Langley, Ivor ORCID: https://orcid.org/0000-0002-9275-6731, Doulla, Basra, Lin, Hsien-Ho, Millington, Kerry and Squire, Bertie ORCID: https://orcid.org/0000-0001-7173-9038 (2012) 'Modelling the impacts of new diagnostic tools for tuberculosis in developing countries to enhance policy decisions'. Health Care Management Science, Vol 15, Issue 3, pp. 239-253.
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Modelling_the_impacts_of_new_diagnostic_tools_for_uberculosis_ind_eveloping_countries_to_enhance_policy_decision.pdf - Published Version Download (530kB) |
Abstract
The introduction and scale-up of new tools for the diagnosis of Tuberculosis (TB) in developing countries has
the potential to make a huge difference to the lives of millions of people living in poverty. To achieve this, policy makers need the information to make the right decisions about which new tools to implement and where in the diagnostic algorithm to apply them most effectively. These decisions are difficult as the new tools are often expensive to implement and use, and the health system and patient impacts uncertain, particularly in developing countries where there is a high burden of TB. The authors demonstrate that a discrete event simulation model could play a significant part in improving and informing these decisions. The feasibility of linking the discrete event simulation to a dynamic epidemiology model is also explored in order to take account of longer term impacts on the incidence of TB. Results from two diagnostic districts in Tanzania are used to illustrate how the approach could be used to improve decisions.
Item Type: | Article |
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Uncontrolled Keywords: | Developing Countries; Simulation; Transmission modelling; Cost effectiveness; Tuberculosis |
Subjects: | WA Public Health > Preventive Medicine > WA 110 Prevention and control of communicable diseases. Transmission of infectious diseases WA Public Health > Preventive Medicine > WA 243 Diagnositic services WF Respiratory System > Tuberculosis > WF 220 Diagnosis. Prognosis |
Faculty: Department: | Groups (2002 - 2012) > Clinical Group |
Digital Object Identifer (DOI): | https://doi.org/10.1007/s10729-012-9201-3 |
Depositing User: | Helen Rigby |
Date Deposited: | 04 Sep 2012 10:11 |
Last Modified: | 13 Nov 2019 11:21 |
URI: | https://archive.lstmed.ac.uk/id/eprint/2874 |
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