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Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study

BACKGROUND: 99DOTS is a cellphone-based digital adherence technology. The state of Himachal Pradesh, India, made 99DOTS available to all adults being treated for drug-sensitive tuberculosis (TB) in the public sector in May 2018. While 99DOTS has engaged over 500,000 people across India, few studies...

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Autores principales: Chen, Amy Z., Kumar, Ravinder, Baria, R. K., Shridhar, Pramod Kumar, Subbaraman, Ramnath, Thies, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391893/
https://www.ncbi.nlm.nih.gov/pubmed/37525114
http://dx.doi.org/10.1186/s12879-023-08418-2
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author Chen, Amy Z.
Kumar, Ravinder
Baria, R. K.
Shridhar, Pramod Kumar
Subbaraman, Ramnath
Thies, William
author_facet Chen, Amy Z.
Kumar, Ravinder
Baria, R. K.
Shridhar, Pramod Kumar
Subbaraman, Ramnath
Thies, William
author_sort Chen, Amy Z.
collection PubMed
description BACKGROUND: 99DOTS is a cellphone-based digital adherence technology. The state of Himachal Pradesh, India, made 99DOTS available to all adults being treated for drug-sensitive tuberculosis (TB) in the public sector in May 2018. While 99DOTS has engaged over 500,000 people across India, few studies have evaluated its effectiveness in improving TB treatment outcomes. METHODS: We compared treatment outcomes of adults with drug-sensitive TB before and after Himachal Pradesh’s 99DOTS launch using data from India’s national TB database. The pre-intervention group initiated treatment between February and October 2017 (N = 7722), and the post-intervention group between July 2018 and March 2019 (N = 8322). We analyzed engagement with 99DOTS and used multivariable logistic regression to estimate impact on favorable treatment outcomes (those marked as cured or treatment complete). RESULTS: In the post-intervention group, 2746 (33.0%) people called 99DOTS at least once. Those who called did so with a wide variation in frequency (< 25% of treatment days: 24.6% of callers; 25–50% of days: 15.1% of callers, 50–75% of days: 15.7% of callers; 75–100% of days: 44.6% of callers). In the pre-intervention group, 7186 (93.1%) had favorable treatment outcomes, compared to 7734 (92.9%) in the post-intervention group. This difference was not statistically significant (OR = 0.981, 95% CI [0.869, 1.108], p = 0.758), including after controlling for individual characteristics (adjusted OR = 0.970, 95% CI [0.854, 1.102]). CONCLUSIONS: We found no statistically significant difference in treatment outcomes before and after a large-scale implementation of 99DOTS. Additional work could help to elucidate factors mediating site-wise variations in uptake of the intervention.
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spelling pubmed-103918932023-08-02 Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study Chen, Amy Z. Kumar, Ravinder Baria, R. K. Shridhar, Pramod Kumar Subbaraman, Ramnath Thies, William BMC Infect Dis Research BACKGROUND: 99DOTS is a cellphone-based digital adherence technology. The state of Himachal Pradesh, India, made 99DOTS available to all adults being treated for drug-sensitive tuberculosis (TB) in the public sector in May 2018. While 99DOTS has engaged over 500,000 people across India, few studies have evaluated its effectiveness in improving TB treatment outcomes. METHODS: We compared treatment outcomes of adults with drug-sensitive TB before and after Himachal Pradesh’s 99DOTS launch using data from India’s national TB database. The pre-intervention group initiated treatment between February and October 2017 (N = 7722), and the post-intervention group between July 2018 and March 2019 (N = 8322). We analyzed engagement with 99DOTS and used multivariable logistic regression to estimate impact on favorable treatment outcomes (those marked as cured or treatment complete). RESULTS: In the post-intervention group, 2746 (33.0%) people called 99DOTS at least once. Those who called did so with a wide variation in frequency (< 25% of treatment days: 24.6% of callers; 25–50% of days: 15.1% of callers, 50–75% of days: 15.7% of callers; 75–100% of days: 44.6% of callers). In the pre-intervention group, 7186 (93.1%) had favorable treatment outcomes, compared to 7734 (92.9%) in the post-intervention group. This difference was not statistically significant (OR = 0.981, 95% CI [0.869, 1.108], p = 0.758), including after controlling for individual characteristics (adjusted OR = 0.970, 95% CI [0.854, 1.102]). CONCLUSIONS: We found no statistically significant difference in treatment outcomes before and after a large-scale implementation of 99DOTS. Additional work could help to elucidate factors mediating site-wise variations in uptake of the intervention. BioMed Central 2023-07-31 /pmc/articles/PMC10391893/ /pubmed/37525114 http://dx.doi.org/10.1186/s12879-023-08418-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Research
Chen, Amy Z.
Kumar, Ravinder
Baria, R. K.
Shridhar, Pramod Kumar
Subbaraman, Ramnath
Thies, William
Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study
title Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study
title_full Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study
title_fullStr Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study
title_full_unstemmed Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study
title_short Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study
title_sort impact of the 99dots digital adherence technology on tuberculosis treatment outcomes in north india: a pre-post study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391893/
https://www.ncbi.nlm.nih.gov/pubmed/37525114
http://dx.doi.org/10.1186/s12879-023-08418-2
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