Implementation Research to Inform the Use of Xpert MTB/RIF in Primary Health Care Facilities in High TB and HIV Settings in Resource Constrained Settings

Monde Muyoyeta, Maureen Moyo, Nkatya Kasese, Mapopa Ndhlovu, Deborah Milimo, Winfridah Mwanza, Nathan Kapata, Albertus Schaap, Peter Godfrey Faussett and Helen Ayles

PLOS ONE, 2015, vol. 10, issue 6, 1-18

Abstract: Background: The current cost of Xpert MTB RIF (Xpert) consumables is such that algorithms are needed to select which patients to prioritise for testing with Xpert. Objective: To evaluate two algorithms for prioritisation of Xpert in primary health care settings in a high TB and HIV burden setting. Method: Consecutive, presumptive TB patients with a cough of any duration were offered either Xpert or Fluorescence microscopy (FM) test depending on their CXR score or HIV status. In one facility, sputa from patients with an abnormal CXR were tested with Xpert and those with a normal CXR were tested with FM (“CXR algorithm”). CXR was scored automatically using a Computer Aided Diagnosis (CAD) program. In the other facility, patients who were HIV positive were tested using Xpert and those who were HIV negative were tested with FM (“HIV algorithm”). Results: Of 9482 individuals pre-screened with CXR, Xpert detected TB in 2090/6568 (31.8%) with an abnormal CXR, and FM was AFB positive in 8/2455 (0.3%) with a normal CXR. Of 4444 pre-screened with HIV, Xpert detected TB in 508/2265 (22.4%) HIV positive and FM was AFB positive in 212/1920 (11.0%) in HIV negative individuals. The notification rate of new bacteriologically confirmed TB increased; from 366 to 620/ 100,000/yr and from 145 to 261/100,000/yr at the CXR and HIV algorithm sites respectively. The median time to starting TB treatment at the CXR site compared to the HIV algorithm site was; 1(IQR 1-3 days) and 3 (2-5 days) (p

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0126376

DOI: 10.1371/journal.pone.0126376

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