title: Beyond accuracy: creating a comprehensive evidence base for TB diagnostic tools.
abstract: The need for a strong and comprehensive evidence base to support decision making with regard to the implementation of new and improved diagnostic tools and approaches has been highlighted by a number of stakeholders; these include members of the New Diagnostics Working Group (NDWG) and the Subgroup for Introducing New Approaches and Tools of the Stop TB Partnership. To compile such evidence in a systematic manner, we have developed an impact assessment framework (IAF) which links evidence on inputs to outcomes. The IAF comprises five interconnected layers: effectiveness analysis, equity analysis, health systems analysis, scale-up analysis and policy analysis. It can be used by new diagnostics developers and other interested research teams to collect as much policy-relevant data as possible prior to, during and after the demonstration phase of tool development. The evidence collated may be used by international and national policy makers to support adoption, implementation and scale-up decisions. The TREAT TB (Technology, Research, Education and Technical Assistance for TB) initiative uses the IAF in its operational research and field evaluations of new tools and approaches for TB diagnosis. It has also been incorporated into the NDWG's recent publication: 'Pathways to better diagnostics for tuberculosis: a blueprint for the development of TB diagnostics'. This article describes the IAF and the process of improving it and suggests next steps in overcoming the challenges in its implementation.
authors.affiliation: Liverpool School of Tropical Medicine, Liverpool, UK. ghmann@liv.ac.uk
authors.forename: G
authors.initials: G
authors.lastname: Mann
authors.forename: S B
authors.initials: SB
authors.lastname: Squire
authors.forename: K
authors.initials: K
authors.lastname: Bissell
authors.forename: P
authors.initials: P
authors.lastname: Eliseev
authors.forename: E
authors.initials: E
authors.lastname: Du Toit
authors.forename: A
authors.initials: A
authors.lastname: Hesseling
authors.forename: M
authors.initials: M
authors.lastname: Nicol
authors.forename: A
authors.initials: A
authors.lastname: Detjen
authors.forename: A
authors.initials: A
authors.lastname: Kritski
mesh_terms: D003657:Decision Making; D019317:Evidence-Based Medicine; D006291:Health Policy; D006801:Humans; D011050:Policy Making; D012107:Research Design; D014376:Tuberculosis / Q000175:diagnosis*