Evidence map›Paper›PMID 34758737›Full record

ArticleBMC infectious diseases2021

Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study protocol for a cluster randomised trial.

Amare W Tadesse, Zemedu Mohammed, Nicola Foster, Matthew Quaife, Christopher Finn McQuaid, Jens Levy, Kristian van Kalmthout, Job van Rest, Degu Jerene, Tofik Abdurhman and 7 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 34 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

17 authors at 4 institutions in 4 countries.

Amare W TadesseTB Centre, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK. amare.tadesse@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-7805-3191
Zemedu MohammedKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Nicola FosterTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Matthew QuaifeTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Christopher Finn McQuaidTB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Jens LevyKNCV Tuberculosis Foundation, The Hague, the Netherlands.
Kristian van KalmthoutKNCV Tuberculosis Foundation, The Hague, the Netherlands.
Job van RestKNCV Tuberculosis Foundation, The Hague, the Netherlands.
Degu JereneKNCV Tuberculosis Foundation, The Hague, the Netherlands.
Tofik AbdurhmanKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Hiwot YazewKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Demekech G UmetaKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Demelash AssefaKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Gedion T WeldemichaelKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Ahmed BedruKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Taye LettaNational Tuberculosis Control Program, Ethiopian Ministry of Health, Addis Ababa, Ethiopia.
Katherine L FieldingTB Centre, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
London School of Hygiene & Tropical Medicine · GBTuBerculosis Vaccine Initiative · NLGovernment of Ethiopia · ETUniversity of the Witwatersrand · ZA

Funding

Medical Research Council MR/R010161/1UNITAID 2019-33-ASCENT
6 · The paper itself

Abstract

backgroundDigital adherence technologies (DATs) are recommended to support patient-centred, differentiated care to improve tuberculosis (TB) treatment outcomes, but evidence that such technologies improve adherence is limited. We aim to implement and evaluate the effectiveness of smart pillboxes and medication labels linked to an adherence data platform, to create a differentiated care response to patient adherence and improve TB care among adult pulmonary TB participants. Our study is part of the Adherence Support Coalition to End TB (ASCENT) project in Ethiopia. METHODS/

designWe will conduct a pragmatic three-arm cluster-randomised trial with 78 health facilities in two regions in Ethiopia. Facilities are randomised (1:1:1) to either of the two intervention arms or standard of care. Adults aged ≥ 18 years with drug-sensitive (DS) pulmonary TB are enrolled over 12 months and followed-up for 12 months after treatment initiation. Participants in facilities randomised to either of the two intervention arms are offered a DAT linked to the web-based ASCENT adherence platform for daily adherence monitoring and differentiated response to patient adherence for those who have missed doses. Participants at standard of care facilities receive routine care. For those that had bacteriologically confirmed TB at treatment initiation and can produce sputum without induction, sputum culture will be performed approximately 6 months after the end of treatment to measure disease recurrence. The primary endpoint is a composite unfavourable outcome measured over 12 months from TB treatment initiation defined as either poor end of treatment outcome (lost to follow-up, death, or treatment failure) or treatment recurrence measured 6 months after the scheduled end of treatment. This study will also evaluate the effectiveness, feasibility, and cost-effectiveness of DAT systems for DS-TB patients. DISCUSSION: This trial will evaluate the impact and contextual factors of medication label and smart pillbox with a differentiated response to patient care, among adult pulmonary DS-TB participants in Ethiopia. If successful, this evaluation will generate valuable evidence via a shared evaluation framework for optimal use and scale-up.

trial registrationPan African Clinical Trials Registry PACTR202008776694999, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241 , registered on August 11, 2020.

Indexed as

Antitubercular AgentsTuberculosisAdultEthiopiaHumansMedication AdherencePragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicTechnologyTreatment Adherence and ComplianceTreatment OutcomeAntitubercular AgentsCluster randomisedEthiopiaMedication labelPragmaticSmart pillboxTrialTuberculosis

Identifiers

PMID34758737
PMCPMC8579414
OpenAlexW3211611236

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.