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RESEARCH |
At the time of the study Bruce R. Schackman was, and Sue J. Goldie, Milton C. Weinstein, and Kenneth A. Freedberg are now, with the Center for Risk Analysis, Department of Health Policy and Management, Harvard School of Public Health, Boston, Mass. Elena Losina and Dr. Freedberg are with the Department of Epidemiology and Biostatistics, Boston University School of Public Health, Boston. Dr. Losina, Hong Zhang, and Dr. Freedberg are with the Division of General Medicine and Partners AIDS Research Center, Massachusetts General Hospital and Harvard Medical School, Boston.
Correspondence: Requests for reprints should be sent to Bruce R. Schackman, PhD, Department of Public Health, Weill Medical College of Cornell University, 411 East 69th St, New York, NY 10021 (e-mail: brs2006{at}med.cornell.edu).
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ABSTRACT |
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 TOP ABSTRACT INTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Objectives. This study was designed to examine the societal cost-effectiveness and the impact on government payers of earlier initiation of antiretroviral therapy for uninsured HIV-infected adults.
Methods. A state-transition simulation model of HIV disease was used. Data were derived from the Multicenter AIDS Cohort Study, published randomized trials, and medical care cost estimates for all government payers and for Massachusetts, New York, and Florida.
Results. Quality-adjusted life expectancy increased from 7.64 years with therapy initiated at 200 CD4 cells/µL to 8.21 years with therapy initiated at 500 CD4 cells/µL. Initiating therapy at 500 CD4/µL was a more efficient use of resources than initiating therapy at 200 CD4/µL and had an incremental cost-effectiveness ratio of $17 300 per quality-adjusted life-year gained, compared with no therapy. Costs to state payers in the first 5 years ranged from $5500 to $24 900 because of differences among the states in the availability of federal funds for AIDS drug assistance programs.
Conclusions. Antiretroviral therapy initiated at 500 CD4 cells/µL is cost-effective from a societal perspective compared with therapy initiated later. States should consider Medicaid waivers to expand access to early therapy.
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INTRODUCTION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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For uninsured, asymptomatic HIV-infected individuals in the United States, the primary sources of payment for antiretroviral therapy have been state-level AIDS Drug Assistance Programs (ADAPs) funded by the federal Ryan White Comprehensive AIDS Resources Emergency (CARE) Act. ADAPs usually do not cover nondrug services such as HIV RNA (viral load) testing and physician office visits. Moreover, because ADAPs rely on annual appropriations from Congress and state legislatures, coverage varies substantially over time and from state to state. In fiscal year 1998, roughly half of all ADAPs reported budget shortages or program limitations, and approximately 2500 eligible individuals were on waiting lists to enter ADAPs.7
In 1997 a proposal to revise federal Medicaid eligibility rules to include asymptomatic HIV-infected individuals was rejected because it was not budget neutral (i.e., it was projected to increase costs to the federal Medicaid budget over 5 years).8,9 Individual states can still apply to expand Medicaid coverage under a Section 1115 waiver, which requires federal Medicaid budget neutrality, or as a demonstration project under the Ticket to Work and Work Incentives Improvement Act of 1999.5,10,11
We used a computer-based simulation model of HIV disease to estimate the costeffectiveness from a societal perspective and the financial impact on government payers of providing early versus deferred antiretroviral therapy to uninsured HIV-infected individuals who present for medical care with 500 CD4 cells/µL. We also used this model to determine the budgetary implications of these treatment strategies for 3 US states with different levels of federal support for ADAPs.
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METHODS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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We also evaluated the financial costs of the 3 treatment strategies from the perspective of all government payers, including federal, state, and county governments. We adjusted medication costs to reflect discounts provided by pharmaceutical manufacturers to Medicaid and ADAPs, and we adjusted patient care costs to reflect estimated national average payments by Medicaid and other government payers. We then compared the financial costs of the 3 treatment strategies for state and county government payers in 3 US states with different levels of federal ADAP support: Massachusetts, New York, and Florida. To determine the impact on the state and county payers'; budgets, we used state-specific estimated Medicaid payments and excluded federal contributions to Medicaid and ADAPs. We did not discount future costs in these analyses.
The Model
We used a computer-based state-transition simulation model of the progression of HIV disease.13 The model is programmed in C and compiled in C++ (Microsoft, Seattle, Wash). A hypothetical cohort of 1 million HIV-infected individuals with CD4 cell counts of 500/µL enters the model a person at a time, and each person is followed until death. Live health states are categorized as chronic or acute and are stratified by CD4 cell count and HIV RNA. Patients move from chronic to acute health states when they develop opportunistic infections. Deaths can occur from opportunistic infections, be HIV-related in the chronic health state, or be non–HIV-related.14
The efficacy of an antiretroviral regimen is represented by HIV RNA suppression, which results in an increased CD4 cell count.15 Antiretroviral treatment is considered to have failed when a 0.5 log increase in HIV RNA is observed for 2 consecutive months while the patient is on antiretroviral therapy. Once failure occurs, and after a 6-month delay, patients'; CD4 cell counts begin to decline at a rate based on their original HIV RNA setpoint. The cost and QALY impact of drugspecific toxicities observed in published clinical trials are incorporated into the model.
We assumed that patients were aware of their HIV infection, had never received antiretroviral treatment, lacked private insurance, met financial eligibility requirements for ADAPs and Medicaid, and would remain enrolled in all government programs when they became eligible. Except in the case of a Medicaid waiver, we assumed that all patients initially were enrolled in an ADAP and became eligible for Medicaid on the basis of disability when their CD4 cell count fell below 200/µL (although in fact the determination of eligibility in most states is based on the presence of clinical symptoms).5 We did not take Medicare enrollment into account, because the analysis of the impact on state and county budgets was limited to the first 5 years in a population with early-stage HIV disease.
We evaluated a hypothetical cohort with a mean age of 36 years, based on the age distribution of uninsured patients in the HIV Cost and Services Utilization Study.16 We assumed that the cohort was 80% male, based on the sex distribution of ADAP participants nationally.7
Data
Clinical data.
We derived the HIV RNA setpoint distribution, the average monthly rate of CD4 decline without antiretroviral therapy, and the monthly risks of (1) opportunistic infections, (2) acute mortality, and (3) chronic AIDS mortality from the Multicenter AIDS Cohort Study data set.17–20 Although the Multicenter AIDS Cohort Study included mainly White homosexual men, the natural history of HIV infection predicted by the model was consistent with observations among women, nonwhites, and injection drug users.21 Patients received standard opportunistic infection prophylaxis, and their HIV RNA and CD4 cell counts were measured every 3 months.1,22
For the efficacy of initial antiretroviral therapy, we used data from the 3-drug therapy arm of the AIDS Clinical Trials Group Protocol 320, which included indinavir, zidovudine, and lamivudine.23 We modeled efficacy by calibrating monthly HIV RNA levels transition probabilities to the trial';s efficacy results (60% of patients in the 3-drug arm with no detectable HIV RNA below 500 copies/mL at 24 weeks). The efficacy of subsequent 3-drug antiretroviral therapy in patients who experienced treatment failure in their initial regimen was based on data from the Community Programs for Clinical Research on AIDS Protocol 046.24 We used the same modeling approach with efficacy data from the control arm of this study, which included no resistance testing and a variety of second-line regimens selected by treating physicians (22% of patients with no detectable HIV RNA below 500 copies/mL at 12 weeks).24 We assumed that the first- and second-line regimens were each efficacious for 2 years for patients who had not experienced treatment failure in the interim.25 We assumed that all antiretroviral therapy was discontinued at the time of second-line treatment failure. We considered alternative efficacy assumptions, including first-line regimens with better efficacy and additional salvage therapies, in sensitivity analyses.
Costs and quality of life.
Cost input data are summarized in Table 1
. Patient care costs were derived from the AIDS Costs and Services Utilization Survey and were adjusted to include HIV RNA monitoring every 3 months.1,26 For analyses conducted from the societal perspective, we converted charges to estimates of cost by using a national cost-to-charge ratio.13 For analyses conducted from the all-government payer perspective and the state and county budget perspective, we assumed that charges reported in the AIDS Costs and Services Utilization Survey were representative of charges to private payers. We reduced these charges on the basis of published comparisons between physician fee levels or hospital payments by state Medicaid programs and payments by Medicare and by private payers, except in New York (where we used an HIV-specific Medicaid fee schedule for physician services).27–29 We converted all patient care costs to 1998 dollars by using the medical care component of the Consumer Price Index.14
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RESULTS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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). The mean time on antiretroviral therapy was 2.94 years for patients who receive early therapy and 2.20 years for patients who receive deferred therapy. The undiscounted cost of treatment in the first 5 years was $48 300 with early antiretroviral therapy and $34 300 with deferred antiretroviral therapy.
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). The discounted projected perperson lifetime costs of treatment were $69 900 without antiretroviral therapy, $98 000 with deferred antiretroviral therapy, and $104 100 with early antiretroviral therapy. Deferred antiretroviral therapy was less effective because it resulted in more early deaths and more opportunistic infections (which put patients at a higher risk for subsequent HIV-related deaths). The incremental cost-effectiveness ratio for deferred therapy vs no therapy was $20 000 per QALY; the incremental cost-effectiveness ratio for early therapy vs deferred therapy was $10 800 per QALY. Deferred therapy had a higher (i.e., less attractive) incremental cost-effectiveness ratio than early therapy; thus, deferred therapy was weakly dominated by early therapy and represents an inefficient use of resources.32 The incremental cost-effectiveness ratio for early therapy vs no therapy was $17 300 per QALY (Table 2).
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All-Government Payer Perspective
We also explored the financial costs paid by federal, state, and county payers in an analysis from the all-government payer perspective. Over the first 5 years, the undiscounted total direct medical costs per patient to these payers were $29 100 for deferred therapy and $40 600 for early therapy. The undiscounted antiretroviral and prophylaxis medication costs for the first 5 years were $3300 for deferred therapy and $21 500 for early therapy. Thus, in the first 5 years, although drug costs were $18 200 higher for early therapy vs deferred therapy, total costs were only $11 500 higher because of savings from averted HIV-related morbidity (Figure 2).
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State and County Payer Budget Impact
We estimated the impact on state and county budgets per enrollee over 5 years for each of the 3 treatment strategies in 3 different states: Massachusetts, New York, and Florida. For each of these states we projected the budget impact under 2 scenarios: (1) all patients were enrolled in a state ADAP program and then were transferred to Medicaid when their CD4 cell counts reached 200/µL (No Medicaid Waiver scenario), and (2) all patients in the cohort were enrolled in Medicaid with CD4 cell counts of 500/µL (Medicaid Waiver scenario).
Table 3 describes the state or county share of government costs incurred under the No Medicaid Waiver and Medicaid Waiver scenarios in each of the 3 states. The No Medicaid Waiver scenario reflects the fact that 2 of the states have established programs that cover nondrug direct medical costs for uninsured HIV-infected individuals. State officials reported to us that ACT NOW in Massachusetts was 100% supported with state funds, and ADAP Plus in New York was 100% supported with federal Ryan White CARE Act funds. In Florida, nondrug expenses for uninsured HIV-infected patients were assumed to be paid for as indigent care at the county level.36 In 1998 the state share of ADAP drug costs was 41% for Massachusetts, 13% for New York, and 8% for Florida.7 For patients enrolled in Medicaid in either scenario, the state share of all costs in 1998 was 50% in Massachusetts and New York and 44% in Florida.37
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summarizes the budget impact of early vs deferred antiretroviral therapy for each of the 3 states. In the No Medicaid Waiver scenario in Massachusetts, the 5-year state budgetary cost per enrollee was $22 100 for deferred antiretroviral therapy and $24 700 for early antiretroviral therapy. In the presence of a Medicaid waiver, the 5-year state budgetary cost for early antiretroviral therapy would have been $19 800 per enrollee—$4900 lower than without a waiver—because of additional federal Medicaid funding that would have become available for nondrug direct medical costs. Presumably, Massachusetts would be required to identify other potential savings to the federal Medicaid budget to show budget neutrality.
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In the No Medicaid Waiver scenario in Florida, the 5-year state and county budgetary cost per patient was $20 900 for deferred antiretroviral therapy and $17 400 for early antiretroviral therapy. Early antiretroviral therapy resulted in lower costs per enrollee than deferred therapy because Florida receives a high proportion of drug costs from federal ADAP funds but lacks a specific program to pay for nondrug direct medical costs for ADAP enrollees. In the presence of a Medicaid waiver, the 5-year state and county budgetary cost of early antiretroviral therapy is projected to have been $17 500 per enrollee—$100 higher than without a Medicaid waiver—because Florida pays for a higher proportion of drug costs under Medicaid than it does under ADAP.
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DISCUSSION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Differences in federal–state cost-sharing formulas led to substantially different impacts of early and deferred therapy on state and county budgets in the absence of a Medicaid waiver. The cost-sharing formulas also resulted in different impacts of a Medicaid waiver on each state';s budget. In Massachusetts, enrollment of early-stage HIV patients in Medicaid under a waiver would have reduced costs to the state budget and increased costs to the federal Medicaid budget. To achieve federal Medicaid budget neutrality, the state would have to provide additional budget allocations, identify other Medicaid savings, or reduce costs through patient premiums, copayments, or deductibles.
There are several limitations to this analysis. Our assumptions about the efficacy of initial 3-drug combination antiretroviral therapy were based on a clinical trial conducted among patients who had been treated previously with less-effective antiretroviral therapy, which may have resulted in an underestimate of efficacy in a treatment-naive population. On the other hand, the efficacy of antiretroviral therapy reported for a Maryland population with a high proportion of Medicaid participants was substantially lower than that reported in the clinical trial.38 We also assumed that the efficacy of each antiretroviral regimen in achieving viral suppression would not extend beyond 2 years and would not differ between those starting at 500 CD4/µL and those starting at 200 CD4 cells/µL.
The analysis was limited to patients who were financially eligible for both ADAPs and Medicaid, although income eligibility varies by state, and some states (including Florida) periodically have limited access to ADAPs for eligible new enrollees because of budgetary constraints.7 We assumed that all patients became eligible for Medicaid as soon as they had an observed CD4 cell count below 200/µL, although actual eligibility for Medicaid depends on clinical symptoms. This assumption may have led to projections of average Medicaid enrollment at an earlier stage of disease than actually occurs. We also assumed that patients remained in the ADAPs and Medicaid. Even though disenrollment does occur, few HIV-infected patients regain private insurance once they have begun receiving benefits from government programs.39
We assumed that Medicaid cost-to-charge ratios and state–federal cost-sharing ratios for ADAPs would remain consistent over 5 years in the state and county budgetary analysis. From 1997 to 1998, however, the state share of the ADAP budget fell 19% in Massachusetts, fell less than 1% in New York, and increased 3% in Florida.7 Future ADAP budget increases may be allocated in ways that significantly alter these ratios. We assumed that nondrug costs for ADAP enrollees were covered only by supplementary ADAPs or indigent care, although some of these services also are provided by other programs supported by Ryan White Act Title I and non-ADAP Title II federal funds.
The analysis was restricted to a cohort of patients at the same early stage of disease. We did not simulate a population of patients with a distribution of CD4 values that would match patients who currently are eligible for state assistance or those who are newly diagnosed. We also did not estimate the impact on state budgets of expanding coverage to a population of patients who are not currently in treatment. Any expansion of services to early-stage HIV-infected individuals who are not currently in treatment will result in added expenses for state budgets in the short term. Because the focus of this analysis was on financial cost per patient, the analysis also did not take into account the greater potential financial security to beneficiaries of transferring their insurance coverage to an entitlement program, nor did it capture potential savings deriving from the possibility that patients receiving antiretroviral therapy would be less likely to infect others.
Using the cost-effectiveness framework, we found that early antiretroviral therapy for uninsured HIV-infected adults with CD4 cell counts of 500/µL had a cost-effectiveness ratio that was between those reported for Pneumocystis carinii pneumonia prophylaxis ($2500 per QALY in 1998 US dollars) and Mycobacterium avium complex prophylaxis ($38 400 per QALY in 1998 US dollars), both of which are considered "standard of care" in HIV treatment.13 The cost-effectiveness ratio also was below the median published cost-effectiveness ratio for all medical interventions ($22 800 in 1998 US dollars).40 Thus, early antiretroviral therapy appears to offer good value for resources spent. Some states should consider programs to expand access to early antiretroviral therapy in accordance with current treatment guidelines through Medicaid waivers or other Medicaid demonstration projects. The budgetary impact of these programs will vary substantially by state, however, and states will need to carefully assess their attractiveness in the context of future state–federal cost-sharing plans.
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Acknowledgments |
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Footnotes |
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Accepted for publication October 6, 2000.
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References |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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2. Carpenter CC, Cooper DA, Fischl MA, et al. Antiretroviral therapy in adults: updated recommendations of the International AIDS Society–USA Panel. JAMA. 2000;283:381–390.
3. Shapiro MF, Morton SC, McCaffrey DF, et al. Variations in the care of HIV-infected adults in the United States: results from the HIV Cost and Services Utilization Study. JAMA. 1999;281:2305–2315.
4. Andersen R, Bozzette S, Shapiro M, et al. Access of vulnerable groups to antiretroviral therapy among persons in care for HIV disease in the United States. HIV Cost and Services Utilization Study Consortium. Health Serv Res. 2000;35:389–416.[Medline]
5. Westmoreland T. Medicaid & HIV/AIDS Policy: A Basic Primer. Washington, DC: Henry J. Kaiser Family Foundation; 1999.
6. Buchanan RJ. Medicaid eligibility policies for people with AIDS. Soc Work Health Care. 1996;23:15–41.[Medline]
7. Doyle A, Jeffreys R, Kelly J, Schamber S. National ADAP Monitoring Project: Annual Report. Washington, DC, and New York, NY: National Alliance of State and Territorial AIDS Directors and AIDS Treatment Data Network; 1999.
8. Lubinski C, Greenwald R. Expanding Eligibility for Medicaid to Persons With HIV Disease. Washington, DC, and Boston, MA: AIDS Action Council of Washington DC and AIDS Action Committee of Massachusetts; 1997.
9. Stolberg SG. White House drops plan for Medicaid to cover cost of AIDS drugs. New York Times. December 6, 1997:A14.
10. Holahan J, Coughlin T, Ku L, Lipson DJ, Rajan S. Insuring the poor through Section 1115 Medicaid waivers. Health Aff (Millwood). 1995;14:199–216.[Abstract]
11. Project Inform. Work Incentives Improvement Act. PI Perspect. 1999;28:22–23.
12. Gold MR, Siegel JE, Russell LB, Weinstein MC. Cost Effectiveness in Health and Medicine. New York, NY: Oxford University Press; 1996.
13. Freedberg KA, Scharfstein JA, Seage GR III, et al. The cost-effectiveness of preventing AIDS-related opportunistic infections. JAMA. 1998;279:130–136.
14. Statistical Abstract of the United States: 1999. 119th ed. Washington, DC: US Bureau of the Census; 1999.
15. Freedberg KA, Goldie SJ, Losina E, et al. Simulation modeling of HIV disease: impact of virologic outcomes on clinical and cost effectiveness [abstract]. Taken from: Med Decis Making. 1999;19:522.
16. Bozzette SA, Berry SH, Duan N, et al. The care of HIV-infected adults in the United States. HIV Cost and Services Utilization Study Consortium. N Engl J Med. 1998;339:1897–1904.
17. Kaslow RA, Ostrow DG, Detels R, Phair JP, Polk BF, Rinaldo CR Jr. The Multicenter AIDS Cohort Study: rationale, organization, and selected characteristics of the participants. Am J Epidemiol. 1987;126:310–318.[Medline]
18. Multicenter AIDS Cohort Study. Public Use Dataset: Release PO4. Springfield, VA: National Technical Information Service; 1995.
19. Mellors JW, Rinaldo CR Jr, Gupta P, White RM, Todd JA, Kingsley LA. Prognosis in HIV-1 infection predicted by the quantity of virus in plasma. Science. 1996;272:1167–1170.[Abstract]
20. Mellors JW, Munoz A, Giorgi JV, et al. Plasma viral load and CD4+ lymphocytes as prognostic markers of HIV-1 infection. Ann Intern Med. 1997;126:946–954.
21. Chaisson RE, Keruly JC, Moore RD. Race, sex, drug use, and progression of human immunodeficiency virus disease. N Engl J Med. 1995;333:751–756.
22. 1999 USPHS/IDSA guidelines for the prevention of opportunistic infections in persons infected with human immunodeficiency virus: US Public Health Service (USPHS) and Infectious Disease Society of America (IDSA). MMWR Morb Mortal Wkly Rep. 1999;48 (RR-10):1–59, 61–66.[Medline]
23. Hammer SM, Squires KE, Hughes MD, et al. A controlled trial of two nucleoside analogues plus indinavir in persons with human immunodeficiency virus infection and CD4 cell counts of 200 per cubic millimeter or less. AIDS Clinical Trials Group 320 Study Team. N Engl J Med. 1997;337:725–733.
24. Baxter JD, Mayers DL, Wentworth DN, et al. A randomized study of antiretroviral management based on plasma genotypic antiretroviral resistance testing in patients failing therapy. CPCRA 046 Study Team for the Terry Beirn Community Programs for Clinical Research on AIDS. AIDS. 2000;14:F83–F93.[Medline]
25. Gulick RM, Mellors JW, Havlir D, et al. Simultaneous vs sequential initiation of therapy with indinavir, zidovudine, and lamivudine for HIV-1 infection: 100-week follow-up. JAMA. 1998;280:35–41.
26. Hellinger FJ. The lifetime cost of treating a person with HIV. JAMA. 1993;270:474–478.
27. Annual Report to Congress. Washington, DC: Physician Payment Review Commission; 1994.
28. Health Care Spending and the Medicare Program. Washington, DC: Medicare Payment Advisory Commission; 1998.
29. ADAP Plus Physician';s Manual. Albany: New York State Department of Health AIDS Institute; 1998.
30. Drug Topics. Red Book. Montvale, NJ: Medical Economics; 1998.
31. Gluck M. Medicare Prescription Drug Benefit. Washington, DC: National Academy of Social Insurance; 1999.
32. Cantor SB. Cost-effectiveness analysis, extended dominance, and ethics: a quantitative assessment. Med Decis Making. 1994;14:259–265.
33. Staszewski S, Morales-Ramirez J, Tashima KT, et al. Efavirenz plus zidovudine and lamivudine, efavirenz plus indinavir, and indinavir plus zidovudine and lamivudine in the treatment of HIV-1 infection in adults. N Engl J Med. 1999;341:1865–1873.
34. Moore RD, Chaisson RE. Costs to Medicaid of advancing immunosuppression in an urban HIV-infected patient population in Maryland. J Acquir Immune Defic Syndr Hum Retrovirol. 1997;14:223–231.[Medline]
35. Gebo KA, Chaisson RE, Folkemer JG, Bartlett JG, Moore RD. Costs of HIV medical care in the era of highly active antiretroviral therapy. AIDS. 1999;13:963–969.[Medline]
36. Lipson DJ, Norton S, Dubay L. Health Policy for Low-Income People in Florida. Washington, DC: Urban Institute; 1997.
37. Federal percentages and Federal medical assistance percentages, effective October 1, 1997–September 30, 1998 (fiscal year 1998). Federal Register. Available at: http://aspe.hhs.gov/health/fmap98.htm. Accessed August 18, 1999.
38. Lucas GM, Chaisson RE, Moore RD. Highly active antiretroviral therapy in a large urban clinic: risk factors for virologic failure and adverse drug reactions. Ann Intern Med. 1999;131:81–87.
39. Fleishman JA. Transitions in insurance and employment among people with HIV infection. Inquiry. 1998;35:36–48.[Medline]
40. Tengs TO, Adams ME, Pliskin JS, et al. Five-hundred life-saving interventions and their costeffectiveness. Risk Anal.1995;15:369–390.[Medline]
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| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
