Evidence map›Paper›PMID 34866683›Full record

ArticleBulletin of the World Health Organization2021

Treatment-adjusted prevalence to assess HIV testing programmes.

Beth A Tippett Barr, David Lowrance, Cheryl Case Johnson, Rachel Clare Baggaley, John H Rogers, Shirish K Balachandra, Joseph Barker, Thokozani Kalua, Sudhir Bunga, Daniel Low-Beer and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 6 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

13 authors at 1 institution in 1 country.

Beth A Tippett BarrUS Centers for Disease Control and Prevention, Center for Global Health, PO Box 606, Village Market, 00621 Nairobi, Kenya.
David LowranceGlobal HIV, Hepatitis and STI programmes, World Health Organization, Geneva, Switzerland.
Cheryl Case JohnsonGlobal HIV, Hepatitis and STI programmes, World Health Organization, Geneva, Switzerland.
Rachel Clare BaggaleyGlobal HIV, Hepatitis and STI programmes, World Health Organization, Geneva, Switzerland.
John H RogersUS Centers for Disease Control and Prevention, Division of Global HIV & Tuberculosis, Zimbabwe.
Shirish K BalachandraUS Centers for Disease Control and Prevention, Division of Global HIV & Tuberculosis, Zimbabwe.
Joseph BarkerUS Centers for Disease Control and Prevention, Center for Global Health, PO Box 606, Village Market, 00621 Nairobi, Kenya.
Thokozani KaluaMinistry of Health, Department of HIV/AIDS, Lilongwe, Malawi.
Sudhir BungaUS Centers for Disease Control and Prevention, Division of Global HIV & Tuberculosis, Juba, South Sudan.
Daniel Low-BeerGlobal HIV, Hepatitis and STI programmes, World Health Organization, Geneva, Switzerland.
Danielle PayneUS Centers for Disease Control and Prevention, Division of Global HIV & Tuberculosis, Lilongwe, Malawi.
Marc G BulterysUS Centers for Disease Control and Prevention, Center for Global Health, PO Box 606, Village Market, 00621 Nairobi, Kenya.
Andreas JahnInternational Training and Education Center for Health (I-TECH), University of Washington, Seattle, United States of America.
Ministry of Health · MW

Funding

World Health Organization 001
6 · The paper itself

Abstract

Scale-up of human immunodeficiency virus (HIV) testing and antiretroviral therapy (ART) for people living with HIV has been increasing in sub-Saharan Africa. As a result, areas with high HIV prevalence are finding a declining proportion of people testing positive in their national testing programmes. In eastern and southern Africa, where there are settings with adult HIV prevalence of 12% and above, the positivity from national HIV testing services has dropped to below 5%. Identifying those in need of ART is therefore becoming more costly for national HIV programmes. Annual target-setting assumes that national testing positivity rates approximate that of population prevalence. This assumption has generated an increased focus on testing approaches which achieve higher rates of HIV positivity. This trend is a departure from the provider-initiated testing and counselling strategy used early in the global HIV response. We discuss a new indicator, treatment-adjusted prevalence, that countries can use as a practical benchmark for estimating the expected adult positivity in a testing programme when accounting for both national HIV prevalence and ART coverage. The indicator is calculated by removing those people receiving ART from the numerator and denominator of HIV prevalence. Treatment-adjusted prevalence can be readily estimated from existing programme data and population estimates, and in 2019, was added to the World Health Organization guidelines for HIV testing and strategic information. Using country examples from Kenya, Malawi, South Sudan and Zimbabwe we illustrate how to apply this indicator and we discuss the potential public health implications of its use from the national to facility level.

Indexed as

HIV InfectionsAdultDiagnostic Tests, RoutineHIV TestingHumansMalawiPrevalence

Identifiers

PMID34866683
PMCPMC8640683
OpenAlexW4200266871

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.