Evidence map›Paper›PMID 37000713›Full record

ArticlePLOS global public health2023

Small area analysis of HIV viral load suppression patterns in a high priority district (2012-2016), South Africa.

Lucy Chimoyi, Tendesayi Kufa, Zvifadzo Matsena-Zingoni, Florian Marx, Kennedy Otwombe, Eustasius Musenge, Salome Charalambous

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Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Lucy ChimoyiImplementation Research Division, The Aurum Institute, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-0083-8319
Tendesayi KufaSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-9797-616X
Zvifadzo Matsena-ZingoniSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-7993-1187
Florian MarxDSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa.
Kennedy OtwombeSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Eustasius MusengeSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Salome CharalambousImplementation Research Division, The Aurum Institute, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, high viral load (VL) suppression rates are indicators of successful HIV treatment programs. Evaluation of these programmes at lower levels is likely to highlight variations that are masked at the provincial or national levels. This ecological study used routinely collected clinical and surveillance data on the HIV programme from 88 sampled Ekurhuleni wards. Between January 2012 and December 2016, 26 222 HIV VL tests for 2817 patients were conducted. We conducted a secondary analysis to determine the predictors of high VL suppression accounting for space and time random effects and estimate the impact of the national universal test-and-treat roll-out in 2016 and forecast VL suppression rates for five years post-2016.The proportion of VL suppression increased over the years: 2012 (47.8%: 95% confidence interval (CI): 36.7%-67.4%); 2013 (58.2%: 95%CI: 41.4%-79.6%); 2014 (62.7%: 95%CI: 45.2%-84.7%); 2015 (67.2%: 95%CI: 49.0%-89.9%) and 2016 (61.2%: 95%CI: 43.9%-83.0%). For every percentage increase in ART initiation, high VL suppression rates increased by 35% (RR: 1.345; 95% credible interval (Crl) 1.221-1.492) and for every percentage increase in women in the ward, high VL suppression increased by 44% (RR: 1.442; 95%CrI: 1.056-1.962). There was evidence of high and low clusters of viral load suppression observed at ward-level. The VL suppression rates in Ekurhuleni were lower than the 90% UNAIDS target. There was heterogeneity of high VL suppression across wards and study period. Targeted interventions strengthening ART initiation and retention in care are critical to achieving optimal VL suppression in Ekurhuleni and districts with similar profiles.

Identifiers

PMID37000713
PMCPMC10065273

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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.