Of the estimated 1 million Americans who are currently infected with HIV, as many as 300,000 remain unaware of their infection and without access to life-prolonging care that could prevent further transmission. In 2002 and 2005, we were awarded funding to develop a computer-based evaluation model of the detection, clinical management, and economics of HIV disease. Our findings have had a profound impact on HIV screening policy and guideline development in the United States.
Our aims for this competing continuation are: 1. To refine the simulation model to more accurately portray the detection and risk of HIV infection, the natural history of early HIV disease, and the impact of screening on secondary HIV transmission. 2. To conduct a series of policy evaluations on questions arising from the CDC's 2006 revised recommendations for expanded HIV screening. We will: """""""" evaluate the CDC's proposed algorithms for HIV detection and confirmation in the US; """""""" assess the cost-effectiveness of routine versus targeted strategies for HIV screening; """""""" estimate the survival costs of inadequate HIV detection, linkage, and retention in the US; """""""" forecast the budgetary impact of increased case identification and referral to care on the demand for publicly funded HIV services in the US (including Medicaid, the Ryan White CARE Act, and state AIDS Drug Assistance Programs). This proposal is motivated by several recent reports that identify inadequate HIV screening as a critical failing in the effort to contain the HIV epidemic in the US. This research plan will advance the state of the art in evidence-based, model-driven policy analysis. ?

Public Health Relevance

Of the estimated 1 million Americans who are currently infected with HIV, roughly 300,000 remain unaware of their infection and without access to life-prolonging care that could prevent further transmission. This project uses a mathematical simulation model to assemble and analyze the best available clinical and cost data, to inform current policy debates, and to promote an evidence-based approach to HIV counseling, testing, and referral in the United States. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
2R01MH065869-07A1
Application #
7619864
Study Section
Behavioral and Social Science Approaches to Preventing HIV/AIDS Study Section (BSPH)
Program Officer
Stirratt, Michael J
Project Start
2002-07-01
Project End
2011-08-31
Budget Start
2008-09-30
Budget End
2009-08-31
Support Year
7
Fiscal Year
2008
Total Cost
$808,180
Indirect Cost
Name
Yale University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
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Yazdanpanah, Yazdan; Perelman, Julian; DiLorenzo, Madeline A et al. (2013) Routine HIV screening in Portugal: clinical impact and cost-effectiveness. PLoS One 8:e84173
Schackman, Bruce R; Metsch, Lisa R; Colfax, Grant N et al. (2013) The cost-effectiveness of rapid HIV testing in substance abuse treatment: results of a randomized trial. Drug Alcohol Depend 128:90-7
Martin, Erika G; Meehan, Terence; Schackman, Bruce R (2013) AIDS Drug Assistance Programs: managers confront uncertainty and need to adapt as the Affordable Care Act kicks in. Health Aff (Millwood) 32:1063-71
Walensky, Rochelle P; Park, Ji-Eun; Wood, Robin et al. (2012) The cost-effectiveness of pre-exposure prophylaxis for HIV infection in South African women. Clin Infect Dis 54:1504-13
Paltiel, A David; Walensky, Rochelle P (2012) Home HIV testing: good news but not a game changer. Ann Intern Med 157:744-6
Martin, Erika G; Schackman, Bruce R (2012) What does U.S. health reform mean for HIV clinical care? J Acquir Immune Defic Syndr 60:72-6
Arbelaez, Christian; Wright, Elizabeth A; Losina, Elena et al. (2012) Emergency provider attitudes and barriers to universal HIV testing in the emergency department. J Emerg Med 42:7-14
April, Michael D; Chiosi, John J; Paltiel, A David et al. (2011) Projected survival gains from revising state laws requiring written opt-in consent for HIV testing. J Gen Intern Med 26:661-7
Reichmann, William M; Walensky, Rochelle P; Case, Amy et al. (2011) Estimation of the prevalence of undiagnosed and diagnosed HIV in an urban emergency department. PLoS One 6:e27701

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