Evidence map›Paper›PMID 38937708›Full record

ArticleBMC infectious diseases2024

The development and implementation of a proficiency testing program for SARS-CoV-2 using dried tube specimens in resource-limited countries.

Pius Lutaaya, Ocung Guido, Hasifah Nakato Ssentamu, George William Kasule, Mary Akumu, Jupiter Marina Kabahita, Bernard Bagaya, Kenneth Musisi, Denis Oola, Anitah Katuramu and 13 more

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Article in BMC infectious diseases, 2024. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

23 authors.

Pius LutaayaNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda. hopepius40@gmail.com.
Ocung GuidoNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Hasifah Nakato SsentamuNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
George William KasuleNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Mary AkumuNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Jupiter Marina KabahitaNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Bernard BagayaNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Kenneth MusisiNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Denis OolaNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Anitah KaturamuNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Andrew NsawotebbaNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Edgar KigoziDepartment of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda.
Faith NakazziDepartment of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda.
Joel Kabugo SolomonNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Isa AdamNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Orena BeatriceNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Joanita NamutebiNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Brenda AyebareDepartment of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda.
Abdunoor NyombiNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Charles ManyongeNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Ademun Julius PatrickNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Kangave FredrickNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.
Moses L JolobaNational Tuberculosis Reference Laboratory/WHO Supranational Reference Laboratory, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhen COVID-19 hit the world in 2019, an enhanced focus on diagnostic testing for SARS-CoV-2 was essential for a successful pandemic response. Testing laboratories stretched their capabilities for the new coronavirus by adopting different test methods. The necessity of having external quality assurance (EQA) mechanisms was even more critical due to this rapid expansion. However, there was a lack of experience in providing the necessary SARS-CoV-2 EQA materials, especially in locations with constrained resources.

objectiveWe aimed to create a PT (Proficiency testing) programme based on the Dried Tube Specimens (DTS) method that would be a practical option for molecular based SARS-CoV-2 EQA in Low- and Middle-Income Countries.

methodsBased on previous ISO/IEC 17043:2010 accreditation experiences and with assistance from the US Centers for Disease Control and Prevention, The Supranational Reference Laboratory of Uganda (adapted the DTS sample preparation method and completed a pilot EQA program between 2020 and 2021. Stability and panel validation testing was conducted on the designed materials before shipping to pilot participants in six African countries. Participants received a panel containing five SARS-CoV-2 DTS samples, transported at ambient conditions. Results submitted by participants were compared to validation results. Participants were graded as satisfactory (≥ 80%) or unsatisfactory (< 80%) and performance reports disseminated.

resultsOur SARS-CoV-2 stability experiments showed that SARS-CoV-2 RNA was stable (-15 to -25 °C, 4 to 8 °C, (18 to 28 °C) room temperature and 35 to 38 °C) as well as DTS panels (4 to 8 °C, 18 to 28 °C, 35 to 38 °C and 45 °C) for a period of 4 weeks. The SARS-CoV-2 DTS panels were successfully piloted in 35 test sites from Zambia, Malawi, Mozambique, Nigeria, and Seychelles. The pilot results of the participants showed good accuracy, with an average of 86% (30/35) concordance with the original SARS CoV-2 expectations.

conclusionThe SARS-CoV-2 DTS PT panel is reliable, stable at ambient temperature, simple to prepare and requires minimal resources.

Indexed as

COVID-19Developing CountriesLaboratory Proficiency TestingSARS-CoV-2Specimen HandlingCOVID-19 TestingHumansPilot ProjectsUgandaDried tube specimensExternal quality assessmentProficiency testingSARS-CoV-2

Identifiers

PMID38937708
PMCPMC11209982

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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.