Cargando…

Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey

BACKGROUND: Globally, 40% of all tuberculosis (TB) cases, 65% paediatric cases and 75% multi-drug resistant TB (MDR-TB) cases are missed due to underreporting and/or under diagnosis. A recent Kenyan TB prevalence survey found that a significant number of TB cases are being missed here. Understanding...

Descripción completa

Detalles Bibliográficos
Autores principales: Oliwa, J. N., Maina, J., Ayieko, P., Gathara, D., Kathure, I. A., Masini, E., van’t Hoog, A. H., van Hensbroek, M. B., English, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048895/
https://www.ncbi.nlm.nih.gov/pubmed/30012092
http://dx.doi.org/10.1186/s12879-018-3237-z
_version_ 1783340185700794368
author Oliwa, J. N.
Maina, J.
Ayieko, P.
Gathara, D.
Kathure, I. A.
Masini, E.
van’t Hoog, A. H.
van Hensbroek, M. B.
English, M.
author_facet Oliwa, J. N.
Maina, J.
Ayieko, P.
Gathara, D.
Kathure, I. A.
Masini, E.
van’t Hoog, A. H.
van Hensbroek, M. B.
English, M.
author_sort Oliwa, J. N.
collection PubMed
description BACKGROUND: Globally, 40% of all tuberculosis (TB) cases, 65% paediatric cases and 75% multi-drug resistant TB (MDR-TB) cases are missed due to underreporting and/or under diagnosis. A recent Kenyan TB prevalence survey found that a significant number of TB cases are being missed here. Understanding spatial distribution and patterns of use of TB diagnostic tests as per the guidelines could potentially help improve TB case detection by identifying diagnostic gaps. METHODS: We used 2015 Kenya National TB programme data to map TB case notification rates (CNR) in different counties, linked with their capacity to perform diagnostic tests (chest x-rays, smear microscopy, Xpert MTB/RIF®, culture and line probe assay). We then ran hierarchical regression models for adults and children to specifically establish determinants of use of Xpert® (as per Kenyan guidelines) with county and facility as random effects. RESULTS: In 2015, 82,313 TB cases were notified and 7.8% were children. The median CNR/100,000 amongst 0-14yr olds was 37.2 (IQR 20.6, 41.0) and 267.4 (IQR 202.6, 338.1) for ≥15yr olds respectively. 4.8% of child TB cases and 12.2% of adult TB cases had an Xpert® test done, with gaps in guideline adherence. There were 2,072 microscopy sites (mean microscopy density 4.46/100,000); 129 Xpert® sites (mean 0.31/100,000); two TB culture laboratories and 304 chest X-ray facilities (mean 0.74/100,000) with variability in spatial distribution across the 47 counties. Retreatment cases (i.e. failures, relapses/recurrences, defaulters) had the highest odds of getting an Xpert® test compared to new/transfer-in patients (AOR 7.81, 95% CI 7.33-8.33). Children had reduced odds of getting an Xpert® (AOR 0.41, CI 0.36-0.47). HIV-positive individuals had nearly twice the odds of getting an Xpert® test (AOR 1.82, CI 1.73-1.92). Private sector and higher-level hospitals had a tendency towards lower odds of use of Xpert®. CONCLUSIONS: We noted under-use and gaps in guideline adherence for Xpert® especially in children. The under-use despite considerable investment undermines cost-effectiveness of Xpert®. Further research is needed to develop strategies enhancing use of diagnostics, including innovations to improve access (e.g. specimen referral) and overcoming local barriers to adoption of guidelines and technologies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3237-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6048895
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60488952018-07-19 Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey Oliwa, J. N. Maina, J. Ayieko, P. Gathara, D. Kathure, I. A. Masini, E. van’t Hoog, A. H. van Hensbroek, M. B. English, M. BMC Infect Dis Research Article BACKGROUND: Globally, 40% of all tuberculosis (TB) cases, 65% paediatric cases and 75% multi-drug resistant TB (MDR-TB) cases are missed due to underreporting and/or under diagnosis. A recent Kenyan TB prevalence survey found that a significant number of TB cases are being missed here. Understanding spatial distribution and patterns of use of TB diagnostic tests as per the guidelines could potentially help improve TB case detection by identifying diagnostic gaps. METHODS: We used 2015 Kenya National TB programme data to map TB case notification rates (CNR) in different counties, linked with their capacity to perform diagnostic tests (chest x-rays, smear microscopy, Xpert MTB/RIF®, culture and line probe assay). We then ran hierarchical regression models for adults and children to specifically establish determinants of use of Xpert® (as per Kenyan guidelines) with county and facility as random effects. RESULTS: In 2015, 82,313 TB cases were notified and 7.8% were children. The median CNR/100,000 amongst 0-14yr olds was 37.2 (IQR 20.6, 41.0) and 267.4 (IQR 202.6, 338.1) for ≥15yr olds respectively. 4.8% of child TB cases and 12.2% of adult TB cases had an Xpert® test done, with gaps in guideline adherence. There were 2,072 microscopy sites (mean microscopy density 4.46/100,000); 129 Xpert® sites (mean 0.31/100,000); two TB culture laboratories and 304 chest X-ray facilities (mean 0.74/100,000) with variability in spatial distribution across the 47 counties. Retreatment cases (i.e. failures, relapses/recurrences, defaulters) had the highest odds of getting an Xpert® test compared to new/transfer-in patients (AOR 7.81, 95% CI 7.33-8.33). Children had reduced odds of getting an Xpert® (AOR 0.41, CI 0.36-0.47). HIV-positive individuals had nearly twice the odds of getting an Xpert® test (AOR 1.82, CI 1.73-1.92). Private sector and higher-level hospitals had a tendency towards lower odds of use of Xpert®. CONCLUSIONS: We noted under-use and gaps in guideline adherence for Xpert® especially in children. The under-use despite considerable investment undermines cost-effectiveness of Xpert®. Further research is needed to develop strategies enhancing use of diagnostics, including innovations to improve access (e.g. specimen referral) and overcoming local barriers to adoption of guidelines and technologies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3237-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-16 /pmc/articles/PMC6048895/ /pubmed/30012092 http://dx.doi.org/10.1186/s12879-018-3237-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Oliwa, J. N.
Maina, J.
Ayieko, P.
Gathara, D.
Kathure, I. A.
Masini, E.
van’t Hoog, A. H.
van Hensbroek, M. B.
English, M.
Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey
title Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey
title_full Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey
title_fullStr Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey
title_full_unstemmed Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey
title_short Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey
title_sort variability in distribution and use of tuberculosis diagnostic tests in kenya: a cross-sectional survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048895/
https://www.ncbi.nlm.nih.gov/pubmed/30012092
http://dx.doi.org/10.1186/s12879-018-3237-z
work_keys_str_mv AT oliwajn variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT mainaj variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT ayiekop variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT gatharad variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT kathureia variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT masinie variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT vanthoogah variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT vanhensbroekmb variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey
AT englishm variabilityindistributionanduseoftuberculosisdiagnostictestsinkenyaacrosssectionalsurvey