Optimal Allocation of Societal HIV Prevention Resources to Reduce HIV Incidence in the United States.
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Where this comes from
- Record sourced from PubMed, PMID 33211582.
- Also identified by DOI 10.2105/AJPH.2020.305965 and PMC identifier 7750609.
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Abstract
<b>Objectives.</b> To optimize combined public and private spending on HIV prevention to achieve maximum reductions in incidence.<b>Methods.</b> We used a national HIV model to estimate new infections from 2018 to 2027 in the United States. We estimated current spending on HIV screening, interventions that move persons with diagnosed HIV along the HIV care continuum, pre-exposure prophylaxis, and syringe services programs. We compared the current funding allocation with 2 optimal scenarios: (1) a limited-reach scenario with expanded efforts to serve eligible persons and (2) an ideal, unlimited-reach scenario in which all eligible persons could be served.<b>Results.</b> A continuation of the current allocation projects 331 000 new HIV cases over the next 10 years. The limited-reach scenario reduces that number by 69%, and the unlimited reach scenario by 94%. The most efficient funding allocations resulted in prompt diagnosis and sustained viral suppression through improved screening of high-risk persons and treatment adherence support for those infected.<b>Conclusions.</b> Optimal allocations of public and private funds for HIV prevention can achieve substantial reductions in new infections. Achieving reductions of more than 90% under current funding will require that virtually all infected receive sustained treatment.
Medical subject headings
- Financial Management
- HIV Infections
- Health Care Rationing
- Models, Econometric