Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies—An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries

Worldwide, non-adherence to tuberculosis (TB) treatment is problematic. Digital adherence technologies (DATs) offer a person-centered approach to support and monitor treatment. We explored adherence over time while using DATs. We conducted a meta-analysis on anonymized longitudinal adherence data fo...

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Detalles Bibliográficos
Autores principales: de Groot, Liza M., Straetemans, Masja, Maraba, Noriah, Jennings, Lauren, Gler, Maria Tarcela, Marcelo, Danaida, Mekoro, Mirchaye, Steenkamp, Pieter, Gavioli, Riccardo, Spaulding, Anne, Prophete, Edwin, Bury, Margarette, Banu, Sayera, Sultana, Sonia, Onjare, Baraka, Efo, Egwuma, Alacapa, Jason, Levy, Jens, Morales, Mona Lisa L., Katamba, Achilles, Bogdanov, Aleksey, Gamazina, Kateryna, Kumarkul, Dzhumagulova, Ekaterina, Orechova-Li, Cattamanchi, Adithya, Khan, Amera, Bakker, Mirjam I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145978/
https://www.ncbi.nlm.nih.gov/pubmed/35622692
http://dx.doi.org/10.3390/tropicalmed7050065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145978/
https://www.ncbi.nlm.nih.gov/pubmed/35622692
http://dx.doi.org/10.3390/tropicalmed7050065

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