Evidence map›Paper›PMID 27907114›Full record

ArticlePloS one2016

Rates and Predictors of Non-Adherence to Antiretroviral Therapy among HIV-Positive Individuals in Kenya: Results from the Second Kenya AIDS Indicator Survey, 2012.

Irene N Mukui, Lucy Ng'ang'a, John Williamson, Joyce N Wamicwe, Shobha Vakil, Abraham Katana, Andrea A Kim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 9% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  20. Patterns of detectable viraemia among children and adults with HIV infection taking antiretroviral therapy in Zimbabwe.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2019
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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

7 authors at 2 institutions in 1 country.

Irene N MukuiNational AIDS & STI Control Programme, Department of Preventive and Promotive Health Services, Ministry of Health, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-3699-1841
Lucy Ng'ang'aDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, Nairobi, Kenya.
John WilliamsonDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Joyce N WamicweNational AIDS & STI Control Programme, Department of Preventive and Promotive Health Services, Ministry of Health, Nairobi, Kenya.
Shobha VakilNational AIDS & STI Control Programme, Department of Preventive and Promotive Health Services, Ministry of Health, Nairobi, Kenya.
Abraham KatanaDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Andrea A KimDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Centers for Disease Control and Prevention · KEMinistry of Health · KE

Funding

CGH CDC HHS U19 GH000069
6 · The paper itself

Abstract

introductionUnderstanding the levels and associated factors of non-adherence to antiretroviral therapy (ART) is crucial in designing interventions to improve adherence and health outcomes of ART. We assessed non-adherence to ART among HIV-infected persons reporting ART use in a nationally representative survey in Kenya.

methodsThe Kenya AIDS Indicator Survey 2012 was a population-based, household survey of persons aged 18 months-64 years conducted in 2012-2013. Self-reported information was collected on demographics, sexual behaviour, HIV status, and ART use. Blood was collected for HIV testing, and if HIV infected, CD4 and viral load testing. HIV-positive specimens were tested for the presence of antiretroviral (ARV) drugs using a qualitative ARV assay using liquid chromatography-tandem mass spectrometry. HIV-positive persons who reported receiving ART but did not have the ARV biomarker present were defined as being non-adherent to their ARV medication. We restricted our analysis to HIV-infected persons aged 15-64 years who reported receiving ART and had laboratory-confirmed results from ARV testing. Multivariate logistic regression was used to identify variables associated with non-adherence.

resultsA total of 648 (5.6%; CI 4.9-6.3) tested HIV-positive of whom 559 (86.3%) had sufficient volume of blood to be tested for ARV drugs. Of those, 271 (47.7%; CI 41.8-53.6) self-reported HIV-positive status during the interview and 186 (69.1%; CI 62.2-76.0) of those reported taking ART. The ARV biomarker was absent in 18 of 186 individuals (9.4%; CI 4.9-13.8) who thus were defined as being non-adherent to ART. Non-adherence was associated with being aged 15-29 years (AOR 8.39; CI 2.26-31.22, p = 0.002) compared to aged 30-64 years, rural residence (AOR 5.87; CI 1.39-25.61, p = 0.016) compared with urban residence and taking recreational drugs in the past 30 days (AOR 5.89; CI 1.30-26.70, p = 0.022).

conclusionOverall, less than 10% of Kenyans aged 15-64 years on ART were not adhering to their HIV medication, highlighting the success of the Kenyan national ART program. Our findings, however, point to the need for targeted interventions particularly for young persons, those in rural areas to improve adherence outcomes, as well as delivery of treatment programs that include psychosocial support as a preventative measure to minimize substance abuse and the risk of treatment failure.

Indexed as

Medication AdherencePublic Health SurveillanceAdolescentAdultAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountFemaleHIV InfectionsHumansKenyaMaleMiddle AgedOdds RatioRisk FactorsSexual BehaviorSocioeconomic Factors

Identifiers

PMID27907114
PMCPMC5131960
OpenAlexW2558209967

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.