2016
DOI: 10.3126/saarctb.v12i2.15948
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Assessment of Gene-Xpert MTB RIF Program Implementation and the Challenges For Enhanced Tuberculosis Diagnosis in Nigeria

Abstract: Introduction: Gene-Xpert MTBRIF, rapid tuberculosis and rifampicin resistance diagnostic technology is implemented in Nigeria to enhance public health response to tuberculosis diagnosis in HIV patients with presumed tuberculosis (TB), and presumed cases of drug resistant TB. The aim of the paper is to share experience on programmatic issues on Xpert MTB RIF roll-out.

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Cited by 9 publications
(19 citation statements)
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References 20 publications
(21 reference statements)
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“…In addition to data sources, factors such as defective modules, staff experience, and cartridge version (G3 vs. G4) could affect the occurrence of unsuccessful results [31, 32]. On the other hand, relatively lower unsuccessful rate reported by Ardizzoni et al [32] and Mustapha et al [33]. However, laboratory register used as a sole data source for Xpert data and may not capture the initial test outcomes in case of test failures.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to data sources, factors such as defective modules, staff experience, and cartridge version (G3 vs. G4) could affect the occurrence of unsuccessful results [31, 32]. On the other hand, relatively lower unsuccessful rate reported by Ardizzoni et al [32] and Mustapha et al [33]. However, laboratory register used as a sole data source for Xpert data and may not capture the initial test outcomes in case of test failures.…”
Section: Discussionmentioning
confidence: 99%
“…[2,3] A web-based system for GeneXpert reporting, the GxAlert, was introduced in 2012 which facilitates the flow of patients, samples, and results at facility level by transmitting instant SMS results to clinicians and patients. [12,13]…”
Section: Methodsmentioning
confidence: 99%
“…Among the studies included in this review, the huband-spoke implementation approach for Xpert was used more often (n=6) 15,[26][27][28][29][30] than the point-of-care model (n=5). [31][32][33][34][35] As part of the hub-and-spoke model, varying approaches to the transportation of samples between the laboratory and clinic were identified, which included transportation by a health care worker, 30 employed drivers, 26,28 and informal couriers. 27 The return of results to the clinic that collected the patient sputum sample most commonly occurred via the same transport network, while a study in Uganda examined the use of SMS to return results directly to the clinic and patient.…”
Section: Implementation Approachesmentioning
confidence: 99%