Evidence map›Paper›PMID 31447499›Full record

ArticleEthiopian journal of health sciences2019

External Quality Assessment on CD4+ T-Cell Count Using in-House Proficiency Testing Panels for CD4 Count Laboratories in Addis Ababa, Ethiopia.

Natnael Kidanu Yibalih, Dawit Wolday, Samuel Kinde, Gebru Mulugeta Weldearegay

Abstract read
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Article in Ethiopian journal of health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Natnael Kidanu YibalihSchool of Medicine, Aksum University, College of Health Science and Comprehensive Specialized Hospital, Aksum, Ethiopia.
Dawit WoldayManager of Medical Biotech Laboratory, Addis Ababa, Ethiopia.
Samuel KindeDepartment of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Gebru Mulugeta WeldearegayDepartment of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD4+ T-cell count External Quality Assessment program is important for the evaluation of performance of CD4 count laboratories. The aim of this study was to assess the quality of CD4count laboratory performance using in-house Proficiency testing panels that perform routine CD4 counts in Addis Ababa, Ethiopia, 2013/14.

methodsParticipating laboratories were 20, 23 and 25 in trials 1, 2 and 3, respectively. In-house prepared fresh whole blood samples both with "normal" and "low" CD4 values were sent to participating laboratories. Percentage and absolute counts of CD4+ T-lymphocytes were done using their routine procedures. Data were analyzed for each trial including trimmed mean, standard deviation (SD), percent coefficient of variation (%CV), residual, and standard deviation index (SDI) values for both absolute counts and percentages of CD4+ lymphocytes (%CD4).

resultsMost participating laboratories produced results that were within 2SD of the mean. Average inter-laboratory precision (trimmed %CV) was 10.87% and 5.14% for CD4 absolute counts and %CD4, respectively. For normal material, the trimmed mean %CV was 9.59% and3.23% for CD4 absolute counts and %CD4, respectively. For low material, the trimmed mean % CV was 12.15% and 7.05% for CD4 absolute counts and %CD4 respectively. BDFACSCount™ users showed the best accuracy and precision as evidenced by longitudinal analysis.

conclusionThis study was found to help facilities in early identifying their gaps with regard to their CD4 count performance and in avoiding the challenges encountered during participation in external EQA providers like the high cost, transportation problem, feedback delay and CD4laboratory coverage.

Indexed as

CD4 Lymphocyte CountQuality Assurance, Health CareData AccuracyEthiopiaHumansCD4 countEQA programExternal quality assessmentin-house proficiency testing panels

Identifiers

PMID31447499
PMCPMC6689725

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