Evidence map›Paper›PMID 27370169›Full record

ArticleJournal of the International AIDS Society2016

The 90 90 90 strategy to end the HIV Pandemic by 2030: Can the supply chain handle it?

David Jamieson, Scott E Kellerman

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Article in Journal of the International AIDS Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

David JamiesonPartnership for Supply Chain Management (PFSCM), Arlington, VA, USA; DJamieson@pfscm.org.
Scott E KellermanPartnership for Supply Chain Management (PFSCM), Arlington, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUNAIDS "90-90-90" strategy calls for 90% of HIV-infected individuals to be diagnosed by 2020, 90% of whom will be on anti-retroviral therapy (ART) and 90% of whom will achieve sustained virologic suppression. Reaching these targets by 2020 will reduce the HIV epidemic to a low-level endemic disease by 2030. However, moving the global response towards this universal test and treat model will pose huge challenges to public health systems in resource-limited settings, including global and local supply chain systems. These challenges are especially acute in Africa, which accounts for over 70% of the persons affected by HIV. DISCUSSION: From a supply chain perspective, each of the "90's" has possible complications and roadblocks towards realizing the promise envisioned by 90-90-90. For instance, ensuring that 90% of HIV-infected persons know their status will require a large increase in access to HIV tests compared with what is currently available. To ensure that there are enough anti-retrovirals available to treat the nearly 25 million people that will require them by 2020 represents a near doubling of the ARV supplied to treat the 13 million currently on treatment. Similarly, to monitor those on treatment means an unprecedented scale-up of viral load testing throughout Africa.

conclusionsLarger issues include whether the capacity exists at the local level to handle these commodities when they arrive in the most severely affected countries, including considerations of the human resources and costs needed to make this strategy effective. We believe that such "real world" analysis of proposed strategies and policies is essential to ensure their most effective implementation.

Indexed as

Health ResourcesAfricaHealth PlanningHIV InfectionsHumansPandemicsViral Load90-90-90commoditiesHIV/AIDSPEPFARsupply chain management

Identifiers

PMID27370169
PMCPMC4930545

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Registered trials

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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.