Evidence map›Paper›PMID 29615387›Full record

ArticleJMIR public health and surveillance2018

Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa.

Brian Rice, Andrew Boulle, Stefan Baral, Matthias Egger, Paul Mee, Elizabeth Fearon, Georges Reniers, Jim Todd, Sandra Schwarcz, Sharon Weir and 2 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Observational
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  5. Review
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  10. Article
  11. The Shinyanga Patient: A Patient's Journey through HIV Treatment Cascade in Rural Tanzania.International journal of environmental research and public health · 2021
    Article
  12. 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

12 authors.

Brian RiceSocial and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-5416-8058
Andrew BoulleCentre for Infectious Disease Epidemiology and Research, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-7713-8062
Stefan BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-5482-2419
Matthias EggerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0001-7462-5132
Paul MeeSocial and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0003-0912-0984
Elizabeth FearonSocial and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0001-5574-251X
Georges ReniersDepartment of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0001-6582-1692
Jim ToddDepartment of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0001-5918-4914
Sandra SchwarczGlobal Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0001-7611-4387
Sharon WeirDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0001-6014-1460
George RutherfordGlobal Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-0707-8287
James HargreavesSocial and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-3509-3572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global HIV response has entered a new phase with the recommendation of treating all persons living with HIV with antiretroviral therapy, and with the goals of reducing new infections and AIDS-related deaths to fewer than 500,000 by 2020. This new phase has intensive data requirements that will need to utilize routine data collected through service delivery platforms to monitor progress toward these goals. With a focus on sub-Saharan African, we present the following priorities to improve the demand, supply, and use of routine HIV data: (1) strengthening patient-level HIV data systems that support continuity of clinical care and document sentinel events; (2) leveraging data from HIV testing programs; (3) using targeting data collection in communities and among clients; and (4) building capacity and promoting a culture of HIV data quality assessment and use. When fully leveraged, routine data can efficiently provide timely information at a local level to inform action, as well as provide information at scale with wide geographic coverage to strengthen estimation efforts.

Indexed as

cascadeclinicaldataHIVmonitoringpreventionprogramquality assessmentsub-Saharan Africasurveillancesystemstestingtreatment

Identifiers

PMID29615387
PMCPMC5904448

What OpenQuestion holds

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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.