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Impact and cost-effectiveness of current and future tuberculosis diagnostics: the contribution of modelling

Dowdy, D W, Houben, R, Cohen, T, Pai, M, Cobelens, F, Vassall, A, Menzies, N A, Gomez, G B, Langley, Ivor ORCID:, Squire, Bertie ORCID: and White, R (2014) 'Impact and cost-effectiveness of current and future tuberculosis diagnostics: the contribution of modelling'. International Journal of Tuberculosis and Lung Disease, Vol 18, Issue 9, pp. 1012-1018.

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The landscape of diagnostic testing for tuberculosis (TB) is changing rapidly, and stakeholders need urgent guidance on how to develop, deploy and optimize TB diagnostics in a way that maximizes impact and makes best use of available resources. When decisions must be made with only incomplete or preliminary data available, modelling is a useful tool for providing such guidance. Following a meeting of modelers and other key stakeholders organized by the TB Modelling and Analysis Consortium, we propose a conceptual framework for positioning models of TB diagnostics. We use that framework to describe modelling priorities in four key areas: Xpert(®) MTB/RIF scale-up, target product profiles for novel assays, drug susceptibility testing to support new drug regimens, and the improvement of future TB diagnostic models. If we are to maximize the impact and cost-effectiveness of TB diagnostics, these modelling priorities should figure prominently as targets for future research.

Item Type: Article
Subjects: WF Respiratory System > WF 20 Research (General)
WF Respiratory System > Tuberculosis > WF 200 Tuberculosis (General)
WF Respiratory System > Tuberculosis > WF 220 Diagnosis. Prognosis
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI):
Depositing User: Helen Rigby
Date Deposited: 09 Oct 2014 17:31
Last Modified: 13 Nov 2019 11:22


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