Volume 14 Supplement 2

Health Services Research: Evidence-based practice

Open Access

Health systems modelling – demonstrating the potential impact of diagnostic and treatment integration of human African trypanosomiasis using different health system structures

  • Claudette S Sutherland1, 2,
  • Chris Stone1, 2 and
  • Fabrizio Tediosi1, 2
BMC Health Services Research201414(Suppl 2):P122

https://doi.org/10.1186/1472-6963-14-S2-P122

Published: 7 July 2014

Background

Human African Trypanosomiasis (HAT) is a Neglected Tropical Disease (NTD) targeted for elimination. The declining prevalence of infection will change the demands on health systems to effectively detect cases. Detection of HAT currently relies on vertical surveillance programs where patients are identified in their villages and then required to travel long distances to HAT treatment centres (HTC). New diagnostics and interventions could change the future of service delivery of case detection and treatment; as local services would reduce out-of-pocket (OOP) expenditures and the inconvenience of travelling long distances. It is proposed that the integration of programs into the local health centres (LHC) could be modelled to forecast outcomes related to service delivery, patient accessibility, time spent in the system and resources used with current and new interventions.

Materials and methods

A discrete-event simulation (DES) health systems model has been developed using SIMUL8®. The model simulates patients’ movement through the health system within a specified area. Different health system structures of both integrated (e.g. inclusion of local health centres) and non-integrated (e.g. vertical surveillance programs) approaches were constructed in the model. Data from current and new diagnostic and treatments have been simulated through the model in order to measure the impact of switching from a non-integrated to integrated health system.

Results

Preliminary results suggest that integrated systems with new technologies will increase accessibility, decrease patient wait times but also require additional costs for training and for improving health infrastructures at the local level.

Conclusion

An integrated health system could lead to improvements in coverage of treatment and reducing inequity in access to HAT treatment. While the initial additional costs of these interventions could be offset by savings in OOP payments, affordability to health systems should be carefully assessed. The analysis shows that health systems’ modelling is an informative tool for investment decisions regarding an integrated approach.

Declarations

Acknowledgements

This project was funded by Grant #: OPP1037660 from the Bill and Melinda Gates Foundation regarding the Elimination and Eradication of 3 Neglected Tropical Diseases of which HAT is one. We would also like to thank the members of the Swiss Tropical and Public Health Institute for their support of this publication.

Authors’ Affiliations

(1)
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute
(2)
University of Basel

Copyright

© Sutherland et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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