Anne M Neilan1, Richard Dunville2, M Cheryl Bañez Ocfemia3, Joshua A Salomon4, Jordan A Francke5, Alexander J B Bulteel5, Li Yan Wang2, Katherine K Hsu6, Elizabeth A DiNenno3, Rochelle P Walensky7, Robert A Parker8, Kenneth A Freedberg9, Andrea L Ciaranello10. 1. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: aneilan@partners.org. 2. Division of Adolescent and School Health, Centers for Disease Control and Prevention, Atlanta, Georgia. 3. Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia. 4. Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. 5. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts. 6. Department of Pediatrics, Boston Medical Center, Boston, Massachusetts; Division of STD Prevention & HIV/AIDS Surveillance, Massachusetts Department of Public Health, Boston, Massachusetts. 7. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts. 8. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts. 9. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. 10. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Abstract
PURPOSE: To assess the optimal age at which a one-time HIV screen should begin for adolescents and young adults (AYA) in the U.S. without identified HIV risk factors, incorporating clinical impact, costs, and cost-effectiveness. METHODS: We simulated HIV-uninfected 12-year-olds in the U.S. without identified risk factors who faced age-specific risks of HIV infection (.6-71.3/100,000PY). We modeled a one-time screen ($36) at age 15, 18, 21, 25, or 30, each in addition to current U.S. screening practices (30% screened by age 24). Outcomes included retention in care, virologic suppression, life expectancy, lifetime costs, and incremental cost-effectiveness ratios in $/year-of-life saved (YLS) from the health-care system perspective. In sensitivity analyses, we varied HIV incidence, screening and linkage rates, and costs. RESULTS: All one-time screens detected a small proportion of lifetime infections (.1%-10.3%). Compared with current U.S. screening practices, a screen at age 25 led to the most favorable care continuum outcomes at age 25: proportion diagnosed (77% vs. 51%), linked to care (71% vs. 51%), retained in care (68% vs. 44%), and virologically suppressed (49% vs. 32%). Compared with the next most effective screen, a screen at age 25 provided the greatest clinical benefit, and was cost-effective ($96,000/YLS) by U.S. standards (<$100,000/YLS). CONCLUSIONS: For U.S. AYA without identified risk factors, a one-time routine HIV screen at age 25, after the peak of incidence, would optimize clinical outcomes and be cost-effective compared with current U.S. screening practices. Focusing screening on AYA ages 18 or younger is a less efficient use of a one-time screen among AYA than screening at a later age.
PURPOSE: To assess the optimal age at which a one-time HIV screen should begin for adolescents and young adults (AYA) in the U.S. without identified HIV risk factors, incorporating clinical impact, costs, and cost-effectiveness. METHODS: We simulated HIV-uninfected 12-year-olds in the U.S. without identified risk factors who faced age-specific risks of HIV infection (.6-71.3/100,000PY). We modeled a one-time screen ($36) at age 15, 18, 21, 25, or 30, each in addition to current U.S. screening practices (30% screened by age 24). Outcomes included retention in care, virologic suppression, life expectancy, lifetime costs, and incremental cost-effectiveness ratios in $/year-of-life saved (YLS) from the health-care system perspective. In sensitivity analyses, we varied HIV incidence, screening and linkage rates, and costs. RESULTS: All one-time screens detected a small proportion of lifetime infections (.1%-10.3%). Compared with current U.S. screening practices, a screen at age 25 led to the most favorable care continuum outcomes at age 25: proportion diagnosed (77% vs. 51%), linked to care (71% vs. 51%), retained in care (68% vs. 44%), and virologically suppressed (49% vs. 32%). Compared with the next most effective screen, a screen at age 25 provided the greatest clinical benefit, and was cost-effective ($96,000/YLS) by U.S. standards (<$100,000/YLS). CONCLUSIONS: For U.S. AYA without identified risk factors, a one-time routine HIV screen at age 25, after the peak of incidence, would optimize clinical outcomes and be cost-effective compared with current U.S. screening practices. Focusing screening on AYA ages 18 or younger is a less efficient use of a one-time screen among AYA than screening at a later age.
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