Modelling the potential impact of adherence technologies on tuberculosis in India

肺结核 业务 环境卫生 医学 病理
作者
Nimalan Arinaminpathy,Daniel P. Chin,K.S. Sachdeva,Raghuram Rao,Kiran Rade,Sreenivas Achuthan Nair,Puneet Dewan
出处
期刊:International Journal of Tuberculosis and Lung Disease [International Union Against Tuberculosis and Lung Disease]
卷期号:24 (5): 526-533 被引量:13
标识
DOI:10.5588/ijtld.19.0472
摘要

BACKGROUND: For patients taking standard first-line tuberculosis treatment, missing 10% or more of their doses increases the risk of relapse six-fold. Digital technologies offer new approaches to adherence support for TB patients. We estimated the potential impact of new adherence technologies in India.METHOD: We developed a mathematical model of TB transmission dynamics in India, capturing the independent effects of missed doses and treatment default on post-treatment recurrence. We simulated the impact of interventions to address both missed doses and treatment default in the public and private healthcare sector.RESULTS: Adherence interventions, if deployed optimally in the public sector alone, would reduce cumulative TB incidence by 7.3% (95% credible intervals [CrI] 4.7-11) between 2020 and 2030, and by 16% (95% CrI 11-23) if also deployed in the private sector. This impact is roughly proportional to the effectiveness of the interventions. Reducing missed doses reduced incidence by 12% (95% CrI 7.0-18), while reducing treatment default reduced incidence by 7.9% (95% CrI 3.2-13).CONCLUSION: Minimising missed doses is at least as important as promoting treatment completion. Our results suggest that emerging technologies to improve treatment adherence could have a substantial impact on TB incidence and mortality in India.
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