Evidence map›Paper›PMID 37095533›Full record

ArticleTrials2023

Evaluating the equity impact and cost-effectiveness of digital adherence technologies with differentiated care to support tuberculosis treatment adherence in Ethiopia: protocol and analysis plan for the health economics component of a cluster randomised trial.

Nicola Foster, Amare W Tadesse, Christopher Finn McQuaid, Lara Gosce, Tofik Abdurhman, Demelash Assefa, Ahmed Bedru, Rein M G J Houben, Kristian van Kalmthout, Taye Letta and 8 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 7 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

18 authors at 4 institutions in 4 countries.

Nicola FosterDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. nicola.foster@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-4630-6243
Amare W TadesseDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Christopher Finn McQuaidDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Lara GosceDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Tofik AbdurhmanKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Demelash AssefaKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Ahmed BedruKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Rein M G J HoubenDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Kristian van KalmthoutKNCV Tuberculosis Foundation, The Hague, The Netherlands.
Taye LettaNational Tuberculosis Control Program, Ethiopian Ministry of Health, Addis Ababa, Ethiopia.
Zemedu MohammedKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Job van RestKNCV Tuberculosis Foundation, The Hague, The Netherlands.
Demekech G UmetaKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Gedion T WeldemichaelKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Hiwot YazewKNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.
Degu JereneKNCV Tuberculosis Foundation, The Hague, The Netherlands.
Matthew QuaifeDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Katherine L FieldingDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBTuBerculosis Vaccine Initiative · NLGovernment of Ethiopia · ETUniversity of the Witwatersrand · ZA

Funding

Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundTuberculosis remains a leading infectious cause of death in resource-limited settings. Effective treatment is the cornerstone of tuberculosis control, reducing mortality, recurrence and transmission. Supporting treatment adherence through facility-based observations of medication taking can be costly to providers and patients. Digital adherence technologies (DATs) may facilitate treatment monitoring and differentiated care. The ASCENT-Ethiopia study is a three-arm cluster randomised trial assessing two DATs with differentiated care for supporting tuberculosis treatment adherence in Ethiopia. This study is part of the ASCENT consortium, assessing DATs in South Africa, the Philippines, Ukraine, Tanzania and Ethiopia. The aim of this study is to determine the costs, cost-effectiveness and equity impact of implementing DATs in Ethiopia. METHODS AND

designA total of 78 health facilities have been randomised (1:1:1) into one of two intervention arms or a standard-of-care arm. Approximately 50 participants from each health facility will be enrolled on the trial. Participants in facilities randomised to the intervention arms are offered a DAT linked to the ASCENT adherence platform for daily adherence monitoring and differentiated response for those who have missed doses. Participants at standard-of-care facilities receive routine care. Treatment outcomes and resource utilisation will be measured for each participant. The primary effectiveness outcome is a composite index of unfavourable end-of-treatment outcomes (lost to follow-up, death or treatment failure) or treatment recurrence within 6 months of end-of-treatment. For the cost-effectiveness analysis, end-of-treatment outcomes will be used to estimate disability-adjusted life years (DALYs) averted. Provider and patient cost data will be collected from a subsample of 5 health facilities per study arm, 10 participants per facility (n = 150). We will conduct a societal cost-effectiveness analysis using Bayesian hierarchical models that account for the individual-level correlation between costs and outcomes as well as intra-cluster correlation. An equity impact analysis will be conducted to summarise equity efficiency trade-offs. DISCUSSION: Trial enrolment is ongoing. This paper follows the published trial protocol and describes the protocol and analysis plan for the health economics work package of the ASCENT-Ethiopia trial. This analysis will generate economic evidence to inform the implementation of DATs in Ethiopia and globally.

trial registrationPan African Clinical Trial Registry (PACTR) PACTR202008776694999. Registered on 11 August 2020,  https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241 .

Indexed as

TuberculosisBayes TheoremCost-Benefit AnalysisEthiopiaHumansRandomized Controlled Trials as TopicTreatment Adherence and ComplianceDigital adherence technologyEquityEthiopiaTreatment adherenceTuberculosis

Identifiers

PMID37095533
PMCPMC10123464
OpenAlexW4366827056

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.