Evidence map›Paper›PMID 32391245›Full record

ArticleAfrican journal of laboratory medicine2020

Timely delivery of laboratory efficiency information, Part II: Assessing the impact of a turn-around time dashboard at a high-volume laboratory.

Naseem Cassim, Lindi M Coetzee, Manfred E E Tepper, Louella Perelson, 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Assessing laboratory specimen losses for the city of Johannesburg, South Africa.African journal of primary health care & family medicine · 2025
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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

5 authors.

Naseem CassimNational Health Laboratory Service (NHLS), Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-4389-2849
Lindi M CoetzeeNational Health Laboratory Service (NHLS), Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8981-1744
Manfred E E TepperNational Health Laboratory Service (NHLS), Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-9295-0748
Louella PerelsonNational Health Laboratory Service (NHLS), Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-3218-8445
Deborah K GlencrossNational Health Laboratory Service (NHLS), 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

backgroundIn South Africa's National Health Laboratory Service, ad hoc mean turn-around time (TAT) reporting is an important indicator of performance. However, historic static TAT reporting did not assess very long or very short times. An interactive TAT dashboard was developed using the following TAT measures; (1) median, (2) 75th percentile and (3) percentage of within cut-off TAT to allow for improved differentiation of TAT performance.

objectivesThe objective of our study was to demonstrate increased efficiency achieved by using an interactive TAT dashboard.

methodsA retrospective descriptive study design was used. Creatinine TAT outcomes were reported over 122 weeks from a high-volume laboratory in Gauteng, South Africa. The percentage of within cut-off and 75th percentile TAT were analysed and reported using Microsoft Excel. A focus group session was used to populate a cause and effect diagram.

resultsThe percentage of within cut-off TAT increased from 10% in week 4 to 90% and higher from week 81. The 75th percentile decreased from 10 hours in week 4 to under 5 h from week 71. Component TAT analysis revealed that the 75th percentile testing was 5 h or longer for weeks 4, 5 and 48. The 75th percentile review TAT ranged from 1 h to 15 h. From week 41, the review TAT was under 1 h.

conclusionOur study demonstrated that the use of an interactive TAT dashboard coupled with good management can dramatically improve TAT and efficiency in a high-volume laboratory.

Indexed as

laboratory efficiencylaboratory medicinepathologyturn-around-time

Identifiers

PMID32391245
PMCPMC7203269

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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.