Unsuccessful Xpert® MTB/RIF results: the Nigerian experience
Setting: Nigeria, a high tuberculosis (TB) burden country.Objective: To study the rate, distribution and causes of unsuccessful Xpert® MTB/RIF test outcomes, with the aim of identifying key areas that need to be strengthened for optimal performance of the assay.Design: This was a retrospective analy...
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Published in | Public health action Vol. 8; no. 1; pp. 2 - 6 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
France
International Union Against Tuberculosis and Lung Disease
21.03.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Setting: Nigeria, a high tuberculosis (TB) burden country.Objective: To study the rate, distribution and causes of unsuccessful Xpert® MTB/RIF test outcomes, with the aim of identifying key areas that need to be strengthened for optimal performance of
the assay.Design: This was a retrospective analysis of data uploaded between January and December 2015 from Xpert facilities to the central server using GXAlert.Result: Of 52 219 test results uploaded from 176 Xpert machines, 22.5% were positive for <named-content
xmlns:xlink="http://www.w3.org/1999/xlink" content-type="genus-species">Mycobacterium tuberculosis</named-content>, 10.8% of which were rifampicin-resistant; 4.7% of the total number of results were invalid, 4.2% had error results and 2.1% no result outcomes. Technical errors were
most frequent (69%); these were non-seasonal and occurred in all geopolitical regions and at all health facility levels. Temperature-related errors were more prevalent in the North-West Region, with peaks in April to June. Peak periods for temperature and machine malfunction errors coincided
with the periods of low utilisation of the assay.Conclusion: The key challenge affecting performance was poor adherence to standard operating procedures. Periodic refresher training courses, regular supervision, preventive maintenance of Xpert machines and proper storage of cartridges
are strategies that could improve Xpert performance. |
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Bibliography: | 2220-8372(20180321)8:1L.2;1- ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2220-8372 2220-8372 |
DOI: | 10.5588/pha.17.0080 |