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MIEDAR, PAMI and BEYOND Maxine Stitzer, Ph.D. Johns Hopkins SOM APHA Symposium Denver, CO November 10, 2010.

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Presentation on theme: "MIEDAR, PAMI and BEYOND Maxine Stitzer, Ph.D. Johns Hopkins SOM APHA Symposium Denver, CO November 10, 2010."— Presentation transcript:

1 MIEDAR, PAMI and BEYOND Maxine Stitzer, Ph.D. Johns Hopkins SOM APHA Symposium Denver, CO November 10, 2010

2 Stitzer Disclosures I have no financial or commercial interests to disclose

3 Outline Motivational Incentives study: MIEDAR Blending Product: PAMI Next steps in dissemination

4 CTN MIEDAR Study Strength of evidence for efficacy of contingent incentives led to a CTN clinical trial Purpose –Test effectiveness of an abstinence incentive intervention for stimulant abusers using a clinically feasible lower-cost fishbowl method

5 CTN MIEDAR Study Design Parallel studies (006, 007) –psychosocial counseling (N = 416) –methadone (N = 399) Target: stimulant negative urines Random assignment to UC with or without incentives Escalating prize draws for stimulant and alcohol- negative specimens $400 in prizes could be earned over 12 weeks

6 Points Escalate with Drug-Free Test Results & Reset with Positives Weeks Drug Free # Draws 1 2 4 5 3

7 Study Week Percentage Retained 0 20 40 60 80 100 24681012 RH = 1.6 CI=1.2,2.0 Incentives Improve Retention in Counseling Treatment Control Incentive 50% 35%

8 Incentives Reduce During-Treatment Stimulant Use in Methadone Patients 0 20 40 60 80 100 1357911131517192123 Study Visit Percentage of stimulant negative urine samples Abstinence Incentive Usual Care OR=1.98 (1.4-2.8)

9 Abstinence Incentives are Effective Therefore dissemination is warranted NIDA and CTN are committed to dissemination with ATTC as partners First team assembled to consider features and messages of a Blending Product

10 Dissemination Considerations A particular intervention was found to be effective in two particular study samples Should this exact protocol form the basis for a blending product? If not, what should be disseminated?

11 Dissemination Considerations: Where are we starting? Clinicians have had limited exposure to concept of positive incentives Little systematic training available Practice not wide-spread- few models

12 Dissemination Considerations Needs include: –better understanding of advantages –more familiarity with principles –more knowledge about techniques –access to resources and support materials Awareness enhancement is a first step

13 Promoting Awareness of Motivational Incentives SUCCESSFUL TREATMENT OUTCOMES

14 Find PAMI Blending Products nattc.org CTNdisseminationlibrary.org

15 PAMI Materials Video –history, principles, testimonials Slide shows (2) –history, principles, research background Resources and support materials –7 principles, order manual, research papers, funding ideas, client tracking forms

16 Good Job Small Good JobSmall JumboLarge Support Materials: DRAW TICKETS

17 PAMI Strengths –Lots of good information –Much is consistent with awareness goal –Useful materials that go beyond awareness goal Limitations –No actual training on principles or practice –No directions on how to use materials

18 Next Steps: What Clinicians Want & Need More help on how to implement –Formal training –Practical guidance & coaching –Hands-on experience & practice

19 Second MIEDAR Blending Product Let’s take advantage of modern technology! Training Implementation

20 Part 1: Computer-Based Training Teaches theoretical principles –didactics and case examples –Self-paced; self-correcting Case scenarios and hands-on exercises with feedback for appropriate choices Includes quizzes and CME credit

21 Part 2: Computer-Based Implementation Support Principle is to be user-friendly Goal is to provide a basic program with flexible options for individual client tailoring

22 Computer-Based Implementation Improve feasibility Improve consistency and fidelity Facilitate use of more complicated schedules (e.g. escalating)

23 Computer-Based Incentives Two TREATMENT PLANS –Attendance –Abstinence Client can be assigned to one or both and assignment can change over time –e.g. an active drug user could start with attendance then move to abstinence

24 Computer-Based Incentives: Counselor Jobs Set schedule and duration of Tx visits Select target drug(s) and urine test frequency Provide client with feedback and incentives Alter Tx plan as needed

25 Computer-Based Incentives: Computer’s Jobs Track and display client progress Calculate number of draws to award under an escalating schedule Determine and display prize winnings according to pre-programmed probabilities

26 Treatment Plan Examples Joe S can earn up to $300 in prizes if he attends all scheduled sessions (2X per week) for 8 weeks Wanda P. can earn up to $400 in prizes if she tests negative for opiates, cocaine and MJ in 1X per week random urine testing during first 12 weeks of treatment

27 Treatment Plan Examples Mark W can earn up to $200 in prizes if he attends 2X per week for the first 6 Tx weeks In weeks 7 - 18, he can earn up to $400 if he tests negative for cocaine and alcohol during 1X per week random testing

28 Features of Computer-Based Treatment Plans Clearly specifies target behavior, frequency of assessment, amount that can be earned and duration of the program Allows flexibility in all parameters and ability to change Tx plan based on client progress

29 Development Timeline Work in-progress by all partners –NIDA Office of Policy & Communications –Great Lakes ATTC, –NIDA Intramural Research Group Products to be released next spring? Look for products @ nattc.org or ctndisseminatonlibrary.org

30 Future Directions Promotion of new blending product Adoption by a large number of clinics More research to answer key clinician queries –How much is enough (prize value)? –How long is enough (incentive exposure)? –How can use of two targets be optimized?

31 Your Personal Counseling Program Urine Test Results OPS COC METH Pos Neg Fingerprint ID Scan Call Customer Service Take Your Pills Future of Techno Treatment? Activate Computer Therapy Program Take Money Or Gift Card Place Urine Sample Here


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