Determining the value of TB active case-finding: current evidence and methodological considerations

Sohn, H., Sweeney, S., Mudzengi, D., Creswell, J., Menzies, N. A., Fox, G. J., MacPherson, Peter ORCID: https://orcid.org/0000-0002-0329-9613 and Dowdy, D. W. (2021) 'Determining the value of TB active case-finding: current evidence and methodological considerations'. International Journal of Tuberculosis and Lung Disease, Vol 25, Issue 3, pp. 171-181.

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Abstract

Active case-finding (ACF) is an important component of the End TB Strategy. However, ACF is resource-intensive, and the economics of ACF are not well-understood. Data on the costs of ACF are limited, with little consistency in the units and methods used to estimate and report costs. Mathematical models to forecast the long-term effects of ACF require empirical measurements of the yield, timing and costs of case detection. Pragmatic trials offer an opportunity to assess the cost-effectiveness of ACF interventions within a 'real-world´ context. However, such analyses generally require early introduction of economic evaluations to enable prospective data collection on resource requirements. Closing the global case-detection gap will require substantial additional resources, including continued investment in innovative technologies. Research is essential to the optimal implementation, cost-effectiveness, and affordability of ACF in high-burden settings. To assess the value of ACF, we must prioritize the collection of high-quality data regarding costs and effectiveness, and link those data to analytical models that are adapted to local settings.

Item Type:	Article
Subjects:	W General Medicine. Health Professions > W 74 Medical economics. Health care costs WA Public Health > Health Administration and Organization > WA 590 Health education, Health communication WC Communicable Diseases > WC 20 Research (General) WF Respiratory System > Tuberculosis > WF 200 Tuberculosis (General)
Faculty: Department:	Clinical Sciences & International Health > Malawi-Liverpool-Wellcome Programme (MLW)
Digital Object Identifer (DOI):	https://doi.org/10.5588/ijtld.20.0565
Depositing User:	Stacy Murtagh
Date Deposited:	11 Mar 2021 11:57
Last Modified:	13 Jun 2023 12:27
URI:	https://archive.lstmed.ac.uk/id/eprint/17238

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