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Adaptive Treatment Strategies in the Addictions: Current Examples and Future Directions. James R. McKay, Ph.D. Professor of Psychology in Psychiatry University of Pennsylvania CTN Meeting 3.22.07. Overview of Presentation.
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Adaptive Treatment Strategies in the Addictions:Current Examples and Future Directions James R. McKay, Ph.D. Professor of Psychology in Psychiatry University of Pennsylvania CTN Meeting 3.22.07
Overview of Presentation • Major problems in providing addiction treatment and how we’ve 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
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
Attempts to Address Nonresponse? • Improve existing treatments • Develop new treatments • Tailoring, or “matching” treatments to subgroups of patients Results???
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.
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 mosteffective 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”?
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
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
Examples of Adaptive Protocols from Addiction Specialty Care
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 > 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
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
Results: RMC vs. TAU • Time to return to treatment 376 vs. 600 days (p< .05) • Total days of treatment 62 vs. 40 days (p< .05) • In need of treatment at 24 months 43% vs. 56% (p< .01) • In need of treatment in at least 5 quarters 23% vs. 32% (p< .05) Dennis et al. (2003) Evaluation and Program Planning, 26, 339-352
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
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
Continuing Care Conditions • Telephone Monitoring and Counseling • Weeks 1-4, patients make a 15 minute call and attend a “transition” group (1x/week @) • 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
Total Abstinence Rates Tx Main Effect TEL > STND p< .05 McKay et al., 2005, Archives of General Psychiatry
Adaptive Treatment Strategy:Using Progress in Initial Phase of Treatment to Select OptimalContinuing Care Models
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 < 12 self-help meetings in prior 30 days • Social support < median for the sample • Does not have goal of absolute abstinence • Self-efficacy < 80% • Current dependence on both alcohol and cocaine (each item: yes=1, no=0) McKay et al., 2005, Addiction, Archives of General Psychiatry
Distribution of Scores on the Composite Risk Indicator Mean score= 2.50
Extended Telephone-Based Adaptive Protocol for the Management of Cocaine Dependence
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
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
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
Examples of Adaptive Protocols from Non-Specialty Addiction Care
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
Adaptive Continuing Care Naltrexone Protocol • O’Malley 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)
Alcohol Use Results and Interpretations • Findings: • Initiation phase: PC=CBT • Extended PC phase: NTX > 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
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
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
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)
Adaptive Treatment and the CTN:Difficult Problems………….. But Big Opportunitiesand Potential Benefits
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?
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
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?
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 don’t like IOP. How about…….?” • Adaptive medication algorithms • Start with promising med– augment with or switch to additional medication for nonresponders
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.
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