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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

BACKGROUND: Tuberculosis 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...

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Autores principales: Foster, Nicola, Tadesse, Amare W., McQuaid, Christopher Finn, Gosce, Lara, Abdurhman, Tofik, Assefa, Demelash, Bedru, Ahmed, Houben, Rein M. G. J., van Kalmthout, Kristian, Letta, Taye, Mohammed, Zemedu, van Rest, Job, Umeta, Demekech G., Weldemichael, Gedion T., Yazew, Hiwot, Jerene, Degu, Quaife, Matthew, Fielding, Katherine L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123464/
https://www.ncbi.nlm.nih.gov/pubmed/37095533
http://dx.doi.org/10.1186/s13063-023-07289-x
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author Foster, Nicola
Tadesse, Amare W.
McQuaid, Christopher Finn
Gosce, Lara
Abdurhman, Tofik
Assefa, Demelash
Bedru, Ahmed
Houben, Rein M. G. J.
van Kalmthout, Kristian
Letta, Taye
Mohammed, Zemedu
van Rest, Job
Umeta, Demekech G.
Weldemichael, Gedion T.
Yazew, Hiwot
Jerene, Degu
Quaife, Matthew
Fielding, Katherine L.
author_facet Foster, Nicola
Tadesse, Amare W.
McQuaid, Christopher Finn
Gosce, Lara
Abdurhman, Tofik
Assefa, Demelash
Bedru, Ahmed
Houben, Rein M. G. J.
van Kalmthout, Kristian
Letta, Taye
Mohammed, Zemedu
van Rest, Job
Umeta, Demekech G.
Weldemichael, Gedion T.
Yazew, Hiwot
Jerene, Degu
Quaife, Matthew
Fielding, Katherine L.
author_sort Foster, Nicola
collection PubMed
description BACKGROUND: Tuberculosis 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 DESIGN: A 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 REGISTRATION: Pan African Clinical Trial Registry (PACTR) PACTR202008776694999. Registered on 11 August 2020, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07289-x.
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spelling pubmed-101234642023-04-25 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 Foster, Nicola Tadesse, Amare W. McQuaid, Christopher Finn Gosce, Lara Abdurhman, Tofik Assefa, Demelash Bedru, Ahmed Houben, Rein M. G. J. van Kalmthout, Kristian Letta, Taye Mohammed, Zemedu van Rest, Job Umeta, Demekech G. Weldemichael, Gedion T. Yazew, Hiwot Jerene, Degu Quaife, Matthew Fielding, Katherine L. Trials Study Protocol BACKGROUND: Tuberculosis 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 DESIGN: A 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 REGISTRATION: Pan African Clinical Trial Registry (PACTR) PACTR202008776694999. Registered on 11 August 2020, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07289-x. BioMed Central 2023-04-24 /pmc/articles/PMC10123464/ /pubmed/37095533 http://dx.doi.org/10.1186/s13063-023-07289-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Foster, Nicola
Tadesse, Amare W.
McQuaid, Christopher Finn
Gosce, Lara
Abdurhman, Tofik
Assefa, Demelash
Bedru, Ahmed
Houben, Rein M. G. J.
van Kalmthout, Kristian
Letta, Taye
Mohammed, Zemedu
van Rest, Job
Umeta, Demekech G.
Weldemichael, Gedion T.
Yazew, Hiwot
Jerene, Degu
Quaife, Matthew
Fielding, Katherine L.
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123464/
https://www.ncbi.nlm.nih.gov/pubmed/37095533
http://dx.doi.org/10.1186/s13063-023-07289-x
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