Evidence map›Paper›PMID 36868589›Full record

ArticleBMJ open2023

Qualitative study exploring the feasibility of using medication monitors and a differentiated care approach to support adherence among people receiving TB treatment in South Africa.

Rachel Mukora, Noriah Maraba, Catherine Orrell, Lauren Jennings, Pren Naidoo, M Thulani Mbatha, Kavindhran Velen, Katherine Fielding, Salome Charalambous, Candice Maylene Chetty-Makkan

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
7.9field-weighted citation impact, top 2% 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, 18 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Rachel MukoraThe Aurum Institute, Implementation Research Division, Johannesburg, South Africa rmukora@auruminstitute.org.ORCID 0000-0003-4304-1729
Noriah MarabaThe Aurum Institute, Implementation Research Division, Johannesburg, South Africa.ORCID 0000-0002-3974-5961
Catherine OrrellDesmond Tutu HIV Foundation, Institute of Infectious Disease and Molecular Medicine and the Department of Medicine, University of Cape Town, Cape Town, South Africa.
Lauren JenningsDesmond Tutu HIV Foundation, Institute of Infectious Disease and Molecular Medicine and the Department of Medicine, University of Cape Town, Cape Town, South Africa.
Pren NaidooUniversity of Stellenbosch, Stellenbosch, South Africa.
M Thulani MbathaInteractive Research and Development, Johannesburg, South Africa.
Kavindhran VelenThe Aurum Institute, Implementation Research Division, Johannesburg, South Africa.ORCID 0000-0001-8577-3915
Katherine FieldingLondon School of Hygiene & Tropical Medicine, TB Centre, London, UK.ORCID 0000-0002-6524-3754
Salome CharalambousThe Aurum Institute, Implementation Research Division, Johannesburg, South Africa.
Candice Maylene Chetty-MakkanHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-9292-9586
University of the Witwatersrand · ZAAurum Institute · ZADesmond Tutu HIV Foundation · ZAInteractive Research and Development · PKLondon School of Hygiene & Tropical Medicine · GBStellenbosch University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe tuberculosis (TB) MATE study evaluated whether a differentiated care approach (DCA) based on tablet-taking data from Wisepill evriMED digital adherence technology could improve TB treatment adherence. The DCA entailed a stepwise increase in adherence support starting from short message service (SMS) to phone calls, followed by home visits and motivational counselling. We explored feasibility of this approach with providers in implementing clinics.

designBetween June 2020 and February 2021, in-depth interviews were conducted in the provider's preferred language, audiorecorded, transcribed verbatim and translated. The interview guide included three categories: feasibility, system-level challenges and sustainability of the intervention. We assessed saturation and used thematic analysis.

settingPrimary healthcare clinics in three provinces of South Africa.

participantsWe conducted 25 interviews with 18 staff and 7 stakeholders.

resultsThree major themes emerged: First, providers were supportive of the intervention being integrated into the TB programme and were eager to be trained on the device as it helped to monitor treatment adherence. Second, there were challenges in the adoption system such as shortage of human resources which could serve as a barrier to information provision once the intervention is scaled up. Healthcare workers reported that some patients received incorrect SMS's due to delays in the system that contributed to distrust. Third, DCA was considered as a key aspect of the intervention by some staff and stakeholders since it allowed for support based on individual needs.

conclusionsIt was feasible to monitor TB treatment adherence using the evriMED device and DCA. To ensure successful scale-up of the adherence support system, emphasis will need to be placed on ensuring that the device and the network operate optimally and continued support on adhering to treatment which will enable people with TB to take ownership of their treatment journey and help overcome TB-related stigma. TRIAL REGISTRATION NUMBER: Pan African Trial Registry PACTR201902681157721.

Indexed as

Drug MonitoringTuberculosisFeasibility StudiesHealth PersonnelHumansMedication AdherenceSouth AfricaHealth policyOrganisation of health servicesPublic healthRationingTuberculosis

Identifiers

PMID36868589
PMCPMC9990642
OpenAlexW4323066940

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.