Lubell, Y, Mills, A, Whitty, C and Staedke, S. 2010. An Economic Evaluation of Home Management of Malaria in Uganda: An Interactive Markov Model. [Online]. Figshare. Available from: https://doi.org/10.1371/journal.pone.0012439.s001
Lubell, Y, Mills, A, Whitty, C and Staedke, S. An Economic Evaluation of Home Management of Malaria in Uganda: An Interactive Markov Model. [Internet] LSHTM Data Compass. Figshare; 2010. Available from: https://doi.org/10.1371/journal.pone.0012439.s001
Lubell, Y, Mills, A, Whitty, C and Staedke, S (2010). An Economic Evaluation of Home Management of Malaria in Uganda: An Interactive Markov Model. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0012439.s001
Description
Background: Home management of malaria (HMM), promoting presumptive treatment of febrile children in the community, is advocated to improve prompt appropriate treatment of malaria in Africa. The cost-effectiveness of HMM is likely to vary widely in different settings and with the antimalarial drugs used. However, no data on the cost-effectiveness of HMM programmes are available.
Methods/Principal Findings: A Markov model was constructed to estimate the cost-effectiveness of HMM as compared to conventional care for febrile illnesses in children without HMM. The model was populated with data from Uganda, but is designed to be interactive, allowing the user to adjust certain parameters, including the antimalarials distributed. The model calculates the cost per disability adjusted life year averted and presents the incremental cost-effectiveness ratio compared to a threshold value. Model output is stratified by level of malaria transmission and the probability that a child would receive appropriate care from a health facility, to indicate the circumstances in which HMM is likely to be cost-effective. The model output suggests that the cost-effectiveness of HMM varies with malaria transmission, the probability of appropriate care, and the drug distributed. Where transmission is high and the probability of appropriate care is limited, HMM is likely to be cost-effective from a provider perspective. Even with the most effective antimalarials, HMM remains an attractive intervention only in areas of high malaria transmission and in medium transmission areas with a lower probability of appropriate care. HMM is generally not cost-effective in low transmission areas, regardless of which antimalarial is distributed. Considering the analysis from the societal perspective decreases the attractiveness of HMM.
Conclusion: Syndromic HMM for children with fever may be a useful strategy for higher transmission settings with limited health care and diagnosis, but is not appropriate for all settings. HMM may need to be tailored to specific settings, accounting for local malaria transmission intensity and availability of health services.
Additional information
This research is supported by the ACT Consortium, which is funded through a grant from the Bill & Melinda Gates Foundation to the London School of Hygiene and Tropical Medicine.
Data capture method | Field observation |
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Date (Published in a 3rd party system) | 27 August 2010 |
Language(s) of written materials | English |
Data Creators | Lubell, Y, Mills, A, Whitty, C and Staedke, S |
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LSHTM Faculty/Department | Academic Services & Administration > Academic Administration Faculty of Infectious and Tropical Diseases > Dept of Clinical Research Faculty of Public Health and Policy > Dept of Global Health and Development |
Research Centre | ACT Consortium Malaria Centre |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
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Depositor | Gareth Knight |
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Date Deposited | 15 Apr 2016 09:39 |
Last Modified | 17 Feb 2021 13:42 |
Publisher | Figshare |
Downloads
Data
Filename: HMM_Interactive_Model.xls
Description: Interactive model for the evaluation of Home management of malaria (HMM) strategies. The Microsoft Excel file requires that macros are allowed to run
Content type: Dataset
File size: 571kB
Mime-Type: application/msword