Evidence map›Paper›PMID 23762406›Full record

ArticlePloS one2013

HIV drug resistance early warning indicators in Namibia for public health action.

Anna Jonas, Justice Gweshe, Milner Siboleka, Michael Deklerk, Michael Gawanab, Alfons Badi, Victor Sumbi, Dawn Pereko, Abraham Blom, Samson Mwinga and 4 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Article
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

14 authors.

Anna JonasDirectorate of Special Programmes, Republic of Namibia Ministry of Health and Social Services, Windhoek, Namibia.
Justice Gweshe
Milner Siboleka
Michael Deklerk
Michael Gawanab
Alfons Badi
Victor Sumbi
Dawn Pereko
Abraham Blom
Samson Mwinga
Michael R Jordan
Logan Jerger
Kiger Lau
Steven Y Hong

Funding

Namibia ART Patient Tracing Intensification and Predictors of Loss to Follow-upK23AI097010 · NIAID · TUFTS MEDICAL CENTER · PI HONG, STEVEN YONGKEUN · 2012 to 2016
$664k
NIAID NIH HHS K23 AI097010
6 · The paper itself

Abstract

backgroundHIV drug resistance (HIVDR) testing is not routinely available in many resource-limited settings, therefore antiretroviral therapy (ART) program and site factors known to be associated with emergence of HIVDR should be monitored to optimize the quality of patient care and minimize the emergence of preventable HIVDR.

methodsIn 2010, Namibia selected five World Health Organization Early Warning Indicators (EWIs) and scaled-up monitoring from 9 to 33 ART sites: ART prescribing practices, Patients lost to follow-up (LTFU) at 12 months, Patients switched to a second-line regimen at 12 months, On-time antiretroviral (ARV) drug pick-up, and ARV drug-supply continuity.

resultsRecords allowed reporting on three of the five selected EWIs. 22 of 33 (67%) sites met the target of 100% initiated on appropriate first-line regimens. 17 of 33 (52%) sites met the target of ≤20% LTFU. 15 of 33 (45%) sites met the target of 0% switched to a second-line regimen.

conclusionsEWI monitoring directly resulted in public health action which will optimize the quality of care, specifically the strengthening of ART record systems, engagement of ART sites, and operational research for improved adherence assessment and ART patient defaulter tracing.

Indexed as

Health Status IndicatorsPublic HealthAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveDrug Resistance, ViralGeographyHIV InfectionsHumansLost to Follow-UpNamibiaPractice Patterns, Physicians'World Health OrganizationAnti-HIV Agents

Identifiers

PMID23762406
PMCPMC3676318

What OpenQuestion holds

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LicenceCC BY
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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.