Reaching for 90:90:90 in correctional facilities in South Africa and Zambia: Virtual cross-section of coverage of HIV testing and antiretroviral therapy during universal test and treat implementation

Author:

Hoffmann Christopher J12ORCID,Herce Michael E34,Chimoyi Lucy2,Smith Helene J3,Tlali Mpho5,Olivier Cobus J6,Topp Stephanie M78,Muyoyeta Monde3,Reid Stewart E39,Hausler Harry610,Charalambous Salome2,Fielding Katherine11

Affiliation:

1. Department of Medicine, Johns Hopkins University, Baltimore, MD, USA

2. The Aurum Institute, Johannesburg, South Africa

3. Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia

4. Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC, USA

5. School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa

6. TB HIV Care, Cape Town, South Africa

7. College of Public Health Medicine and Veterinary Sciences, James Cook University, Townsville, Australia.

8. Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia

9. Department of Medicine, Division of Infectious Diseases, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA

10. Department of Family Medicine, School of Medicine, University of Pretoria, Pretoria, South Africa

11. Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK

Abstract

Background People in correctional settings are a key population for HIV epidemic control. We sought to demonstrate scale-up of universal test and treat (UTT) in correctional facilities in South Africa and Zambia through a virtual cross-sectional analysis. Methods We used routine data on two dates: at the start of UTT implementation (time 1, T1) and one year later (time 2, T2). We obtained correctional facility census lists for the selected dates and matched HIV testing and treatment data to generate virtual cross-sections of HIV care continuum indicators. Results In the South African site, there were 4,193 and 3,868 people in the facility at times T1 and T2; 43% and 36% were matched with HIV testing or treatment data, respectively. At T1 and T2, respectively, 1803 (43%) and 1,386 (36%) had known HIV status, 804 (19%) and 845 (21%) were known to be living with HIV, and 60% and 56% of those with known HIV were receiving antiretroviral therapy (ART). In the Zambian site, there were 1,467 and 1,366 people in the facility at times T1 and T2; 58% and 92% were matched with HIV testing or treatment data, respectively. At T1 and T2, respectively, 857 (59%) and 1263 (92%) had known HIV status, 277 (19%) and 647 (47%) were known to be living with HIV, and 68% and 68% of those with known HIV were receiving ART. Conclusions: This virtual cross-sectional analysis identified gaps in HIV testing coverage and ART initiation not clearly demonstrated by prior cohort-based studies.

Funder

Mott MacDonald

Publisher

Ovid Technologies (Wolters Kluwer Health)

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