Evidence map›Paper›PMID 32201689›Full record

ArticleERJ open research2020

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

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.3field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Digital technologies and loss to follow-up for TB patients.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 4 countries.

Dan KibuuleSchool of Pharmacy, Faculty of Health Sciences, University of Namibia, Windhoek, Namibia.ORCID https://orcid.org/0000-0002-6908-2177
Philomein AiasesSchool of Pharmacy, Faculty of Health Sciences, University of Namibia, Windhoek, Namibia.
Nunurai RuswaNational Tuberculosis and Leprosy Programme, Ministry of Health and Social Services, Windhoek, Namibia.
Timothy William RennieSchool of Pharmacy, Faculty of Health Sciences, University of Namibia, Windhoek, Namibia.
Roger K VerbeeckSchool of Pharmacy, Faculty of Health Sciences, University of Namibia, Windhoek, Namibia.
Brian GodmanDivision of Clinical Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Mwangana MubitaSchool of Pharmacy, Faculty of Health Sciences, University of Namibia, Windhoek, Namibia.
University of Namibia · NAMinistry of Health and Social Services · NAUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsThe 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.

resultsOut 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.

conclusionsThere 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.

Identifiers

PMID32201689
PMCPMC7073418
OpenAlexW3011457068

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.