Cargando…
Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria
SETTING: Nigeria adopted GeneXpert MTB Rif as a primary diagnostic tool were available and accessible since 2016. The current geographical coverage of GeneXpert machines by LGAs stands at 48%, with a varied access and utilization. OBJECTIVES: To assess the association between the type and level of h...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677003/ https://www.ncbi.nlm.nih.gov/pubmed/31413433 http://dx.doi.org/10.4103/nmj.NMJ_12_19 |
_version_ | 1783440866427273216 |
---|---|
author | Gidado, Mustapha Nwokoye, Nkiru Ogbudebe, Chidubem Nsa, Bassey Nwadike, Peter Ajiboye, Prisca Eneogu, Rupert Useni, Sani Elom, Emeka Lawanson, Adebola |
author_facet | Gidado, Mustapha Nwokoye, Nkiru Ogbudebe, Chidubem Nsa, Bassey Nwadike, Peter Ajiboye, Prisca Eneogu, Rupert Useni, Sani Elom, Emeka Lawanson, Adebola |
author_sort | Gidado, Mustapha |
collection | PubMed |
description | SETTING: Nigeria adopted GeneXpert MTB Rif as a primary diagnostic tool were available and accessible since 2016. The current geographical coverage of GeneXpert machines by LGAs stands at 48%, with a varied access and utilization. OBJECTIVES: To assess the association between the type and level of health facilities implementing GeneXpert MTB/Rif and performance outcome of the machines in Nigeria. STUDY DESIGN: Retrospective secondary data analysis of GeneXpert performance for 2017 from GXAlert database. The independent variables were type and levels of health care facilities, and dependent variables were GeneXpert performance (utilization, successful test, error rates, MTB detected, and Rifampicin resistance detected). RESULTS: Only 366 health care facilities are currently implementing and reporting GeneXpert performance, the distribution is 86.9% and 13.1% public and private health care facilities respectively, and only 6.3% of the facilities are primary health care. Of 354,321 test conducted in 2017, 91.5% were successful, and among unsuccessful test 6.8% were errors. The yield was 16.8% MTB detected (54,713) among which 6.8% had Rif resistance. The GeneXpert utilization rate was higher among private health care facilities (55.8%) compared to 33.3% among public health care facilities. There was a statistically significant difference in the number of successful test between public and private health facility-based machines as determined by one-way ANOVA (F(1,2) = 21.81, P = 0.02) and between primary, secondary and tertiary level health facility-based machines (F(1,2) = 41.24, P < 0.01). CONCLUSION: Nigeria with very low TB coverage should rapidly scale-up and decentralize GeneXpert services to the private sector. |
format | Online Article Text |
id | pubmed-6677003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-66770032019-08-14 Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria Gidado, Mustapha Nwokoye, Nkiru Ogbudebe, Chidubem Nsa, Bassey Nwadike, Peter Ajiboye, Prisca Eneogu, Rupert Useni, Sani Elom, Emeka Lawanson, Adebola Niger Med J Original Article SETTING: Nigeria adopted GeneXpert MTB Rif as a primary diagnostic tool were available and accessible since 2016. The current geographical coverage of GeneXpert machines by LGAs stands at 48%, with a varied access and utilization. OBJECTIVES: To assess the association between the type and level of health facilities implementing GeneXpert MTB/Rif and performance outcome of the machines in Nigeria. STUDY DESIGN: Retrospective secondary data analysis of GeneXpert performance for 2017 from GXAlert database. The independent variables were type and levels of health care facilities, and dependent variables were GeneXpert performance (utilization, successful test, error rates, MTB detected, and Rifampicin resistance detected). RESULTS: Only 366 health care facilities are currently implementing and reporting GeneXpert performance, the distribution is 86.9% and 13.1% public and private health care facilities respectively, and only 6.3% of the facilities are primary health care. Of 354,321 test conducted in 2017, 91.5% were successful, and among unsuccessful test 6.8% were errors. The yield was 16.8% MTB detected (54,713) among which 6.8% had Rif resistance. The GeneXpert utilization rate was higher among private health care facilities (55.8%) compared to 33.3% among public health care facilities. There was a statistically significant difference in the number of successful test between public and private health facility-based machines as determined by one-way ANOVA (F(1,2) = 21.81, P = 0.02) and between primary, secondary and tertiary level health facility-based machines (F(1,2) = 41.24, P < 0.01). CONCLUSION: Nigeria with very low TB coverage should rapidly scale-up and decentralize GeneXpert services to the private sector. Wolters Kluwer - Medknow 2019 /pmc/articles/PMC6677003/ /pubmed/31413433 http://dx.doi.org/10.4103/nmj.NMJ_12_19 Text en Copyright: © 2019 Nigerian Medical Journal http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Gidado, Mustapha Nwokoye, Nkiru Ogbudebe, Chidubem Nsa, Bassey Nwadike, Peter Ajiboye, Prisca Eneogu, Rupert Useni, Sani Elom, Emeka Lawanson, Adebola Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria |
title | Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria |
title_full | Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria |
title_fullStr | Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria |
title_full_unstemmed | Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria |
title_short | Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria |
title_sort | assessment of genexpert mtb/rif performance by type and level of health-care facilities in nigeria |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677003/ https://www.ncbi.nlm.nih.gov/pubmed/31413433 http://dx.doi.org/10.4103/nmj.NMJ_12_19 |
work_keys_str_mv | AT gidadomustapha assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT nwokoyenkiru assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT ogbudebechidubem assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT nsabassey assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT nwadikepeter assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT ajiboyeprisca assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT eneogurupert assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT usenisani assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT elomemeka assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria AT lawansonadebola assessmentofgenexpertmtbrifperformancebytypeandlevelofhealthcarefacilitiesinnigeria |