Evidence map›Paper›PMID 36593894›Full record

ArticleIJID regions2023

Evaluating determinants of treatment outcomes among tuberculosis patients in the mining district of Butha Buthe, Lesotho.

Veranyuy D Ngah, Motlatsi Rangoanana, Isaac Fwemba, Llang Maama, Sele Maphalale, Mabatho Molete, Retselisitsoe Ratikoane, Modupe Ogunrombi, Justine Daramola, Peter S Nyasulu

Abstract read
In one paragraph

Article in IJID regions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Veranyuy D NgahDivision of Epidemiology and Biostatistics, Faculty of Medicine, and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Motlatsi RangoananaDivision of Epidemiology and Biostatistics, Faculty of Medicine, and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Isaac FwembaDivision of Epidemiology and Biostatistics, Faculty of Medicine, and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Llang MaamaDisease Control Directorate, National Tuberculosis Program, Ministry of Health Lesotho.
Sele MaphalaleDistrict Health Management team Butha Buthe, Ministry of Health Lesotho National Tuberculosis Program, Ministry of Health Lesotho.
Mabatho MoleteDistrict Health Management team Butha Buthe, Ministry of Health Lesotho National Tuberculosis Program, Ministry of Health Lesotho.
Retselisitsoe RatikoaneDistrict Health Management team Butha Buthe, Ministry of Health Lesotho National Tuberculosis Program, Ministry of Health Lesotho.
Modupe OgunrombiDepartment of Clinical Pharmacology, Sefako Makgatho Health Sciences University, Pretoria South Africa.
Justine DaramolaDepartment of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology.
Peter S NyasuluDivision of Epidemiology and Biostatistics, Faculty of Medicine, and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Before the COVID-19 pandemic, tuberculosis (TB) was the leading infectious cause of death globally. In low- and middle-income countries (LMIC) including Lesotho, treatment outcome is lower than the recommended rate and poor TB treatment outcomes remain a programmatic challenge. The aim of this study was to determine unfavourable treatment outcomes and associated risk factors among TB patients in Butha Buthe district. Methods: This was a retrospective record review of TB patients registered between January 2015 and December 2020. Data were collected from TB registers and patients' files and entered Microsoft Excel 2012. Analysis was conducted using R and INLA statistical software. Descriptive statistics were presented as frequencies and percentages. The differences between groups were compared using Pearson's Results: A total of 1792 TB patients were enrolled in the study with about 70% males (1,257). Majority (71.7%) of the patients were between 20 and 59 years old, with 48% of the patients being unemployed. Almost a quarter of the patients (23.1%) had unfavourable outcomes with death (342 patients) being the most common unfavourable outcome. Our study has shown that patients older than 59 years, and unemployment increased the risk of having unfavourable treatment outcomes. Death was the most common unfavourable outcome followed by lost-to-follow up. We also observed that the patients in the initiation phase of treatment died at a faster rate compared to those in the continuation phase (p=0.02). Conclusion: TB treatment programs should have efficient follow-up methods geared more toward elderly patients. Active case finding to identify population at risk should be part of a TB program which would improve early diagnosis and treatment initiation. Patients in the intensive phase of the treatment program should be monitored more closely to determine adverse drug effects and nutritional requirement to prevent death during this phase of treatment.

Indexed as

FavourableTreatmentTuberculosisUnfavourable outcomes

Identifiers

PMID36593894
PMCPMC9797408

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.