Evidence map›Paper›PMID 33392053›Full record

ArticleAfrican journal of laboratory medicine2020

Categorising specimen referral delays for CD4 testing: How inter-laboratory distances and travel times impact turn-around time across a national laboratory service in South Africa.

Naseem Cassim, Lindi M Coetzee, Deborah K Glencross

Abstract read
In one paragraph

Article in African journal of laboratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Naseem CassimNational Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-4389-2849
Lindi M CoetzeeNational Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8981-1744
Deborah K GlencrossNational Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7106-769X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe South African National Health Laboratory Service provides laboratory services for public sector health facilities, utilising a tiered laboratory model to refer samples for CD4 testing from 255 source laboratories into 43 testing laboratories.

objectiveThe aim of this study was to determine the impact of distance on inter-laboratory referral time for public sector testing in South Africa in 2018.

methodsA retrospective cross-sectional study design analysed CD4 testing inter-laboratory turn-around time (TAT) data for 2018, that is laboratory-to-laboratory TAT from registration at the source to referral receipt at the testing laboratory. Google Maps was used to calculate inter-laboratory distances and travel times. Distances were categorised into four buckets, with the median and 75th percentile reported. Wilcoxon scores were used to assess significant differences in laboratory-to-laboratory TAT across the four distance categories.

resultsCD4 referrals from off-site source laboratories comprised 49% (

conclusionVariability in inter-laboratory TAT was noted for all inter-laboratory distances, especially those exceeding 300 km. The correlation between distance and laboratory-to-laboratory TAT suggests that interventions are required for distant laboratories.

Indexed as

CD4cluster of differentiation 4distanceHIVimmune statusinter-laboratory referraltravel time

Identifiers

PMID33392053
PMCPMC7756670

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