Skip to main page content
U.S. flag

An official website of the United States government

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Feb;25 Suppl 1(Suppl Suppl 1):95-115.
doi: 10.1002/hec.3306. Epub 2016 Jan 19.

Incorporating Demand and Supply Constraints into Economic Evaluations in Low-Income and Middle-Income Countries

Affiliations

Incorporating Demand and Supply Constraints into Economic Evaluations in Low-Income and Middle-Income Countries

Anna Vassall et al. Health Econ. 2016 Feb.

Abstract

Global guidelines for new technologies are based on cost and efficacy data from a limited number of trial locations. Country-level decision makers need to consider whether cost-effectiveness analysis used to inform global guidelines are sufficient for their situation or whether to use models that adjust cost-effectiveness results taking into account setting-specific epidemiological and cost heterogeneity. However, demand and supply constraints will also impact cost-effectiveness by influencing the standard of care and the use and implementation of any new technology. These constraints may also vary substantially by setting. We present two case studies of economic evaluations of the introduction of new diagnostics for malaria and tuberculosis control. These case studies are used to analyse how the scope of economic evaluations of each technology expanded to account for and then address demand and supply constraints over time. We use these case studies to inform a conceptual framework that can be used to explore the characteristics of intervention complexity and the influence of demand and supply constraints. Finally, we describe a number of feasible steps that researchers who wish to apply our framework in cost-effectiveness analyses.

Keywords: demand; economic evaluation; health system; health technology assessment.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Conceptual framework for identifying the intervention and constraints in the context of the disease/illness/care pathway

Similar articles

Cited by

References

    1. Abimbola TO, Marston BJ, Date AA, Blandford JM, Sangrujee N, Wiktor SZ. 2012. Cost‐effectiveness of tuberculosis diagnostic strategies to reduce early mortality among persons with advanced HIV infection initiating antiretroviral therapy. J Acquir Immune Defic Syndr 60: e1–7. - PubMed
    1. Achonduh OA, Mbacham WF, Mangham‐Jefferies L, Cundill B, Chandler C, Pamen‐Ngako J, Lele AK, Ndong IC, Ndive SN, Ambebila JN, Orang‐Ojong BB, Metoh TN, Akindeh‐Nji M, Wiseman V. 2014. Designing and implementing interventions to change clinicians' practice in the management of uncomplicated malaria: lessons from Cameroon. Malar J 13: 204. - PMC - PubMed
    1. Andrews JR, Lawn SD, Rusu C, Wood R, Noubary F, Bender MA, Horsburgh CR, Losina E, Freedberg KA, Walensky RP. 2012. The cost‐effectiveness of routine tuberculosis screening with Xpert MTB/RIF prior to initiation of antiretroviral therapy: a model‐based analysis. AIDS 26: 987–995. DOI:10.1097/QAD.0b013e3283522d47. - DOI - PMC - PubMed
    1. Ansah EK, Epokor M, Whitty CJ, Yeung S, Hansen KS. 2013. Cost‐effectiveness analysis of introducing RDTs for malaria diagnosis as compared to microscopy and presumptive diagnosis in central and peripheral public health facilities in Ghana. Am J Trop Med Hyg 89: 724–36. - PMC - PubMed
    1. Atun R, De Jongh T, Secci F, Ohiri K, Adeyi O. 2010a. Integration of targeted health interventions into health systems: a conceptual framework for analysis. Health Policy Plan 25: 104–11. - PubMed

Publication types

LinkOut - more resources