Cargando…

Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia

BACKGROUND: In Namibia, one out of every 25 cases of tuberculosis (TB) is “lost to follow-up” (LTFU). This has impacted negatively on national efforts to end the disease by 2035. The aim of this study was to determine the trends and predictors of LTFU under the directly observed treatment short-cour...

Descripción completa

Detalles Bibliográficos
Autores principales: Kibuule, Dan, Aiases, Philomein, Ruswa, Nunurai, Rennie, Timothy William, Verbeeck, Roger K., Godman, Brian, Mubita, Mwangana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7073418/
https://www.ncbi.nlm.nih.gov/pubmed/32201689
http://dx.doi.org/10.1183/23120541.00030-2019
_version_ 1783506615314415616
author Kibuule, Dan
Aiases, Philomein
Ruswa, Nunurai
Rennie, Timothy William
Verbeeck, Roger K.
Godman, Brian
Mubita, Mwangana
author_facet Kibuule, Dan
Aiases, Philomein
Ruswa, Nunurai
Rennie, Timothy William
Verbeeck, Roger K.
Godman, Brian
Mubita, Mwangana
author_sort Kibuule, Dan
collection PubMed
description BACKGROUND: In Namibia, one out of every 25 cases of tuberculosis (TB) is “lost to follow-up” (LTFU). This has impacted negatively on national efforts to end the disease by 2035. The aim of this study was to determine the trends and predictors of LTFU under the directly observed treatment short-course (DOTS) programme in Namibia. METHODS: The study involved a retrospective longitudinal analysis of a nationwide cohort of TB cases registered under the DOTS programme in Namibia from 2006 to 2015. The trends and predictors of LTFU among cases in the National Electronic TB Register of the National TB and Leprosy Program were respectively determined by interrupted time series and multivariate logistic regression analyses using R-Studio software. RESULTS: Out of 104 203 TB cases, 3775 (3.6%) were LTFU. A quarter (26%) of cases with poor outcomes were due to LTFU. The annual decline in cases of LTFU was significant between the first (2005–2010) and second (2010–2015) medium-term plan period for TB programme implementation (p=0.002). The independent predictors of LTFU were male sex (p=0.004), 15–24 years age group (p=0.03), provider of treatment (p<0.001), intensive phase (p=0.047) and living in border/transit regions (p<0.001). HIV co-infection and TB regimen were not significant predictors of LTFU. CONCLUSIONS: There were declining trends in LTFU in Namibia. DOTS programmes should integrate socioeconomic interventions for young and middle-aged adult male TB cases to reduce LTFU.
format Online
Article
Text
id pubmed-7073418
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher European Respiratory Society
record_format MEDLINE/PubMed
spelling pubmed-70734182020-03-20 Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia Kibuule, Dan Aiases, Philomein Ruswa, Nunurai Rennie, Timothy William Verbeeck, Roger K. Godman, Brian Mubita, Mwangana ERJ Open Res Original Articles BACKGROUND: In Namibia, one out of every 25 cases of tuberculosis (TB) is “lost to follow-up” (LTFU). This has impacted negatively on national efforts to end the disease by 2035. The aim of this study was to determine the trends and predictors of LTFU under the directly observed treatment short-course (DOTS) programme in Namibia. METHODS: The study involved a retrospective longitudinal analysis of a nationwide cohort of TB cases registered under the DOTS programme in Namibia from 2006 to 2015. The trends and predictors of LTFU among cases in the National Electronic TB Register of the National TB and Leprosy Program were respectively determined by interrupted time series and multivariate logistic regression analyses using R-Studio software. RESULTS: Out of 104 203 TB cases, 3775 (3.6%) were LTFU. A quarter (26%) of cases with poor outcomes were due to LTFU. The annual decline in cases of LTFU was significant between the first (2005–2010) and second (2010–2015) medium-term plan period for TB programme implementation (p=0.002). The independent predictors of LTFU were male sex (p=0.004), 15–24 years age group (p=0.03), provider of treatment (p<0.001), intensive phase (p=0.047) and living in border/transit regions (p<0.001). HIV co-infection and TB regimen were not significant predictors of LTFU. CONCLUSIONS: There were declining trends in LTFU in Namibia. DOTS programmes should integrate socioeconomic interventions for young and middle-aged adult male TB cases to reduce LTFU. European Respiratory Society 2020-03-16 /pmc/articles/PMC7073418/ /pubmed/32201689 http://dx.doi.org/10.1183/23120541.00030-2019 Text en Copyright ©ERS 2020 http://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.
spellingShingle Original Articles
Kibuule, Dan
Aiases, Philomein
Ruswa, Nunurai
Rennie, Timothy William
Verbeeck, Roger K.
Godman, Brian
Mubita, Mwangana
Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
title Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
title_full Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
title_fullStr Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
title_full_unstemmed Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
title_short Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
title_sort predictors of loss to follow-up of tuberculosis cases under the dots programme in namibia
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7073418/
https://www.ncbi.nlm.nih.gov/pubmed/32201689
http://dx.doi.org/10.1183/23120541.00030-2019
work_keys_str_mv AT kibuuledan predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia
AT aiasesphilomein predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia
AT ruswanunurai predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia
AT rennietimothywilliam predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia
AT verbeeckrogerk predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia
AT godmanbrian predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia
AT mubitamwangana predictorsoflosstofollowupoftuberculosiscasesunderthedotsprogrammeinnamibia