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. 2018 Jan 23;8:1433. doi: 10.1038/s41598-018-19757-5

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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The most efficient active case finding (ACF) strategy in different settings. A summary of the most efficient ACF strategy based on (a,c,e) incremental net benefit of each strategies without treatment management and (b,d,f) maximum threshold resource requirements for enhanced case management for strategies in different population setting. Different ACF strategies were compared with current practice in different settings in which the prevalence of untreated active TB prior to intervention was varied, along with (a,b) the percentage of multi-drug/rifampicin resistant (MDR) TB among the untreated active TB cases, (c,d) the proportion of individuals lost to follow-up (LTFU) whilst awaiting GeneXpert results or (e,f) the homeless population size. Default parameter values in Supplementary Table S1, Supplementary Table S2 and Supplementary Table S3 were used. The “INB < 0” result indicates that no option had a positive INB with a QALY valued at £20,000. Panels (a,b) and (e,f) represent scenarios in which all individuals screened with GeneXpert wait for test results (no LTFU).