Evidence map›Paper›PMID 41774734›Full record

ArticlePloS one2026

Designing and evaluating the acceptability of a psychosocial and socioeconomic support package for people with drug-resistant tuberculosis in Johannesburg, South Africa.

Ndiviwe Mphothulo, Marian Loveday

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ndiviwe MphothuloSchool of Public Health and Nursing, University of KwaZulu Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-1540-6033
Marian LovedayHIV and other Infectious Diseases Research Unit (HIDRU), South African Medical Research Council, CAPRISA-MRC HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-resistant tuberculosis (DR-TB) is a global health problem that presents multifaceted challenges to people living with the disease. These challenges lead to sub-optimal adherence in some DR-TB patients who are then not cured of their TB. Besides the challenges associated with taking treatment, many patients with DR-TB also have to contend with psychosocial and socioeconomic challenges. The objective of this study was to develop a psychosocial and socioeconomic intervention for people with DR-TB in Johannesburg, South Africa, and evaluate if they find it acceptable. Guided by the Behaviour Change Wheel (BCW) and Perceptions and Practicalities Approach (PaPA) frameworks, and utilising a participatory research approach, We developed a support package with input from a qualitative needs assessment with DR-TB patients (n = 16) and family members (n = 8) and input from various stakeholders (n = 18), (health managers, clinicians and officials from social security departments). The support package was then evaluated for acceptability by patients who had successfully completed DR-TB treatment (n = 13) and their families (n = 6), using an exploratory qualitative method. Both successfully treated DR-TB patients and their family members found the intervention to be acceptable and believed it will reduce the barriers to retention in care that they faced during their treatment journey.

Indexed as

Social SupportTuberculosis, Multidrug-ResistantAdherence InterventionsAdultAntitubercular AgentsFemaleHumansMaleMiddle AgedSocioeconomic FactorsSouth AfricaAntitubercular Agents

Identifiers

PMID41774734
PMCPMC12956097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.