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

  • Dan Kibuule
  • , Philomein Aiases
  • , Nunurai Ruswa
  • , Timothy William Rennie
  • , Roger K. Verbeeck
  • , Brian Godman
  • , Mwangana Mubita
  • University of Namibia
  • Ministry of Health and Social Services
  • Karolinska Institutet
  • University of Strathclyde
  • Sefako Makgatho Health Sciences University
  • University of Liverpool

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Article number00030-2019
JournalERJ Open Research
Volume6
Issue number1
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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