Evidence map›Paper›PMID 25807553›Full record

Observational studyPloS one2015

Uptake of WHO recommendations for first-line antiretroviral therapy in Kenya, Uganda, and Zambia.

Herbert C Duber, Emily Dansereau, Samuel H Masters, Jane Achan, Roy Burstein, Brendan DeCenso, Anne Gasasira, Gloria Ikilezi, Caroline Kisia, Felix Masiye and 5 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. AIDS at 40Global health & medicine · 2022
    Review
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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

15 authors.

Herbert C DuberInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Emily DansereauInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Samuel H MastersInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Jane AchanInfectious Disease Research Collaboration, Makerere University, Kampala, Uganda.
Roy BursteinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Brendan DeCensoInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Anne GasasiraInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Gloria IkileziInfectious Disease Research Collaboration, Makerere University, Kampala, Uganda.
Caroline KisiaAction Africa Help-International, Nairobi, Kenya.
Felix MasiyeDepartment of Economics, University of Zambia, Lusaka, Zambia.
Pamela NjugunaAction Africa Help-International, Nairobi, Kenya.
Thomas OdenyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Emelda OkiroInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
D Allen RobertsInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
Emmanuela GakidouInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntiretroviral therapy (ART) guidelines were significantly changed by the World Health Organization in 2010. It is largely unknown to what extent these guidelines were adopted into clinical practice.

methodsThis was a retrospective observational analysis of first-line ART regimens in a sample of health facilities providing ART in Kenya, Uganda, and Zambia between 2007-2008 and 2011-2012. Data were analyzed for changes in regimen over time and assessed for key patient- and facility-level determinants of tenofovir (TDF) utilization in Kenya and Uganda using a mixed effects model.

resultsData were obtained from 29,507 patients from 146 facilities. The overall percentage of patients initiated on TDF-based therapy increased between 2007-2008 and 2011-2012 from 3% to 37% in Kenya, 2% to 34% in Uganda, and 64% to 87% in Zambia. A simultaneous decrease in stavudine (d4T) utilization was also noted, but its use was not eliminated, and there remained significant variation in facility prescribing patterns. For patients initiating ART in 2011-2012, we found increased odds of TDF use with more advanced disease at initiation in both Kenya (odds ratio [OR]: 2.78; 95% confidence interval [CI]: 1.73-4.48) and Uganda (OR: 2.15; 95% CI: 1.46-3.17). Having a CD4 test performed at initiation was also a significant predictor in Uganda (OR: 1.43; 95% CI: 1.16-1.76). No facility-level determinants of TDF utilization were seen in Kenya, but private facilities (OR: 2.86; 95% CI: 1.45-5.66) and those employing a doctor (OR: 2.86; 95% CI: 1.48-5.51) were more likely to initiate patients on TDF in Uganda. DISCUSSION: d4T-based ART has largely been phased out over the study period. However, significant in-country and cross-country variation exists. Among the most recently initiated patients, those with more advanced disease at initiation were most likely to start TDF-based treatment. No facility-level determinants were consistent across countries to explain the observed facility-level variation.

Indexed as

AdolescentAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveFemaleHIV InfectionsHumansKenyaMaleMiddle AgedRetrospective StudiesStavudineTenofovirUgandaWorld Health OrganizationYoung AdultAnti-HIV AgentsStavudineTenofovir

Identifiers

PMID25807553
PMCPMC4373941

What OpenQuestion holds

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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.