Evidence map›Paper›PMID 33347810›Full record

ArticleThe lancet. HIV2021

Cost-effectiveness of point-of-care testing with task-shifting for HIV care in South Africa: a modelling study.

Monisha Sharma, Edinah Mudimu, Kate Simeon, Anna Bershteyn, Jienchi Dorward, Lauren R Violette, Adam Akullian, Salim S Abdool Karim, Connie Celum, Nigel Garrett and 1 more

Open access · greenAbstract read
In one paragraph

Article in The lancet. HIV, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
0.4field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
  4. Trial
  5. Trial
  6. The Critical Importance of Clinical Use Case to Inform Point-of-Care Technology Development: A Case Study of HIV Nucleic Acid Assays in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. A Generalizable Decision-Making Framework for Selecting Onsite versus Send-out Clinical Laboratory Testing.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 3 countries.

Monisha SharmaDepartment of Global Health, University of Washington, Seattle, WA, USA. Electronic address: msharma1@uw.edu.
Edinah MudimuDepartment of Decision Sciences, University of South Africa, Pretoria, South Africa.
Kate SimeonDepartment of Medicine, University of Washington, Seattle, WA, USA; Department of Emergency Medicine, Denver Health, Denver, CO, USA.
Anna BershteynDepartment of Population Health, NYU School of Medicine, New York, NY, USA; Institute for Disease Modeling, Bellevue, WA, USA.
Jienchi DorwardNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; Centre for the AIDS Programme of Research in South Africa, Durban, South Africa.
Lauren R VioletteDepartment of Global Health, University of Washington, Seattle, WA, USA.
Adam AkullianDepartment of Global Health, University of Washington, Seattle, WA, USA; Institute for Disease Modeling, Bellevue, WA, USA.
Salim S Abdool KarimCentre for the AIDS Programme of Research in South Africa, Durban, South Africa; Department of Epidemiology, Columbia University, New York, NY, USA.
Connie CelumDepartment of Global Health, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA.
Nigel GarrettCentre for the AIDS Programme of Research in South Africa, Durban, South Africa.
Paul K DrainDepartment of Global Health, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA.
University of Washington · USCentre for the AIDS Programme of Research in South Africa · ZAColumbia University · USDenver Health Medical Center · USInstitute for Disease Modeling · USNew York University · USUniversity of Oxford · GBUniversity of South Africa · ZA

Funding

Simplifying HIV Treatment and Monitoring (STREAM2): Point-of-Care Urine Tenofovir Adherence and Viral Load Testing to Improve HIV Outcomes in South AfricaR01AI147752 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K, GARRETT, NIGEL JOEL · 2019 to 2024
$3.5M
Designing an Intervention to Increase Men's Linkage to Care and Prevention after HIV Self-Testing in UgandaK01MH115789 · NIMH · UNIVERSITY OF WASHINGTON · PI SHARMA, MONISHA · 2018 to 2022
$876k
Point-of-care viral load testing to enable task shifting for chronic HIV careR21AI124719 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K, GARRETT, NIGEL JOEL · 2016 to 2017
$336k
NIAID NIH HHS R01 AI147752NIAID NIH HHS R21 AI124719NIMH NIH HHS K01 MH115789
6 · The paper itself

Abstract

backgroundThe number of people on antiretroviral therapy (ART) requiring treatment monitoring in low-resource settings is rapidly increasing. Point-of-care (POC) testing for ART monitoring might alleviate burden on centralised laboratories and improve clinical outcomes, but its cost-effectiveness is unknown.

methodsWe used cost and effectiveness data from the STREAM trial in South Africa (February, 2017-October, 2018), which evaluated POC testing for viral load, CD4 count, and creatinine, with task shifting from professional to lower-cadre registered nurses compared with laboratory-based testing without task shifting (standard of care). We parameterised an agent-based network model, EMOD-HIV, to project the impact of implementing this intervention in South Africa over 20 years, simulating approximately 175 000 individuals per run. We assumed POC monitoring increased viral suppression by 9 percentage points, enrolment into community-based ART delivery by 25 percentage points, and switching to second-line ART by 1 percentage point compared with standard of care, as reported in the STREAM trial. We evaluated POC implementation in varying clinic sizes (10-50 patient initiating ART per month). We calculated incremental cost-effectiveness ratios (ICERs) and report the mean and 90% model variability of 250 runs, using a cost-effectiveness threshold of US$500 per disability-adjusted life-year (DALY) averted for our main analysis.

findingsPOC testing at 70% coverage of patients on ART was projected to reduce HIV infections by 4·5% (90% model variability 1·6 to 7·6) and HIV-related deaths by 3·9% (2·0 to 6·0). In clinics with 30 ART initiations per month, the intervention had an ICER of $197 (90% model variability -27 to 863) per DALY averted; results remained cost-effective when varying background viral suppression, ART dropout, intervention effectiveness, and reduction in HIV transmissibility. At higher clinic volumes (≥40 ART initiations per month), POC testing was cost-saving and at lower clinic volumes (20 ART initiations per month) the ICER was $734 (93 to 2569). A scenario that assumed POC testing did not increase enrolment into community ART delivery produced ICERs that exceeded the cost-effectiveness threshold for all clinic volumes.

interpretationPOC testing is a promising strategy to cost-effectively improve patient outcomes in moderately sized clinics in South Africa. Results are most sensitive to changes in intervention impact on enrolment into community-based ART delivery.

fundingNational Institutes of Health.

Indexed as

Anti-HIV AgentsCD4 Lymphocyte CountCost-Benefit AnalysisCreatinineDrug MonitoringHIV InfectionsHumansModels, TheoreticalPoint-of-Care TestingSouth AfricaSustained Virologic ResponseViral LoadAnti-HIV AgentsCreatinine

Identifiers

PMID33347810
PMCPMC8284441
OpenAlexW3108292186

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.