RELATIONSHIP RELATIONSHIPBETWEEN BETWEENADHERENCE ADHERENCETO TO ANTIRETROVIRAL ANTIRETROVIRALTHERAPY THERAPYAND ANDTHE THECOSTCOSTEFFECTIVENESS EFFECTIVENESSOF OFANTIRETROVIRAL ANTIRETROVIRALTHERAPY THERAPY
Habib MJ, Lawson KA, Summers KK, Eakin RT, Barner JC, Brown CM, Shepherd MD
University of Texas, Austin South Texas Veterans Health Care System
Introduction : Adherence Clinical and Economic Impact
Non-adherence to HAART is typical [1-10] Adherence is the critical determinant of survival [11] Mixed economic results [12-20]
Introduction: Objectives Adherence to ARV Therapy Cost-effectiveness of ARV regimens
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Methodology Study Design Retrospective clinical data Markov model
Methodology : Inclusion Sample Texas Department of Veterans Affairs (VA) October, 1 1997 and September, 30 2003
Identifying HIV Infection Post 1994 ICD 9 Codes - 042, V08, 795.71 Pharmacy Claims
National Drug Code ARV
Methodology : Inclusion Prescription < 2 consecutive ARV prescriptions Rx/Dx CD4 350
200 < CD4 350
(A)
(B)
CD4 200 Asympt AIDS (C)
Symp AIDS
(D)
Methodology : Costs HERC
Inpatient & Outpatient [21-22]
Inpatient ICD codes
Outpatient CPT
Other Pharmacy (PBM) HIV-related medications
3
Methodology : QALYs
HIV-Related Utility Scores [23] Clinical State Baseline A
0.90
B
0.90
C
0.75
D
0.56
Results : Descriptive Characteristics Characteristics
Texas Gender Race Mean Veterans N N Age Healthcare (%) (%) (SD) Region Male Female Black White Other Missing North, 48 648 38 112 162 37 375 Central, (10.2) (95.0) (5.0) (16.3) (23.6) (5.4) (54.7) South Treatment Round N
HAART Refractory AIDS
Treatment Round N
HAART Refractory AIDS
Results : Descriptive Adherence Markov MarkovState StateDiagram Diagram
Frequency
150
100
50
0 0.00
0.20 0.40 0.60 0.80 Adjusted Patient Overall Adherence Ratios
1.00
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Results : Annual Costs Overall HIV Medical Total
Clinical State A
Median Mean 95% Cl ($) Cost ($) Cost ($) 11,570 14,568 13,071 16,065
0
Max ($) 193,852
B
14,066
20,285
17,871
22,700
0
193,289
C
18,039
31,708
26,345
37,072
0
261,954
D
22,091
38,352
30,123
46,580
0
356,014
All
14,240
22,751
20,924
24,578
0
356,014HAART
Treatment Round N
Min
Refractory AIDS
Results : Clinical Annual Transition Probability-Adherent
From Clinical State
A
Annual Transition Probability To Clinical State B C D
DEAD
A
0.8571
0.1167
0.0004
0.0258
0.0000
B
0.3717
0.4521
0.1101
0.0556
0.0105
C
0.0001
0.4621
0.3122
0.1576
0.0680
D
0.1509
0.2550
Treatment0.1170 0.4080 Round N
HAART 0.0691 Refractory AIDS
Results : Clinical Annual Transition Probability-Non-Adherent Markov MarkovState StateDiagram Diagram From Clinical State
A
Annual Transition Probability To Clinical State B C D DEAD
A
0.8115
0.1478
0.0040
0.0238
0.0129
B
0.2049
0.5511
0.1838
0.0315
0.0287
C
0.0090
0.2460
0.4782
0.1976
0.0692
D
0.1192
0.1304
Treatment 0.3915
0.2011
HAART 0.1578 Refractory
Round N
AIDS
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Methodology : Modeling Assumptions
Six year ARV Treatment Duration Effect
Adjusted Clinical Efficacy of ARV using a RelativeRisk
Results : Markov Cohort 20-Year Simulations
Adherence Behavior Adherent Non-Adherent Adherent Non-Adherent
Total Costs ($)
Cost ($) Per QALY
QALYs
Six-Year Effect 228,984 10.65 209,766 8.77 Continuous Effect 227,329 10.87 211,709 9.08Treatment
QALY: Quality Adjusted Life Years
10,240 8,722 -
Round N
HAART Refractory AIDS
Results : Markov Cohort 5-Year Simulations
Cost ($) Per QALY Continuous Antiretroviral Treatment Duration Effect Adherent 75,362 3.82 Dominant Non-Adherent 75,941 3.66 Adherence Behavior
Total Costs ($)
QALYs
QALY: Quality Adjusted Life Years Treatment Round N
HAART Refractory AIDS
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Discussion Study design
Prospective naturalistic vs Expert Panel vs Literature
VS
Hybrid Retrospective, Modeling
Association between adherence and improved health outcomes Lifetime costs of adherent behavior > than non-adherent behavior Implications
Interventions to improve adherence
Limitations
Generalizability Adherence measures Sample size, power Extrapolation using short-term data Incomplete model
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References [10] Hogg R, Yip B, Chan K, O'Shaughnessy MV, Montaner JSG. Nonadherence to triple combination therapy is predictive of AIDS progression and death in HIV-positive men and women. 7th Conference on Retroviruses and Opportunistic Infections; 2000; San Francisco. [11] Wood E, Hogg RS, Yip B, Harrigan PR, O'Shaughnessy MV, Montaner JSG. Effect of medication adherence on survival of HIV-infected adults who start highly active antiretroviral therapy when the CD4 cell count is 200 to 350 cells/microliter. Annals of Internal Medicine 2003;139 (10):810-6. [12] Vincent LG. A study of adherence to HIV antiretroviral therapies and the economic impact in a managed care organization. Minnesota, 2003. [13] Sullivan SD, Kreling DH, Hazlet TK. Noncompliance with medication regimens and subsequent hospitalizations: a literature analysis and cost of hospitalization estimate. Journal of Research in Pharmaceutical Economics 1990;2(2):19-33. [14] Coambs RB, Jensen P, Her MH, Ferguson BS, JL J, W WJS, et al. Review on the scientific literature on the prevalence, consequences, and health costs of noncompliance and inappropriate use of prescription medication in Canada: Pharmaceutical Manufacturers Association of Canada, 1995:103-20. [15] Einarson TR. Drug-related hospital admissions. Annals of Pharmacotherapy 1993;27(7-8):83240. [16] Cleemput I, Kesteloot K, DeGeest S. A review of the literature on the economics of noncompliance. Room for methodological improvement. Health Policy. 2002;59(1):65-94. [17] Billups SJ, Malone DC, Carter BL. The relationship between drug therapy noncompliance and patient characteristics, health-related quality-of-life, and health care costs. Pharmacotherapy 2000;20(8):941-9.
References
[18] Becker R, Shakur U. The impact of drug compliance on the cost of treating HIV/AIDS in Africa. ISPOR Fourth European Conference; 2001 November 11-13; Cannes, France. [19] Munakata J, Benner JS, Becker SL, Dezil CM, Hazard EH, Tierce JC. Clinical and economic outcomes of non-adherence to antiretroviral therapy in patients with HIV. International Society For Pharmacoeconomics and Outcomes Research; 2004 May 2005; Washington DC. [20] Huang X. Modeling costs and opportunistic infections for Maryland Medicaid HIV/AIDS patients:Effects of patient non-adherence to antiretroviral drugs. University of Maryland, 2001. [21] Phibbs CS, Yu W, Barnett PG. HERC S outpatient average cost dataset for VA care: Fiscal Years 1999-2002: Health Economic Resource Center, 2003. [22] Wagner TH, Chen S, Yu W, Barnett PG. HERC's inpatient average cost datasets for VA Care Version 4: Fiscal Years 1998-2002: Health Economic Research Center, 2003. [23] Honiden S, Sundaram V, Nease RF, Holodniy M, Lazzeroni LC, Zolopa A, et al. The Effect of Diagnosis with HIV Infection on Health-Related Quality of Life. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2006;15(1):69-82.
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