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. 2025 Jul 30;17(1):e1-e8.
doi: 10.4102/phcfm.v17i1.4907.

Assessing laboratory specimen losses for the city of Johannesburg, South Africa

Naseem Cassim  1 , Ernest P Buthelezi, Somayya Sarang, Sadhaseevan Moodly, Lucia Hans, Lindi-Marie Coetzee
Affiliations

Assessing laboratory specimen losses for the city of Johannesburg, South Africa

Naseem Cassim et al. Afr J Prim Health Care Fam Med. .

Abstract

Background: Specimen losses across the pathology value chain (PVC) result in missed diagnostic opportunities. It is difficult to fully assess these due to the current paper-based systems, with tracking of specimens only possible on the laboratory information system (LIS).

Aim: This study aimed to assess specimen losses using the paper-based register.

Setting: Randomly selected Primary health care (PHC) facilities, City of Johannesburg, South Africa.

Methods: The retrospective descriptive study design was used to scan 1,000 barcodes from facilities in sub-districts A to G. Data was limited to barcodes from the request form and excluded surveillance testing. Matching data from the laboratory repository was extracted. PVC losses were assessed by determining the percentage of scanned barcodes that had a registered, tested, reviewed and/or rejected date. The analysis was stratified according to sub-district, health facility type and test code.

Results: The dataset analysed included 33 867 barcodes with 121 697 test codes, equating to 3.59 tests per barcode. Matching registered, tested and reviewed dates were detected for 33 107 (97.76%) barcodes. In total, a rejection for one or more test codes was detected for 1,961 barcodes (5.79%). At the sub-district level, between 95.95% (D) and 98.90% (E) of barcodes were reviewed. The rejection rate ranged from 3.27% (F) to 10.93% (D). For community health centres and clinics, 97.37% and 97.97% of the barcodes had a matching reviewed date.

Conclusion: PVC losses reported were 4.05%, excluding rejections (5.79%), with slightly higher levels noted at the sub-district level. Contribution: The continuous audit of PVC losses is recommended.

Keywords: laboratory information system; losses; pathology value chain; primary health care; rejection; repository.

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Conflict of interest statement

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Figures

FIGURE 1
FIGURE 1
Decision tree depicting the barcodes scanned from randomly selected Primary Health Care facilities in the City of Johannesburg as well as the reasons for exclusion.
See this image and copyright information in PMC

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References

    1. Tuijn CJ, Msoka E, Mushi DL, Sumari-de Boer M, Chilongola J, Van den Broek A. The interface between clinicians and laboratory staff: A field study in northern Tanzania. Afr J Lab Med. 2014;3(1):126. 10.4102/ajlm.v3i1.126 - DOI - PMC - PubMed
    1. Plebani M. Errors in clinical laboratories or errors in laboratory medicine? Clin Chem Lab Med. 2006;44(6):750–759. 10.1515/cclm.2006.123 - DOI - PubMed
    1. Sharaki O, Abouzeid A, Hossam N, Elsherif Y. Self-assessment of pre, intra and post analytical errors of urine analysis in Clinical Chemistry Laboratory of Alexandria Main University Hospital. Saudi J Health Sci. 2014;3(2):96–102. 10.4103/2278-0521.134863 - DOI
    1. Plebani M, Sciacovelli L, Aita A. Quality indicators for the total testing process. Clin Lab Med. 2017;37(1):187–205. 10.1016/j.cll.2016.09.015 - DOI - PubMed
    1. Plebani M. The detection and prevention of errors in laboratory medicine. Ann Clin Biochem. 2010;47(2):101–110. 10.1258/acb.2009.009222 - DOI - PubMed

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