algorithms
  • Start with promising med augment with or switch
    to additional medication for nonresponders

43
Research Designs, cont.
  • Adaptive studies that combine behavioral and
    pharmacological interventions
  • Start with medication and low intensity
    behavioral treatment, step up to more intensive
    treatment if no response
  • Offer non-responders sequential package that
    first involves switching meds, but then includes
    augmentation with stepped up behavioral treatment
    if response still not achieved.

44
Acknowledgments
  • Colleagues
  • NIDA CTN algorithms group
  • Dave Oslin, Kevin Lynch, Tom TenHave
  • Susan Murphy, Linda Collins
  • Grant support
  • NIDA K02-DA00361, R01-DA14059, R01-DA20623
  • NIAAA R01AA14850
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