2019
DOI: 10.1371/journal.pone.0225205
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Monitoring quality indicators for the Xpert MTB/RIF molecular assay in Ethiopia

Abstract: IntroductionIn Ethiopia, >300 GeneXpert instruments have been deployed for tuberculosis (TB) testing using the Xpert MTB/RIF cartridge. Implementing quality indicators is necessary for monitoring and evaluating the quality of Xpert MTB/RIF diagnostic services.ObjectiveTo assess the use of quality indicators for the Xpert MTB/RIF molecular assay in Ethiopia and to compare the findings with the predefined targets described in the literature.MethodsClinical specimens collected from patients with suspected TB were… Show more

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Cited by 17 publications
(13 citation statements)
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“…First, the maintenance cost for the diagnostic machines was not included in this analysis. Excluding the cost of maintenance might significantly affect the total unit cost of the diagnostic methods [ 35 , 36 ]. Furthermore, although the information on the diagnosis accuracy of the techniques in TB-HIV co-infection cases would be relevant, because of the data limitation, TB-HIV co-infection was not included.…”
Section: Discussionmentioning
confidence: 99%
“…First, the maintenance cost for the diagnostic machines was not included in this analysis. Excluding the cost of maintenance might significantly affect the total unit cost of the diagnostic methods [ 35 , 36 ]. Furthermore, although the information on the diagnosis accuracy of the techniques in TB-HIV co-infection cases would be relevant, because of the data limitation, TB-HIV co-infection was not included.…”
Section: Discussionmentioning
confidence: 99%
“…Molecular methods, such as polymerase chain reaction (PCR), combine high sensitivity with high specificity. Even in resource-constrained settings, user-friendly PCR platforms are nowadays well-established for routine diagnosis and surveillance of tuberculosis [ 11 ] and HIV [ 12 ]. Although such molecular tools have the potential to be used for other neglected diseases like leishmaniasis as well [ 13 , 14 ], there is still a long way to go before implementation in routine care.…”
Section: Introductionmentioning
confidence: 99%
“…Other data collection tools included the 10-item Cohen Perceived Stress Scale [ 10 , 26 , 27 , 29 ], 14-item Shirom-Melamed Burnout measure [ 10 ], 7-item Insomnia Severity Index [ 12 , 26 , 28 , 30 ], 22-item Impact of Event Scale-Revised [ 12 , 28 ], 16-item Stanford Professional Fulfilment Index [ 12 , 28 ], Hospital Anxiety Depression Score [ 13 ], Coronavirus Anxiety Scale [ 17 ] and Primary Care PTSD Screen. [ 15 ] The differences in prevalence of anxiety and depression across studies even when using the same tools may be explained by different cutpoints, study populations (primarily doctors versus primarily nurses), settings (COVID-19 specialist services versus general medicine, obstetrics [ 31 ] and psychiatry [ 14 ]), health system capacity, data collection methods (online versus in-person interviewer or self-administered) and timing of the survey in relation to the global and national pandemic situation. Of note, while most studies used standardised data collection tools they were not necessarily validated for the context or the population.…”
Section: Discussionmentioning
confidence: 99%