Evidence map›Paper›PMID 27113335›Full record

ArticleJournal of the International AIDS Society2016

Factors associated with initiation of antiretroviral therapy in the advanced stages of HIV infection in six Ethiopian HIV clinics, 2012 to 2013.

Denis Nash, Olga Tymejczyk, Tsigereda Gadisa, Sarah Gorrell Kulkarni, Susie Hoffman, Muluneh Yigzaw, Batya Elul, Robert H Remien, Maria Lahuerta, Shalo Daba and 2 more

Abstract read
In one paragraph

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 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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

42 citing papers in PubMed, 3 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

12 authors.

Denis NashDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Olga TymejczykDepartment of Epidemiology, City University of New York, School of Public Health, New York, NY, USA; otymejcz@hunter.cuny.edu.
Tsigereda GadisaICAP, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sarah Gorrell KulkarniDepartment of Epidemiology, City University of New York, School of Public Health, New York, NY, USA.
Susie HoffmanDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Muluneh YigzawICAP, Mailman School of Public Health, Columbia University, New York, NY, USA.
Batya ElulDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Robert H RemienHIV Center for Clinical and Behavioral Studies, New York, NY, USA.
Maria LahuertaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Shalo DabaOromia State Regional Bureau of Health, Addis Ababa, Ethiopia.
Wafaa El SadrDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Zenebe MelakuICAP, Mailman School of Public Health, Columbia University, New York, NY, USA.

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
Multi-level determinants of late ART initiation in sub-Saharan AfricaR01MH089831 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELUL, BATYA ORIT · 2010 to 2014
$3.6M
NIMH NIH HHS P30 MH043520NIMH NIH HHS R01 MH089831NIMH NIH HHS R01MH089831
6 · The paper itself

Abstract

introductionMost HIV-positive persons in sub-Saharan Africa initiate antiretroviral therapy (ART) with advanced infection (late ART initiation). Intervening on the drivers of late ART initiation is a critical step towards achieving the full potential of HIV treatment scale-up. This study aimed to identify modifiable factors associated with late ART initiation in Ethiopia.

methodsFrom 2012 to 2013, Ethiopian adults (n=1180) were interviewed within two weeks of ART initiation. Interview data were merged with HIV care histories to assess correlates of late ART initiation (CD4+ count <150 cells/µL or World Health Organization Stage IV).

resultsThe median CD4 count at enrollment in HIV care was 263 cells/µL (interquartile range (IQR): 140 to 390) and 212 cells/µL (IQR: 119 to 288) at ART initiation. Overall, 31.2% of participants initiated ART late, of whom 85.1% already had advanced HIV disease at enrollment. Factors associated with higher odds of late ART initiation included male sex (vs. non-pregnant females; adjusted odds ratio (aOR): 2.02; 95% CI: 1.50 to 2.73), high levels of psychological distress (vs. low/none, aOR: 1.96; 95% CI: 1.34 to 2.87), perceived communication barriers with providers (aOR: 2.42, 95% CI: 1.24 to 4.75), diagnosis via provider initiated testing (vs. voluntary counselling and testing, aOR: 1.47, 95% CI: 1.07 to 2.04), tuberculosis (TB) treatment prior to ART initiation (aOR: 2.16, 95% CI: 1.43 to 3.25) and a gap in care of six months or more prior to ART initiation (aOR: 2.02, 95% CI: 1.10 to 3.72). Testing because of partner illness/death (aOR: 0.64, 95% CI: 0.42 to 0.95) was associated with lower odds of late ART initiation.

conclusionsProgrammatic initiatives promoting earlier diagnosis, engagement in pre-ART care, and integration of TB and HIV treatments may facilitate earlier ART initiation. Men and those experiencing psychological distress may also benefit from targeted support prior to ART initiation.

Indexed as

AdultAgedAnti-HIV AgentsCD4 Lymphocyte CountEthiopiaFemaleHIV InfectionsHumansMaleMiddle AgedTime FactorsAnti-HIV Agentsantiretroviral therapy guidelinesantiretroviral therapy initiationEthiopiaHIV-positive adultsimplementation sciencetuberculosis treatment

Identifiers

PMID27113335
PMCPMC4845592

What OpenQuestion holds

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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.