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.


Journal

Journal of the International AIDS Society
ISSN: 1758-2652
Titre abrégé: J Int AIDS Soc
Pays: Switzerland
ID NLM: 101478566

Informations de publication

Date de publication:
07 2019
Historique:
received: 16 11 2018
accepted: 22 05 2019
entrez: 10 7 2019
pubmed: 10 7 2019
medline: 28 4 2020
Statut: ppublish

Résumé

As 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. We 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). There 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. For 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.

Identifiants

pubmed: 31287620
doi: 10.1002/jia2.25325
pmc: PMC6615491
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e25325

Subventions

Organisme : FIC NIH HHS
ID : D43 TW009539
Pays : United States
Organisme : Medical Research Council
ID : MC_UU_12023/23
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : P30 AI027757
Pays : United States
Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Informations de copyright

© 2019 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

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Auteurs

Andrew N Phillips (AN)

Institute for Global Health, UCL, London, UK.

Valentina Cambiano (V)

Institute for Global Health, UCL, London, UK.

Fumiyo Nakagawa (F)

Institute for Global Health, UCL, London, UK.

Loveleen Bansi-Matharu (L)

Institute for Global Health, UCL, London, UK.

David Wilson (D)

Burnet Institute, Melbourne, Australia.

Ilesh Jani (I)

National Institute of Health, Maputo, Mozambique.

Tsitsi Apollo (T)

Ministry of Health, Zimbabwe, Harare, Zimbabwe.

Mark Sculpher (M)

Centre for Health Economics, University of York, York, UK.

Timothy Hallett (T)

Department of Infectious Disease Epidemiology, Imperial College London, London, UK.

Cliff Kerr (C)

Burnet Institute, Melbourne, Australia.
University of Sydney, Sydney, Australia.

Joep J van Oosterhout (JJ)

Dignitas International, Zomba, Malawi.
College of Medicine, Blantyre, Malawi.

Jeffrey W Eaton (JW)

Department of Infectious Disease Epidemiology, Imperial College London, London, UK.

Janne Estill (J)

Institute of Global Health, University of Geneva, Geneva, Switzerland.
Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland.

Brian Williams (B)

SACEMA, Stellenbosch University, Stellenbosch, South Africa.

Naoko Doi (N)

Clinton Health Access Initiative (CHAI), NY, USA.

Frances Cowan (F)

CeSHHAR, Harare, Zimbabwe.
Liverpool School of Tropical Medicine, Liverpool, UK.

Olivia Keiser (O)

Institute of Global Health, University of Geneva, Geneva, Switzerland.

Deborah Ford (D)

MRC Clinical Trials Unit at UCL, UCL, London, UK.

Ruanne Barnabas (R)

University of Washington, Seattle, WA, USA.

Helen Ayles (H)

ZAMBART, Lusaka, Zambia.

Gesine Meyer-Rath (G)

Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Department for Global Health, Boston University, Boston, MA, USA.

Lisa Nelson (L)

CDC Uganda, Kampala, Uganda.

Cheryl Johnson (C)

World Health Organisation, Geneva, Switzerland.

Rachel Baggaley (R)

World Health Organisation, Geneva, Switzerland.

Ade Fakoya (A)

The Global Fund, Geneva, Switzerland.

Andreas Jahn (A)

Ministry of Health, Lilongwe, Malawi.

Paul Revill (P)

Centre for Health Economics, University of York, York, UK.

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