Evidence map›Paper›PMID 30515997›Full record

ArticleJournal of the International AIDS Society2018

Impact of a borderless sample transport network for scaling up viral load monitoring: results of a geospatial optimization model for Zambia.

Brooke E Nichols, Sarah J Girdwood, Thomas Crompton, Lynsey Stewart-Isherwood, Leigh Berrie, Dorman Chimhamhiwa, Crispin Moyo, John Kuehnle, Wendy Stevens, Sydney Rosen and 1 more

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

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  14. Cost and Impact of Dried Blood Spot Versus Plasma Separation Card for Scale-up of Viral Load Testing in Resource-limited Settings.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  15. Article
  16. Article
  17. Monitoring viral load for the last mile: what will it cost?Journal of the International AIDS Society · 2019
    Article
  18. Article
  19. 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.

Brooke E NicholsDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0003-4682-4999
Sarah J GirdwoodHealth Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Thomas CromptonGIS Mapping Department, Right to Care, Centurion, South Africa.
Lynsey Stewart-IsherwoodNational Health Laboratory Service, Wits Medical School, Johannesburg, South Africa.
Leigh BerrieNational Health Laboratory Service, Wits Medical School, Johannesburg, South Africa.
Dorman ChimhamhiwaGIS Mapping Department, Right to Care, Centurion, South Africa.
Crispin MoyoEQUIP Zambia, Lusaka, Zambia.
John KuehnleUnited States Agency for International Development, Lusaka, Zambia.
Wendy StevensNational Health Laboratory Service, Wits Medical School, Johannesburg, South Africa.
Sydney RosenDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.
EQUIP Health

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
NIAID NIH HHS P30 AI042853
6 · The paper itself

Abstract

introductionThe World Health Organization recommends viral load (VL) monitoring at six and twelve months and then annually after initiating antiretroviral treatment for HIV. In many African countries, expansion of VL testing has been slow due to a lack of efficient blood sample transportation networks (STN). To assist Zambia in scaling up testing capacity, we modelled an optimal STN to minimize the cost of a national VL STN.

methodsThe model optimizes a STN in Zambia for the anticipated 1.5 million VL tests that will be needed in 2020, taking into account geography, district political boundaries, and road, laboratory and facility infrastructure. We evaluated all-inclusive STN costs of two alternative scenarios: (1) optimized status quo: each district provides its own weekly or daily sample transport; and (2) optimized borderless STN: ignores district boundaries, provides weekly or daily sample transport, and reaches all Scenario 1 facilities.

resultsUnder both scenarios, VL testing coverage would increase to from 10% in 2016 to 91% in 2020. The mean transport cost per VL in Scenario 2 was $2.11 per test (SD $0.28), 52% less than the mean cost/test in Scenario 1, $4.37 (SD $0.69), comprising 10% and 19% of the cost of a VL respectively.

conclusionsAn efficient STN that optimizes sample transport on the basis of geography and test volume, rather than political boundaries, can cut the cost of sample transport by more than half, providing a cost savings opportunity for countries that face significant resource constraints.

Indexed as

Anti-Retroviral AgentsCommunity NetworksHIV InfectionsHumansModels, TheoreticalMonitoring, PhysiologicTransportationViral LoadWorld Health OrganizationZambiaAnti-Retroviral Agentscost modellinggeospatial modellinghealth systemspatient monitoringviral loadviral load scale-up

Identifiers

PMID30515997
PMCPMC6280013

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LicenceCC BY
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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.