Evidence map›Paper›PMID 37582066›Full record

ArticlePLOS digital health2023

Acceptability and feasibility of digital adherence technologies for drug-susceptible tuberculosis treatment supervision: A meta-analysis of implementation feedback.

Kevin Guzman, Rebecca Crowder, Anna Leddy, Noriah Maraba, Lauren Jennings, Shahriar Ahmed, Sonia Sultana, Baraka Onjare, Lucas Shilugu, Jason Alacapa and 7 more

Abstract read
In one paragraph

Article in PLOS digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

17 authors.

Kevin GuzmanUniversity of California, San Francisco, United States of America.
Rebecca CrowderUniversity of California, San Francisco, United States of America.
Anna LeddyUniversity of California, San Francisco, United States of America.
Noriah MarabaThe Aurum Institute, Johannesburg, South Africa.
Lauren JenningsDesmond Tutu Health Foundation, Cape Town, South Africa.
Shahriar Ahmedicddr,b, Dhaka, Bangladesh.
Sonia Sultanaicddr,b, Dhaka, Bangladesh.
Baraka OnjareKNCV, The Hague, The Netherlands.
Lucas ShiluguKNCV, The Hague, The Netherlands.
Jason AlacapaKNCV, The Hague, The Netherlands.
Jens LevyKNCV, The Hague, The Netherlands.
Achilles KatambaMakerere University, Kampala, Uganda.
Alex KityamuwesiMakerere University, Kampala, Uganda.
Aleksey BogdanovPATH, Kiev, Ukraine.
Kateryna GamazinaPATH, Kiev, Ukraine.
Adithya CattamanchiUniversity of California, San Francisco, United States of America.ORCID https://orcid.org/0000-0002-6553-2601
Amera KhanStop TB Partnership/TB REACH, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-4052-2028

Funding

TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

Digital adherence technologies (DATs) have emerged as an alternative to directly observed therapy (DOT) for supervisions of tuberculosis (TB) treatment. We conducted a meta-analysis of implementation feedback obtained from people with TB and health care workers (HCWs) involved in TB REACH Wave 6-funded DAT evaluation projects. Projects administered standardized post-implementation surveys based on the Capability, Opportunity, Motivation, Behavior (COM-B) model to people with TB and their health care workers. The surveys included questions on demographics and technology use, Likert scale questions to assess capability, opportunity, and motivation to use DAT and open-ended feedback. We summarized demographic and technology use data descriptively, generated pooled estimates of responses to Likert scale questions within each COM-B category for people with TB and health care workers using random effects models, and performed qualitative analysis of open-ended feedback using a modified framework analysis approach. The analysis included surveys administered to 1290 people with TB and 90 HCWs across 6 TB REACH-funded projects. People with TB and HCWs had an overall positive impression of DATs with pooled estimates between 4·0 to 4·8 out of 5 across COM-B categories. However, 44% of people with TB reported taking TB medications without reporting dosing via DATs and 23% reported missing a dose of medication. Common reasons included problems with electricity, network coverage, and technical issues with the DAT platform. DATs were overall perceived to reduce visits to clinics, decrease cost, increase social support, and decrease workload of HCWs. DATs were acceptable in a wide variety of settings. However, there were challenges related to the feasibility of using current DAT platforms. Implementation efforts should concentrate on ensuring access, anticipating, and addressing technical challenges, and minimizing additional cost to people with TB.

Identifiers

PMID37582066
PMCPMC10426983

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.