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. 2008 Jan;23(1):24-35.
doi: 10.1093/heapol/czm041. Epub 2007 Nov 17.

Cost and cost-effectiveness of nationwide school-based helminth control in Uganda: intra-country variation and effects of scaling-up

Simon Brooker  1 , Narcis B Kabatereine, Fiona Fleming, Nancy Devlin
Affiliations

Cost and cost-effectiveness of nationwide school-based helminth control in Uganda: intra-country variation and effects of scaling-up

Simon Brooker et al. Health Policy Plan. 2008 Jan.

Abstract

Estimates of cost and cost-effectiveness are typically based on a limited number of small-scale studies with no investigation of the existence of economies to scale or intra-country variation in cost and cost-effectiveness. This information gap hinders the efficient allocation of health care resources and the ability to generalize estimates to other settings. The current study investigates the intra-country variation in the cost and cost-effectiveness of nationwide school-based treatment of helminth (worm) infection in Uganda. Programme cost data were collected through semi-structured interviews with district officials and from accounting records in six of the 23 intervention districts. Both financial and economic costs were assessed. Costs were estimated on the basis of cost in US$ per schoolchild treated, and an incremental cost-effectiveness ratio (cost in US$ per case of anaemia averted) was used to evaluate programme cost-effectiveness. Sensitivity analysis was performed to assess the effect of discount rate and drug price. The overall economic cost per child treated in the six districts was US$0.54 and the cost-effectiveness was US$3.19 per case of anaemia averted. Analysis indicated that estimates of both cost and cost-effectiveness differ markedly with the total number of children who received treatment, indicating economies of scale. There was also substantial variation between districts in the cost per individual treated (US$0.41-0.91) and cost per anaemia case averted (US$1.70-9.51). Independent variables were shown to be statistically associated with both sets of estimates. This study highlights the potential bias in transferring data across settings without understanding the nature of observed variations.

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Figures

Figure 1
Figure 1
Map of Uganda showing districts selected for cost analysis.
Figure 2
Figure 2
(a) The relationship between output (number of children treated) and average costs (cost per child treated) and (b) the relationship between output (number of children treated) and delivery cost per child treated in six districts in Uganda, 2003-2005.
Figure 3
Figure 3
(a) The relationship between economic cost per child treated and cost-effectiveness (cost per anaemia case averted); (b) the relationship between effectiveness (proportion of anaemia cases averted) and cost-effectiveness (cost per anaemia case averted); and (c) the relationship between total number of schoolchildren treated in each district over the period 2003-2005 and cost-effectiveness (cost per anaemia case averted) in six districts in Uganda.
Figure 3
Figure 3
(a) The relationship between economic cost per child treated and cost-effectiveness (cost per anaemia case averted); (b) the relationship between effectiveness (proportion of anaemia cases averted) and cost-effectiveness (cost per anaemia case averted); and (c) the relationship between total number of schoolchildren treated in each district over the period 2003-2005 and cost-effectiveness (cost per anaemia case averted) in six districts in Uganda.
See this image and copyright information in PMC

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