Cargando…

Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support

Ensuring adherence and support during treatment of tuberculosis (TB) is a major public health challenge. Digital health technologies could help improve treatment outcomes. We considered their potential cost and impact on treatment for active or latent TB in Brazil. Decision analysis models simulated...

Descripción completa

Detalles Bibliográficos
Autores principales: Nsengiyumva, Ntwali Placide, Mappin-Kasirer, Benjamin, Oxlade, Olivia, Bastos, Mayara, Trajman, Anete, Falzon, Dennis, Schwartzman, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214576/
https://www.ncbi.nlm.nih.gov/pubmed/30166325
http://dx.doi.org/10.1183/13993003.01363-2018
_version_ 1783367997403955200
author Nsengiyumva, Ntwali Placide
Mappin-Kasirer, Benjamin
Oxlade, Olivia
Bastos, Mayara
Trajman, Anete
Falzon, Dennis
Schwartzman, Kevin
author_facet Nsengiyumva, Ntwali Placide
Mappin-Kasirer, Benjamin
Oxlade, Olivia
Bastos, Mayara
Trajman, Anete
Falzon, Dennis
Schwartzman, Kevin
author_sort Nsengiyumva, Ntwali Placide
collection PubMed
description Ensuring adherence and support during treatment of tuberculosis (TB) is a major public health challenge. Digital health technologies could help improve treatment outcomes. We considered their potential cost and impact on treatment for active or latent TB in Brazil. Decision analysis models simulated two adult cohorts with 1) drug-susceptible active TB, and 2) multidrug-resistant TB, and two cohorts treated with isoniazid for latent TB infection (LTBI): 1) close contacts of persons with active TB, and 2) others newly diagnosed with LTBI. We evaluated four digital support strategies: two different medication monitors, synchronous video-observed therapy (VOT), and two-way short message service (SMS). Comparators were standard directly observed treatment for active TB and self-administered treatment for LTBI. Projected outcomes included costs (2016 US dollars), plus active TB cases and disability-adjusted life years averted among persons with LTBI. For individuals with active TB, medication monitors and VOT are projected to lead to substantial (up to 58%) cost savings, in addition to alleviating inconvenience and cost to patients of supervised treatment visits. For LTBI treatment, SMS and medication monitors are projected to be the most cost-effective interventions. However, all projections are limited by the scarcity of published estimates of clinical effect for the digital technologies.
format Online
Article
Text
id pubmed-6214576
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher European Respiratory Society
record_format MEDLINE/PubMed
spelling pubmed-62145762018-11-06 Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support Nsengiyumva, Ntwali Placide Mappin-Kasirer, Benjamin Oxlade, Olivia Bastos, Mayara Trajman, Anete Falzon, Dennis Schwartzman, Kevin Eur Respir J Perspective Ensuring adherence and support during treatment of tuberculosis (TB) is a major public health challenge. Digital health technologies could help improve treatment outcomes. We considered their potential cost and impact on treatment for active or latent TB in Brazil. Decision analysis models simulated two adult cohorts with 1) drug-susceptible active TB, and 2) multidrug-resistant TB, and two cohorts treated with isoniazid for latent TB infection (LTBI): 1) close contacts of persons with active TB, and 2) others newly diagnosed with LTBI. We evaluated four digital support strategies: two different medication monitors, synchronous video-observed therapy (VOT), and two-way short message service (SMS). Comparators were standard directly observed treatment for active TB and self-administered treatment for LTBI. Projected outcomes included costs (2016 US dollars), plus active TB cases and disability-adjusted life years averted among persons with LTBI. For individuals with active TB, medication monitors and VOT are projected to lead to substantial (up to 58%) cost savings, in addition to alleviating inconvenience and cost to patients of supervised treatment visits. For LTBI treatment, SMS and medication monitors are projected to be the most cost-effective interventions. However, all projections are limited by the scarcity of published estimates of clinical effect for the digital technologies. European Respiratory Society 2018-11-01 /pmc/articles/PMC6214576/ /pubmed/30166325 http://dx.doi.org/10.1183/13993003.01363-2018 Text en Copyright ©ERS 2018. http://creativecommons.org/licenses/by-nc/4.0/ This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.
spellingShingle Perspective
Nsengiyumva, Ntwali Placide
Mappin-Kasirer, Benjamin
Oxlade, Olivia
Bastos, Mayara
Trajman, Anete
Falzon, Dennis
Schwartzman, Kevin
Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
title Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
title_full Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
title_fullStr Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
title_full_unstemmed Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
title_short Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
title_sort evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214576/
https://www.ncbi.nlm.nih.gov/pubmed/30166325
http://dx.doi.org/10.1183/13993003.01363-2018
work_keys_str_mv AT nsengiyumvantwaliplacide evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport
AT mappinkasirerbenjamin evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport
AT oxladeolivia evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport
AT bastosmayara evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport
AT trajmananete evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport
AT falzondennis evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport
AT schwartzmankevin evaluatingthepotentialcostsandimpactofdigitalhealthtechnologiesfortuberculosistreatmentsupport