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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

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. M...

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Autores principales: Muyoyeta, Monde, Moyo, Maureen, Kasese, Nkatya, Ndhlovu, Mapopa, Milimo, Deborah, Mwanza, Winfridah, Kapata, Nathan, Schaap, Albertus, Godfrey Faussett, Peter, Ayles, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451006/
https://www.ncbi.nlm.nih.gov/pubmed/26030301
http://dx.doi.org/10.1371/journal.pone.0126376
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author Muyoyeta, Monde
Moyo, Maureen
Kasese, Nkatya
Ndhlovu, Mapopa
Milimo, Deborah
Mwanza, Winfridah
Kapata, Nathan
Schaap, Albertus
Godfrey Faussett, Peter
Ayles, Helen
author_facet Muyoyeta, Monde
Moyo, Maureen
Kasese, Nkatya
Ndhlovu, Mapopa
Milimo, Deborah
Mwanza, Winfridah
Kapata, Nathan
Schaap, Albertus
Godfrey Faussett, Peter
Ayles, Helen
author_sort Muyoyeta, Monde
collection PubMed
description 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<0.0001) respectively. CONCLUSION: Use of Xpert in a resource-limited setting at primary care level in conjunction with pre-screening tests reduced the number of Xpert tests performed. The routine use of Xpert resulted in additional cases of confirmed TB patients starting treatment. However, there was no increase in absolute numbers of patients starting TB treatment. Same day diagnosis and treatment commencement was achieved for both bacteriologically confirmed and empirically diagnosed patients where Xpert was used in conjunction with CXR.
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spelling pubmed-44510062015-06-09 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 Muyoyeta, Monde Moyo, Maureen Kasese, Nkatya Ndhlovu, Mapopa Milimo, Deborah Mwanza, Winfridah Kapata, Nathan Schaap, Albertus Godfrey Faussett, Peter Ayles, Helen PLoS One Research Article 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<0.0001) respectively. CONCLUSION: Use of Xpert in a resource-limited setting at primary care level in conjunction with pre-screening tests reduced the number of Xpert tests performed. The routine use of Xpert resulted in additional cases of confirmed TB patients starting treatment. However, there was no increase in absolute numbers of patients starting TB treatment. Same day diagnosis and treatment commencement was achieved for both bacteriologically confirmed and empirically diagnosed patients where Xpert was used in conjunction with CXR. Public Library of Science 2015-06-01 /pmc/articles/PMC4451006/ /pubmed/26030301 http://dx.doi.org/10.1371/journal.pone.0126376 Text en © 2015 Muyoyeta et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Muyoyeta, Monde
Moyo, Maureen
Kasese, Nkatya
Ndhlovu, Mapopa
Milimo, Deborah
Mwanza, Winfridah
Kapata, Nathan
Schaap, Albertus
Godfrey Faussett, Peter
Ayles, Helen
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451006/
https://www.ncbi.nlm.nih.gov/pubmed/26030301
http://dx.doi.org/10.1371/journal.pone.0126376
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