Evidence map›Paper›PMID 40991618›Full record

ArticlePloS one2025

Acceptability of Digital Adherence Technologies to support people with drug-susceptible TB in South Africa.

Tanyaradzwa Nicolette Dube, Fezeka Mboniswa, Liza de Groot, Siyanda Khumalo, Noriah Maraba, Nontobeko Ndlovu, Nontobeko Mokone, Lebohang Masia, Katherine Fielding, Degu Jerene and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Tanyaradzwa Nicolette DubeThe Aurum Institute, Johannesburg South Africa.ORCID 0000-0003-3928-7574
Fezeka MboniswaThe Aurum Institute, Johannesburg South Africa.
Liza de GrootKNCV Tuberculosis Foundation, The Hague, Netherlands.ORCID 0000-0001-5011-0628
Siyanda KhumaloThe Aurum Institute, Johannesburg South Africa.
Noriah MarabaThe Aurum Institute, Johannesburg South Africa.
Nontobeko NdlovuThe Aurum Institute, Johannesburg South Africa.
Nontobeko MokoneThe Aurum Institute, Johannesburg South Africa.
Lebohang MasiaThe Aurum Institute, Johannesburg South Africa.
Katherine FieldingLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-6524-3754
Degu JereneKNCV Tuberculosis Foundation, The Hague, Netherlands.
Zewdneh ShewameneLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Bianca Gonçalves TascaKNCV Tuberculosis Foundation, The Hague, Netherlands.
Adrian LeungKNCV Tuberculosis Foundation, The Hague, Netherlands.
Salome CharalambousThe Aurum Institute, Johannesburg South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a challenge in South Africa, with an estimated 280,000 new cases reported in 2022. Digital Adherence Technologies (DATs) may be important tools to improve adherence to TB treatment. However, there is limited knowledge about facilitators and barriers to implementing these technologies in South Africa.

methodsThis qualitative study was embedded within the Adherence Support Coalition to End TB cluster-randomised trial which implemented the two technologies: a smart pillbox and/or a cell phone-based strategy similar to 99DOTS (labels), plus differentiated care, to support people with drug-sensitive TB (PWTB). In-depth interviews were conducted with purposively sampled participants comprising PWTB, Healthcare Workers (HCWs) and stakeholders. Inductive thematic analysis was used for data analysis, while the Unified Theory of Acceptance and Use of Technology (UTAUT) framework served as the overarching framework to synthesize and summarise the findings.

findingsSixty-eight interviews were conducted: 35 with PWTB and 33 with HCWs and stakeholders. Facilitating factors for the pillbox were alarm reminder, storage, ease of use, not requiring a phone, social support, and portability. Barriers to the pillbox were that some found the box unportable and others experienced box malfunctioning. Facilitating factors for the labels were ease of use among the young, daily confirmation messages, social support, privacy, and portability. Barriers to implementing these DATs were older age, illiteracy, forgetting to send the SMS, lacking understanding, no cell phone access, power cuts, and unresolvable technical glitches. While differentiated care improved the client-provider relationship, some PWTB felt home visits were stigmatising. HCWs and stakeholders expressed willingness to scale up DATs because they improved their working conditions, and it was advantageous for the PWTB.

conclusionsSmart pillbox and labels had features which favoured their acceptability and there were also DAT specific barriers. DATs may improve person-centredness in TB care. Future guidelines should consider acceptability, differing situations, and allowing flexibility to possibly increase uptake and utilisation of DATs.

Indexed as

Antitubercular AgentsDigital TechnologyMedication AdherenceTuberculosisAdultFemaleHealth PersonnelHumansMaleMiddle AgedQualitative ResearchReminder SystemsSouth AfricaAntitubercular Agents

Identifiers

PMID40991618
PMCPMC12459780

What OpenQuestion holds

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LicenceCC BY
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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.