Evidence map›Paper›PMID 31287620›Full record

ArticleJournal of the International AIDS Society2019

Cost-per-diagnosis as a metric for monitoring cost-effectiveness of HIV testing programmes in low-income settings in southern Africa: health economic and modelling analysis.

Andrew N Phillips, Valentina Cambiano, Fumiyo Nakagawa, Loveleen Bansi-Matharu, David Wilson, Ilesh Jani, Tsitsi Apollo, Mark Sculpher, Timothy Hallett, Cliff Kerr and 18 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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

28 authors at 20 institutions in 10 countries.

Andrew N PhillipsInstitute for Global Health, UCL, London, UK.ORCID 0000-0003-2384-4807
Valentina CambianoInstitute for Global Health, UCL, London, UK.ORCID 0000-0003-0700-105X
Fumiyo NakagawaInstitute for Global Health, UCL, London, UK.
Loveleen Bansi-MatharuInstitute for Global Health, UCL, London, UK.ORCID 0000-0002-0233-7622
David WilsonBurnet Institute, Melbourne, Australia.ORCID 0000-0002-7829-3478
Ilesh JaniNational Institute of Health, Maputo, Mozambique.
Tsitsi ApolloMinistry of Health, Zimbabwe, Harare, Zimbabwe.
Mark SculpherCentre for Health Economics, University of York, York, UK.
Timothy HallettDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Cliff KerrBurnet Institute, Melbourne, Australia.
Joep J van OosterhoutDignitas International, Zomba, Malawi.
Jeffrey W EatonDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.ORCID 0000-0001-7728-728X
Janne EstillInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Brian WilliamsSACEMA, Stellenbosch University, Stellenbosch, South Africa.
Naoko DoiClinton Health Access Initiative (CHAI), NY, USA.
Frances CowanCeSHHAR, Harare, Zimbabwe.ORCID 0000-0003-3087-4422
Olivia KeiserInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Deborah FordMRC Clinical Trials Unit at UCL, UCL, London, UK.
Karin HatzoldPSI, Harare, Zimbabwe.ORCID 0000-0002-5117-3732
Ruanne BarnabasUniversity of Washington, Seattle, WA, USA.
Helen AylesZAMBART, Lusaka, Zambia.
Gesine Meyer-RathHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Lisa NelsonCDC Uganda, Kampala, Uganda.
Cheryl JohnsonWorld Health Organisation, Geneva, Switzerland.
Rachel BaggaleyWorld Health Organisation, Geneva, Switzerland.
Ade FakoyaThe Global Fund, Geneva, Switzerland.
Andreas JahnMinistry of Health, Lilongwe, Malawi.
Paul RevillCentre for Health Economics, University of York, York, UK.
University College London · GBImperial College London · GBUniversity of Geneva · CHUniversity of York · GBWorld Health Organization · CHBoston University · USBurnet Institute · AUClinton Health Access Initiative · USDignitas International · MWGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHHarare Institute of Technology · ZWLiverpool School of Tropical Medicine · GBMildmay Uganda · UGMinistry of Health · MWMinistry of Health and Child Welfare · ZWMRC Clinical Trials Unit at UCL · GBNational Directorate of Geology · MZStellenbosch University · ZAThe University of Sydney · AUUniversity of Washington · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Integrated PrEP and ART delivered in Ugandan public health clinics to improve HIV and ART outcomes for HIV serodiscordant couplesR01MH110296 · NIMH · UNIVERSITY OF WASHINGTON · PI HEFFRON, RENEE A. · 2017 to 2021
$3.2M
Training for Research Excellence and MeNtorship in Tuberculosis (TRENT)D43TW009539 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI METCALFE, JOHN ZAPATA · 2013 to 2022
$2.9M
Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
FIC NIH HHS D43 TW009539Medical Research Council MC_UU_12023/23Medical Research Council MR/R015600/1NIAID NIH HHS P30 AI027757World Health Organization 001
6 · The paper itself

Abstract

introductionAs prevalence of undiagnosed HIV declines, it is unclear whether testing programmes will be cost-effective. To guide their HIV testing programmes, countries require appropriate metrics that can be measured. The cost-per-diagnosis is potentially a useful metric.

methodsWe simulated a series of setting-scenarios for adult HIV epidemics and ART programmes typical of settings in southern Africa using an individual-based model and projected forward from 2018 under two policies: (i) a minimum package of "core" testing (i.e. testing in pregnant women, for diagnosis of symptoms, in sex workers, and in men coming forward for circumcision) is conducted, and (ii) core-testing as above plus additional testing beyond this ("additional-testing"), for which we specify different rates of testing and various degrees to which those with HIV are more likely to test than those without HIV. We also considered a plausible range of unit test costs. The aim was to assess the relationship between cost-per-diagnosis and the incremental cost-effectiveness ratio (ICER) of the additional-testing policy. The discount rate used in the base case was 3% per annum (costs in 2018 U.S. dollars).

resultsThere was a strong graded relationship between the cost-per-diagnosis and the ICER. Overall, the ICER was below $500 per-DALY-averted (the cost-effectiveness threshold used in primary analysis) so long as the cost-per-diagnosis was below $315. This threshold cost-per-diagnosis was similar according to epidemic and programmatic features including the prevalence of undiagnosed HIV, the HIV incidence and a measure of HIV programme quality (the proportion of HIV diagnosed people having a viral load <1000 copies/mL). However, restricting to women, additional-testing did not appear cost-effective even at a cost-per-diagnosis of below $50, while restricting to men additional-testing was cost-effective up to a cost-per-diagnosis of $585. The threshold cost per diagnosis for testing in men to be cost-effective fell to $256 when the cost-effectiveness threshold was $300 instead of $500, and to $81 when considering a discount rate of 10% per annum.

conclusionsFor testing programmes in low-income settings in southern African there is an extremely strong relationship between the cost-per-diagnosis and the cost-per-DALY averted, indicating that the cost-per-diagnosis can be used to monitor the cost-effectiveness of testing programmes.

Indexed as

Cost-Benefit AnalysisPovertyAdultAfrica, SouthernCircumcision, MaleFemaleHIV-1HIV InfectionsHumansMaleMass ScreeningPregnancyRisk FactorsSex WorkersViral Loadcost-effectivenesshealth systemsHIVmodellingtesting

Identifiers

PMID31287620
PMCPMC6615491
OpenAlexW2954464756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.