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Learning Session #2 Philadelphia, PA March 15, 2012 May 22, 2012

Learning Session #2 Philadelphia, PA March 15, 2012 May 22, 2012

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Learning Session #2

Philadelphia, PAMarch 15, 2012May 22, 2012

Research Team

Dennis McCarty, Ph.D.Raina Croff, Ph.D.

Oregon Health & Science University

Portland, OR

Jay Ford, Ph.D.Kimberly Johnson, MBAUniversity of Wisconsin

NIATxMadison, WI

Mady Chalk, Ph.D.Jack Kemp, MS

Kelly Alanis-Hirsch, Ph.D.Treatment Research Institute

Philadelphia, PA

Laura Schmidt, Ph.D.University of California

Berkley, CA

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Research Team Roles

Coaching(facilitate adoption of medications,

physician linkages, & change project problem solving)Dennis, Mady, Jack, Kelly, Kim, Jay

Qualitative Evaluation

(Interviews to understand barriers & facilitators)Laura, Raina, Kelly

Quantitative Evaluation

(Examine utilization & expenditure data to compare MAT effectiveness)

All team members

Medication Research Partnership Project

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Months 1-7 Months 8-14 Months 15-22 Months 23-41

Oct – May2011 - 2012

Jun – Dec2012

Jan – Aug2013

Sep – Apr2013 - 2015

Change Cycle 1 Change Cycle 2 Change Cycle 3 Follow-up

Learning Session 1 (Oct 2011)

Learning Session 2(May 2012)

Learning Session 3

(TBA)

Learning Session 4

(TBA)

Interview 1 Interviews 2 & 3 Interviews 4 & 5 Interviews 6 &7

Periodic Coaching Calls

Medication Research Partnership Participation Timeline

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MRP

Tx Center Location

Bowling Green Brandywine

Kennet Square, PA

Eagleville Hospital Eagleville, PA

Horsham Clinic Ambler, PA

Livengrin Foundation Bensalem, PA

Mirmont Lima, PA

Mountain Manor Rockville, MD

Pace, Inc. Wilmington, DE

Penn Foundation Sellersville, PA

White Deer Run Allenwood, PA

Medication Research Partnership Who We Are

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Medication-Assisted Treatment: Systematic Review and Meta-analysis of Utilization and Cost

Studies

Dennis McCarty, PhD

Medication Research Partnership

Learning Session 2

Philadelphia, PA

May 22, 2012

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Disclosure and Aim

• A research services agreement with Alkermes supported the analysis (the maker of Vivitrol)

• A systematic review of utilization and cost of health care following pharmacotherapy

• Mark et al. (2010) Am J Managed Care, 879 – 888.

• Baser et al. (2011) Am J Managed Care, S222-S234.

• Baser et al. (2011) Am J Managed Care, S235-S246.

• Bryson et al. (2011) Am J Managed Care, S213-S221.

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Methods• Electronic literature search and abstract review

• 16 potential studies

• Four included XR-NTX and utilization and cost of care

• A meta-analysis extracted data and estimated overall effects• medication vs. no medication

• compared effects within patients using medication

• Effect measured as standard mean difference

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Results

• Patients using medication had lower healthcare utilization and cost of care

• XR-NTX patients had more days of medication

• Compared to other medications, XR-NTX was associated with • fewer detoxification days,

• fewer alcohol and drug-related inpatient days

• lower total costs of care

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Medication Versus No MedicationInpatient Substance Related Days

Standard Mean Difference

.

.

Overall (I-squared = 52.8%, p = 0.096)

Baser, Opioid

Baser, Alcohol

ID

Opioid

Mark

Subtotal (I-squared = .%, p = .)

Study

Subtotal (I-squared = 54.1%, p = 0.113)

Alcohol

Bryson

-0.13 (-0.22, -0.03)

-0.24 (-0.42, -0.07)

-0.17 (-0.26, -0.08)

ES (95% CI)

-0.01 (-0.14, 0.11)

-0.24 (-0.42, -0.07)

-0.10 (-0.20, -0.00)

-0.09 (-0.23, 0.05)

-0.13 (-0.22, -0.03)

-0.24 (-0.42, -0.07)

-0.17 (-0.26, -0.08)

ES (95% CI)

-0.01 (-0.14, 0.11)

-0.24 (-0.42, -0.07)

-0.10 (-0.20, -0.00)

-0.09 (-0.23, 0.05)

0-1 0 1

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XR-NTX versus Other Medications

• Alcohol dependence: XR-NTX vs tablet NTX, disulfiram, acamprosate)• Basur: n=15,502; PharMetrics data

• Bryson: n=5,141; Aetna Behavioral Health plan data

• Mark: n=9,503; MarketScan data

• Opioid dependence: XR-NTX vs tablet NTX, buprenorphine, methadone• Basur: n=10,513; PharMetrics data

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Number of Days with Medication Coverage

.

.

Overall (I-squared = 0.0%, p = 0.854)

Subtotal (I-squared = 0.0%, p = 0.723)

Mark

Bryson

Study

Baser, Opioid

Opioid

Alcohol

Subtotal (I-squared = .%, p = .)

Baser, Alcohol

8.38 (5.20, 11.56)

8.57 (5.23, 11.90)

7.20 (-1.24, 15.64)

8.23 (4.27, 12.19)

days covered (95% CI)

6.51 (-4.10, 17.12)

difference in

6.51 (-4.10, 17.12)

11.90 (2.85, 20.95)

8.38 (5.20, 11.56)

8.57 (5.23, 11.90)

7.20 (-1.24, 15.64)

8.23 (4.27, 12.19)

days covered (95% CI)

6.51 (-4.10, 17.12)

difference in

6.51 (-4.10, 17.12)

11.90 (2.85, 20.95)

XR-NTX worse NR-NTX better 0 100

Overall (I-squared = 71.1%, p = 0.031)

Baser

Bryson

Mark

Study

15.08 (5.49, 24.67)

15.84 (3.79, 27.89)

21.85 (14.76, 28.95)

7.20 (-1.10, 15.50)

days covered (95% CI)

difference in

15.08 (5.49, 24.67)

15.84 (3.79, 27.89)

21.85 (14.76, 28.95)

7.20 (-1.10, 15.50)

days covered (95% CI)

difference in

XR-NTX worse NR-NTX better 0 100-10

Tablet Naltrexone Disulfiram

Overall (I-squared = 46.6%, p = 0.154)

Mark

Baser

Study

Bryson

17.84 (10.94, 24.75)

12.60 (5.42, 19.78)

difference in

19.09 (4.56, 33.62)

days covered (95% CI)

22.39 (15.50, 29.28)

17.84 (10.94, 24.75)

12.60 (5.42, 19.78)

difference in

19.09 (4.56, 33.62)

days covered (95% CI)

22.39 (15.50, 29.28)

XR-NTX worse NR-NTX better 0 100-10

Acamprosate

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Inpatient substance-abuse days*

*Standardized Mean Difference

.

.

Overall (I-squared = 52.8%, p = 0.096)

Subtotal (I-squared = 54.1%, p = 0.113)

Baser, Opioid

Subtotal (I-squared = .%, p = .)

Baser, Alcohol

Bryson

Study

Mark

Alcohol

Opioid

-0.13 (-0.22, -0.03)

-0.10 (-0.20, -0.00)

-0.24 (-0.42, -0.07)

-0.24 (-0.42, -0.07)

-0.17 (-0.26, -0.08)

-0.09 (-0.23, 0.06)

SMD (95% CI)

-0.01 (-0.14, 0.11)

-0.13 (-0.22, -0.03)

-0.10 (-0.20, -0.00)

-0.24 (-0.42, -0.07)

-0.24 (-0.42, -0.07)

-0.17 (-0.26, -0.08)

-0.09 (-0.23, 0.06)

SMD (95% CI)

-0.01 (-0.14, 0.11)

XR-NTX better NR-NTX worse 0-1 0 1

Overall (I-squared = 0.0%, p = 0.425)

Mark

Baser

Study

Bryson

-0.12 (-0.18, -0.06)

-0.07 (-0.18, 0.05)

-0.16 (-0.24, -0.08)

SMD (95% CI)

-0.10 (-0.24, 0.04)

-0.12 (-0.18, -0.06)

-0.07 (-0.18, 0.05)

-0.16 (-0.24, -0.08)

SMD (95% CI)

-0.10 (-0.24, 0.04)

XR-NTX better NR-NTX worse 0-.25 0 .25

Acamprosate

DisulfiramTablet Naltrexone

Overall (I-squared = 29.5%, p = 0.242)

Mark

Bryson

Baser

Study

-0.13 (-0.20, -0.05)

-0.04 (-0.16, 0.08)

-0.15 (-0.30, -0.00)

-0.17 (-0.25, -0.08)

SMD (95% CI)

-0.13 (-0.20, -0.05)

-0.04 (-0.16, 0.08)

-0.15 (-0.30, -0.00)

-0.17 (-0.25, -0.08)

SMD (95% CI)

XR-NTX better NR-NTX worse 0-.25 0 .25

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Overall (I-squared = 42.9%, p = 0.186)

Baser

Study

Bryson

-2728.77 (-4481.54, -976.01)

-3588.00 (-5395.53, -1780.47)

absolute difference (95% CI)

-1798.00 (-3736.84, 140.84)

-2728.77 (-4481.54, -976.01)

-3588.00 (-5395.53, -1780.47)

absolute difference (95% CI)

-1798.00 (-3736.84, 140.84)

XR-NTX better NR-NTX worse 0-5000 0 5000

Overall (I-squared = 20.8%, p = 0.261)

Study

Baser

Bryson

-596.73 (-1528.64, 335.17)

difference (95% CI)

-350.00 (-1099.57, 399.57)

-1513.00 (-3397.96, 371.96)

absolute

-596.73 (-1528.64, 335.17)

difference (95% CI)

-350.00 (-1099.57, 399.57)

-1513.00 (-3397.96, 371.96)

absolute

XR-NTX better NR-NTX worse 0-1000 0 1000

Total Costs

.

.

Overall (I-squared = 0.0%, p = 0.407)

Subtotal (I-squared = .%, p = .)

Baser, Opioid

Opioid

Alcohol

Bryson

Subtotal (I-squared = 43.5%, p = 0.183)

Baser, Alcohol

Study

5.17 (-635.39, 645.72)

-321.00 (-4077.78, 3435.78)

-321.00 (-4077.78, 3435.78)

absolute

-1309.00 (-3364.97, 746.97)

-241.03 (-1526.89, 1044.84)

162.00 (-523.23, 847.23)

difference (95% CI)

5.17 (-635.39, 645.72)

-321.00 (-4077.78, 3435.78)

-321.00 (-4077.78, 3435.78)

absolute

-1309.00 (-3364.97, 746.97)

-241.03 (-1526.89, 1044.84)

162.00 (-523.23, 847.23)

difference (95% CI)

XR-NTX better NR-NTX worse 0-5000 0 5000

Tablet Naltrexone

Acamprosate

Disulfiram

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Discussion & Next Steps

• Patients using medication appear to have fewer detox and inpatient admissions.

• Total costs of care appear to be lower for patients using medication

• XR-NTX was associated with greater savings

• Limitations• Limited numbers of studies

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Acknowledgements

• Daniel Hartung, Rochell Fu, Katharina Wiest, Mady Chalk, David Gastfriend

• Supported through a research services agreement from Alkermes

• Data presented at the 2012 American Psychiatric Association Annual Meeting

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