{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T07:15:18Z","timestamp":1791357318785,"version":"4.3.1"},"reference-count":53,"publisher":"European Respiratory Society (ERS)","issue":"5","funder":[{"name":"European Respiratory Society through World Health Organization Global TB Programme"}],"content-domain":{"domain":["publications.ersnet.org"],"crossmark-restriction":true},"short-container-title":["Eur Respir J"],"accepted":{"date-parts":[[2018,8,19]]},"published-print":{"date-parts":[[2018,11]]},"abstract":"<jats:p>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.<\/jats:p><jats:p>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.<\/jats:p><jats:p>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.<\/jats:p>","DOI":"10.1183\/13993003.01363-2018","type":"journal-article","created":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T13:07:23Z","timestamp":1535634443000},"page":"1801363","update-policy":"https:\/\/doi.org\/10.1183\/ers-crossmark-policy","source":"Crossref","is-referenced-by-count":46,"title":["Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support"],"prefix":"10.1183","volume":"52","author":[{"given":"Ntwali Placide","family":"Nsengiyumva","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Mappin-Kasirer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olivia","family":"Oxlade","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mayara","family":"Bastos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anete","family":"Trajman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis","family":"Falzon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Schwartzman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"81","published-online":{"date-parts":[[2018,8,30]]},"reference":[{"key":"2024102100363006000_52.5.1801363.1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1405427"},{"key":"2024102100363006000_52.5.1801363.2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002152"},{"key":"2024102100363006000_52.5.1801363.3","unstructured":"Stop TB Partnership, United Nations Office for Project Services. 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