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

David W. Dowdy, R. Houben, T. Cohen, M. Pai, F. Cobelens, A. Vassall, N. A. Menzies, G. B. Gomez, I. Langley, S. B. Squire, R. White

Research output: Contribution to journalReview article

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1012-1018
Number of pages7
JournalInternational Journal of Tuberculosis and Lung Disease
Volume18
Issue number9
DOIs
StatePublished - Sep 1 2014

Keywords

  • Diagnostics
  • Modelling
  • Tuberculosis

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Infectious Diseases

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    Dowdy, D. W., Houben, R., Cohen, T., Pai, M., Cobelens, F., Vassall, A., Menzies, N. A., Gomez, G. B., Langley, I., Squire, S. B., & White, R. (2014). Impact and cost-effectiveness of current and future tuberculosis diagnostics: The contribution of modelling. International Journal of Tuberculosis and Lung Disease, 18(9), 1012-1018. https://doi.org/10.5588/ijtld.13.0851