Projecting the Clinical and Economic Impacts of Changes to HIV Care Among Adolescents and Young Adults in the United States: Lessons From the COVID-19 Pandemic

Author:

Brenner Isaac Ravi1,Simpson Kit N2,Flanagan Clare F1,Dark Tyra3,Dooley Mary2,Agwu Allison L4,Koay Wei Li Adeline56ORCID,Freedberg Kenneth A178910ORCID,Ciaranello Andrea L1789ORCID,Neilan Anne M17811ORCID

Affiliation:

1. Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital , Boston, Massachusetts , USA

2. Department of Healthcare Leadership and Management, Medical University of South Carolina , Charleston, South Carolina , USA

3. Department of Behavioral Sciences and Social Medicine, Center for Translational Behavioral Sciences, Florida State University College of Medicine , Tallahassee, Florida , USA

4. Division of Infectious Diseases, Departments of Pediatrics and Medicine, Johns Hopkins University School of Medicine , Baltimore, Maryland , USA

5. Division of Infectious Diseases, Children’s National Hospital , Washington, District of Columbia , USA

6. School of Medicine and Health Sciences, The George Washington University , Washington, District of Columbia , USA

7. Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital , Boston, Massachusetts , USA

8. Harvard Medical School , Boston, Massachusetts , USA

9. Harvard University Center for AIDS Research , Cambridge, Massachusetts , USA

10. Division of General Internal Medicine, Massachusetts General Hospital , Boston, Massachusetts , USA

11. Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital , Boston, Massachusetts , USA

Abstract

Abstract Background During the COVID-19 pandemic, many US youth with HIV (YHIV) used telehealth services; others experienced disruptions in clinic and antiretroviral therapy (ART) access. Methods Using the Cost-effectiveness of Preventing AIDS Complications (CEPAC)-Adolescent HIV microsimulation model, we evaluated 3 scenarios: 1) Clinic: in-person care; 2) Telehealth: virtual visits, without CD4 or viral load monitoring for 12 months, followed by return to usual care; and 3) Interruption: complete care interruption with no ART access or laboratory monitoring for 6 months (maximum clinic closure time), followed by return to usual care for 80%. We assigned higher 1-year retention (87% vs 80%) and lower cost/visit ($49 vs $56) for Telehealth vs Clinic. We modeled 2 YHIV cohorts with non-perinatal (YNPHIV) and perinatal (YPHIV) HIV, which differed by mean age (22 vs 16 years), sex at birth (85% vs 47% male), starting CD4 count (527/μL vs 635/μL), ART, mortality, and HIV-related costs. We projected life months (LMs) and costs/100 YHIV over 10 years. Results Over 10 years, LMs in Clinic and Telehealth would be similar (YNPHIV: 11 350 vs 11 360 LMs; YPHIV: 11 680 LMs for both strategies); costs would be $0.3M (YNPHIV) and $0.4M (YPHIV) more for Telehealth than Clinic. Interruption would be less effective (YNPHIV: 11 230 LMs; YPHIV: 11 620 LMs) and less costly (YNPHIV: $1.3M less; YPHIV: $0.2M less) than Clinic. Higher retention in Telehealth led to increased ART use and thus higher costs. Conclusions Telehealth could be as effective as in-person care for some YHIV, at slightly increased cost. Short interruptions to ART and laboratory monitoring may have negative long-term clinical implications.

Funder

Eunice Kennedy Shriver National Institute for Child Health and Human Development

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,General Medicine,Pediatrics, Perinatology and Child Health

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