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Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities

Poor medication adherence may increase rates of loss to follow-up, disease relapse and drug resistance for individuals with active tuberculosis (TB). While TB programmes have historically used directly observed therapy (DOT) to address adherence, concerns have been raised about the patient burden, e...

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Autores principales: Subbaraman, Ramnath, de Mondesert, Laura, Musiimenta, Angella, Pai, Madhukar, Mayer, Kenneth H, Thomas, Beena E, Haberer, Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195152/
https://www.ncbi.nlm.nih.gov/pubmed/30364330
http://dx.doi.org/10.1136/bmjgh-2018-001018
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author Subbaraman, Ramnath
de Mondesert, Laura
Musiimenta, Angella
Pai, Madhukar
Mayer, Kenneth H
Thomas, Beena E
Haberer, Jessica
author_facet Subbaraman, Ramnath
de Mondesert, Laura
Musiimenta, Angella
Pai, Madhukar
Mayer, Kenneth H
Thomas, Beena E
Haberer, Jessica
author_sort Subbaraman, Ramnath
collection PubMed
description Poor medication adherence may increase rates of loss to follow-up, disease relapse and drug resistance for individuals with active tuberculosis (TB). While TB programmes have historically used directly observed therapy (DOT) to address adherence, concerns have been raised about the patient burden, ethical limitations, effectiveness in improving treatment outcomes and long-term feasibility of DOT for health systems. Digital adherence technologies (DATs)—which include feature phone–based and smartphone-based technologies, digital pillboxes and ingestible sensors—may facilitate more patient-centric approaches for monitoring adherence, though available data are limited. Depending on the specific technology, DATs may help to remind patients to take their medications, facilitate digital observation of pill-taking, compile dosing histories and triage patients based on their level of adherence, which can facilitate provision of individualised care by TB programmes to patients with varied levels of risk. Research is needed to understand whether DATs are acceptable to patients and healthcare providers, accurate for measuring adherence, effective in improving treatment outcomes and impactful in improving health system efficiency. In this article, we describe the landscape of DATs that are being used in research or clinical practice by TB programmes and highlight priorities for research.
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spelling pubmed-61951522018-10-24 Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities Subbaraman, Ramnath de Mondesert, Laura Musiimenta, Angella Pai, Madhukar Mayer, Kenneth H Thomas, Beena E Haberer, Jessica BMJ Glob Health Analysis Poor medication adherence may increase rates of loss to follow-up, disease relapse and drug resistance for individuals with active tuberculosis (TB). While TB programmes have historically used directly observed therapy (DOT) to address adherence, concerns have been raised about the patient burden, ethical limitations, effectiveness in improving treatment outcomes and long-term feasibility of DOT for health systems. Digital adherence technologies (DATs)—which include feature phone–based and smartphone-based technologies, digital pillboxes and ingestible sensors—may facilitate more patient-centric approaches for monitoring adherence, though available data are limited. Depending on the specific technology, DATs may help to remind patients to take their medications, facilitate digital observation of pill-taking, compile dosing histories and triage patients based on their level of adherence, which can facilitate provision of individualised care by TB programmes to patients with varied levels of risk. Research is needed to understand whether DATs are acceptable to patients and healthcare providers, accurate for measuring adherence, effective in improving treatment outcomes and impactful in improving health system efficiency. In this article, we describe the landscape of DATs that are being used in research or clinical practice by TB programmes and highlight priorities for research. BMJ Publishing Group 2018-10-11 /pmc/articles/PMC6195152/ /pubmed/30364330 http://dx.doi.org/10.1136/bmjgh-2018-001018 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: http://creativecommons.org/licenses/by/4.0
spellingShingle Analysis
Subbaraman, Ramnath
de Mondesert, Laura
Musiimenta, Angella
Pai, Madhukar
Mayer, Kenneth H
Thomas, Beena E
Haberer, Jessica
Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
title Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
title_full Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
title_fullStr Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
title_full_unstemmed Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
title_short Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
title_sort digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195152/
https://www.ncbi.nlm.nih.gov/pubmed/30364330
http://dx.doi.org/10.1136/bmjgh-2018-001018
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