Evidence map›Paper›PMID 41069499›Full record

ArticleJournal of public health in Africa2025

The impact of a CD4 tiered service model on interlaboratory referral distances in South Africa.

Naseem Cassim, Manuel P da Silva, Deborah K Glencross, Lindi-Marie Coetzee, Wendy S Stevens

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 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

5 authors.

Naseem CassimWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-4389-2849
Manuel P da SilvaWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-9869-5271
Deborah K GlencrossFaculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7106-769X
Lindi-Marie CoetzeeWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8981-1744
Wendy S StevensWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-1684-908X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: South Africa has the world's largest human immunodeficiency virus (HIV) pandemic. Most service gaps for cluster of differentiation 4 (CD4) testing were previously addressed. Aim: This study aimed to assess the impact of a tiered service on interlaboratory referral distances. Setting: Data are reported for CD4 testing that are referred from a national network of laboratories. Methods: Test volumes were extracted for source and testing laboratories from 2012 to 2021. The Euclidean distances (EDs) were calculated, with the annual and provincial medians reported and categorised (50 km, 51 km - 99 km, 100 km - 199 km, 200 km - 299 km and ≥ 300 km). The relationship between ED, referrals and turnaround time (TAT) was analysed. The change in the provincial median ED between 2012 and 2021 was calculated. Results: Data included 14 487 006 referrals. The median ED ranged from 55 km to 60 km. An ED category of 51 km - 99 km, 100 km - 199 km, 200 km - 299 km and ≥ 300 km was reported for 35.1%, 13.2%, 3.5% and 0.3% of the specimens. A negative linear correlation was reported for ED with referral volumes (-0.1540) and TAT (-0.2305). The provincial median ED ranged from 16 km (Gauteng) to 186 km (Northern Cape). Excluding the Northern Cape, a provincial ED of ≤ 100 km was reported. The percentage change in median ED between 2012 and 2021 ranged from -55.7% (Free State) to 0.8% (Mpumalanga). Two source laboratories reported a median ED > 300 km in 2021 (Springbok and Beaufort West). Conclusion: The study's findings indicate that the decentralisation of services reduced the national median ED to below 60 km. Contribution: The tiered implementation improved accessibility, however, some coverage gaps still remain.

Indexed as

CD4distanceeuclidean distance (ED)HIVinterlaboratory referrals

Identifiers

PMID41069499
PMCPMC12505752

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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.