Evidence map›Paper›PMID 39028696›Full record

ArticlePLOS global public health2024

Treatment preferences among people at risk of developing tuberculosis: A discrete choice experiment.

Wala Kamchedzera, Matthew Quaife, Wezi Msukwa-Panje, Rachael M Burke, Liana Macpherson, Moses Kumwenda, Hussein H Twabi, Matteo Quartagno, Peter MacPherson, Hanif Esmail

Abstract read
In one paragraph

Article in PLOS global public health, 2024. 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. Patient preferences for empiric TB treatment initiation.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    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.

Wala KamchedzeraPublic Health Research Group, Malawi-Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-6709-4270
Matthew QuaifeFaculty of Epidemiology and Population Health, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, England, United Kingdom.ORCID https://orcid.org/0000-0001-9291-1511
Wezi Msukwa-PanjePublic Health Research Group, Malawi-Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Rachael M BurkeFaculty of Infectious and Tropical Disease, Clinical Research Department, London School of Hygiene and Tropical Medicine, London, England, United Kingdom.
Liana MacphersonMRC Clinical Trials Unit at University College London, London, England, United Kingdom.ORCID https://orcid.org/0000-0001-6025-0878
Moses KumwendaPublic Health Research Group, Malawi-Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.ORCID https://orcid.org/0000-0003-3091-7330
Hussein H TwabiPublic Health Research Group, Malawi-Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Matteo QuartagnoMRC Clinical Trials Unit at University College London, London, England, United Kingdom.ORCID https://orcid.org/0000-0003-4446-0730
Peter MacPhersonPublic Health Research Group, Malawi-Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Hanif EsmailMRC Clinical Trials Unit at University College London, London, England, United Kingdom.ORCID https://orcid.org/0000-0002-4278-9316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosing and treating people with bacteriologically-negative but radiologically-apparent tuberculosis (TB) may contribute to more effective TB care and reduce transmission. However, optimal treatment approaches for this group are unknown. It is important to understand peoples' preferences of treatment options for effective programmatic implementation of people-centred treatment approaches. We designed and implemented a discrete choice experiment (DCE) to solicit treatment preferences among adults (≥18 years) with TB symptoms attending a primary health clinic in Blantyre, Malawi. Treatment attributes included in the DCE were as follows: duration of treatment; number of tablets per dose; reduction in the risk of being unwell with TB disease; likelihood of infecting others; adverse effects from the treatment; frequency of follow up; and the annual travel cost to access care. Quantitative choice modelling with multinomial logit models estimated through frequentist and Bayesian approaches investigated preferences for the management of bacteriologically-negative, but radiographically-apparent TB. 128 participants were recruited (57% male, 43.8% HIV-positive, 8.6% previously treated for TB). Participants preferred to take any treatment compared to not taking treatment (odds ratio [OR] 5.78; 95% confidence interval [CI]: 2.40, 13.90). Treatments that reduced the relative risk of developing TB disease by 80% were preferred (OR: 2.97; 95% CI: 2.09, 4.21) compared to treatments that lead to a lower reduction in risk of 50%. However, there was no evidence for treatments that are 95% effective being preferred over those that are 80% effective. Participants strongly favoured the treatments that could completely stop transmission (OR: 7.87, 95% CI: 5.71, 10.84), and prioritised avoiding side effects (OR: 0.19, 95% CI: 0.12, 0.29). There was no evidence of an interaction between perceived TB disease risk and treatment preferences. In summary, participants were primarily concerned with the effectiveness of TB treatments and strongly preferred treatments that removed the risk of onward transmission. Person-centred approaches of preferences for treatment should be considered when designing new treatment strategies. Understanding treatment preferences will ensure that any recommended treatment for probable early TB disease is well accepted and utilized by the public.

Identifiers

PMID39028696
PMCPMC11259259

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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.