Cost of TB services: approach and summary findings of a multi-country study (Value TB)

• Published in: The international journal of tuberculosis and lung disease Vol. 26; no. 11; pp. 1006 - 1015
• Main Authors: Sweeney, S., Laurence, Y. V., Cunnama, L., Gomez, G. B., Garcia-Baena, I., Bhide, P., Capeding, T. J., Chatterjee, S., Chikovani, I., Eyob, H., Kairu, A., Terefe, M. M., Shengelia, N., Toshniwal, M., Saadi, N., Bergren, E., Vassall, A.
• Format: Journal Article
• Language: English
• Published: France International Union Against Tuberculosis and Lung Disease 01.11.2022; International Union against Tuberculosis and Lung Disease (IUATLD)
• Subjects: Cost estimates; Costing; Costs; Data collection; Ethiopia - epidemiology; Georgia (Republic) - epidemiology; Health Care Costs; Humans; India - epidemiology; Kenya - epidemiology; Local currencies; Methods; Philippines - epidemiology; Tuberculosis; Tuberculosis - economics; Tuberculosis - therapy; Uncertainty; Unit Cost; Georgia (Republic); Kenya; Philippines; Ethiopia; India
• ISSN: 1027-3719; 1815-7920; 1815-7920
• DOI: 10.5588/ijtld.22.0096

BACKGROUND: There are currently large gaps in unit cost data for TB, and substantial variation in the quality and methods of unit cost estimates. Uncertainties remain about sample size, range and comprehensiveness of cost data collection for different purposes. We present the methods and results of a project implemented in Kenya, Ethiopia, India, The Philippines and Georgia to estimate unit costs of TB services, focusing on findings most relevant to these remaining methodological challenges.METHODS: We estimated financial and economic unit costs, in close collaboration with national TB programmes. Gold standard methods included both top-down and bottom-up approaches to resource use measurement. Costs are presented in 2018 USD and local currency unit.RESULTS: Cost drivers of outputs varied by service and across countries, as did levels of capacity inefficiency. There was substantial variation in unit cost estimates for some interventions and high overhead costs were observed. Estimates were subject to sampling uncertainty, and some data gaps remain.CONCLUSION: This paper describes detailed methods for the largest TB costing effort to date, to inform prioritisation and planning for TB services. This study provides a strong baseline and some cost estimates may be extrapolated from this data; however, regular further studies of similar quality are needed to add estimates for remaining gaps, or to add new or changing services and interventions. Further research is needed on the best approach to extrapolation of cost data. Costing studies are best implemented as partnerships with policy makers to generate a community of mutual learning and capacity development.