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Cost-Effectiveness of Point-of-Care Testing with Task-Shifting for HIV Care in South Africa: A Modelling Study

51 Pages Posted: 26 Jun 2020

See all articles by Monisha Sharma

Monisha Sharma

University of Washington, School of Public Health, Department of Global Health

Edinah Mudimu

University of South Africa (UNISA) - Department of Decision Science

Kate Simeon

Independent

Anna Bershteyn

New York University (NYU) - Grossman School of Medicine

Jienchi Dorward

University of Oxford - Nuffield Department of Primary Care Health Sciences; University of KwaZulu-Natal - Centre for the AIDS Programme of Research in South Africa (CAPRISA)

Lauren R Violette

Independent

Adam Akullian

Institute for Disease Modeling

Salim S Abdool Karim

Independent

Connie Celum

University of Washington - Department of Global Health

Nigel Garrett

Centre for the AIDS Programme of Research in Africa (CAPRISA), University of KwaZulu- Natal

Paul K. Drain

University of Washington - Department of Global Health; University of Washington - Department of Medicine; University of Washington - Department of Epidemiology

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Abstract

Background: The scale-up of “HIV test and treat” has rapidly increased the number of persons on antiretroviral therapy (ART) requiring treatment monitoring in low-resource settings. Decentralized point-of-care (POC) testing for ART monitoring may alleviate burden on centralized laboratories and improve clinical outcomes, but its cost-effectiveness is unknown.

Methods: We used primary cost and effectiveness data from the STREAM trial in South Africa, which assessed the impact of POC testing for viral load, CD4 count, and creatinine, with task-shifting from professional to lower-cadre registered nurses compared to laboratory-based testing without task-shifting. We parameterized an agent-based network model, EMOD-HIV, to project the impact of implementing this intervention in South Africa. We assumed POC monitoring increased viral suppression by 9%, enrollment into community-based ART delivery by 25%, and switching to second-line ART by 1%, as reported in STREAM. We evaluated POC scale-up in varying clinic sizes (10-50 patient initiating ART/month) over a 20-year time horizon. We used a cost-effectiveness threshold of $500 USD/disability adjusted life year (DALY) averted for our main analysis.

Results:   Implementing POC testing at 70% coverage of ART patients was projected to reduce HIV infections by 4.5% and HIV-related deaths by 3.9%. In clinics with 30 ART initiations/month, the intervention was associated with an incremental cost-effectiveness ratio (ICER) of $197/DALY averted; results remained cost-effective when varying background viral suppression, ART dropout, and intervention effectiveness within the 95% confidence bound of the trial results. Assuming POC testing did not increase enrollment into community ART delivery produced an ICER of $1,149, exceeding the cost-effectiveness threshold. At higher clinic volumes (≥40 ART initiations/month), POC testing was cost-saving compared to standard-of-care. At lower clinic volumes (20 patients initiated on ART/month) the ICER was $734/DALY averted.

Conclusions: POC testing for ART monitoring with task-shifting is projected to be cost-effective in moderately-sized clinics in South Africa.

Funding Statement: This study was funded by the U.S. National Institute of Allergy and Infectious Diseases (R21AI124719 and R01AI147752). MS received support from NIMH K01MH115789

Declaration of Interests: Dr. Paul Drain reports receiving consulting or speaking fees from Gilead Science and Cepheid, and research support from the NIH, CDC, Gilead Sciences, and the Bill and Melinda Gates Foundation, during the conduct of the study. Dr. Abdool Karim reports grants from the NIH during the conduct of the study. All authors declare that they have no competing interests.

Ethics Approval Statement: Missing.

Keywords: Point-of-care testing, viral load testing, ART monitoring, sub-Saharan Africa, South Africa, cost-effectiveness, modeling

Suggested Citation

Sharma, Monisha and Mudimu, Edinah and Simeon, Kate and Bershteyn, Anna and Dorward, Jienchi and Violette, Lauren R and Akullian, Adam and Abdool Karim, Salim S and Celum, Connie and Garrett, Nigel and Drain, Paul K., Cost-Effectiveness of Point-of-Care Testing with Task-Shifting for HIV Care in South Africa: A Modelling Study (4/5/2020). Available at SSRN: https://ssrn.com/abstract=3571531 or http://dx.doi.org/10.2139/ssrn.3571531

Monisha Sharma (Contact Author)

University of Washington, School of Public Health, Department of Global Health ( email )

WA
United States

Edinah Mudimu

University of South Africa (UNISA) - Department of Decision Science

South Africa

Kate Simeon

Independent

United States

Anna Bershteyn

New York University (NYU) - Grossman School of Medicine

550 First Ave.
VZ30, Office 626
New York, NY 10016
United States

Jienchi Dorward

University of Oxford - Nuffield Department of Primary Care Health Sciences ( email )

Oxford
United Kingdom

University of KwaZulu-Natal - Centre for the AIDS Programme of Research in South Africa (CAPRISA) ( email )

2nd Floor, Doris Duke Medical Research Institute
719 Umbilo Road
Durban, 4041
South Africa

Lauren R Violette

Independent

United States

Adam Akullian

Institute for Disease Modeling ( email )

Institute for Disease Modeling 1555 132nd AVE NE
Bellevue, WA 98005
United States

Salim S Abdool Karim

Independent

United States

Connie Celum

University of Washington - Department of Global Health

Seattle, WA 98195
United States

Nigel Garrett

Centre for the AIDS Programme of Research in Africa (CAPRISA), University of KwaZulu- Natal ( email )

United States

Paul K. Drain

University of Washington - Department of Global Health ( email )

Seattle, WA 98195
United States

University of Washington - Department of Medicine ( email )

Box 356340
1925 N.E. Pacific Street
Seattle, WA 98195-6340
United States

University of Washington - Department of Epidemiology ( email )

Seattle, WA
United States

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