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Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands

BACKGROUND: The goal of malaria elimination faces numerous challenges. New tools are required to support the scale up of interventions and improve national malaria programme capacity to conduct detailed surveillance. This study investigates the cost factors influencing the development and implementa...

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Autores principales: Marston, Luke, Kelly, Gerard C, Hale, Erick, Clements, Archie CA, Hodge, Andrew, Jimenez-Soto, Eliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148529/
https://www.ncbi.nlm.nih.gov/pubmed/25130064
http://dx.doi.org/10.1186/1475-2875-13-325
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author Marston, Luke
Kelly, Gerard C
Hale, Erick
Clements, Archie CA
Hodge, Andrew
Jimenez-Soto, Eliana
author_facet Marston, Luke
Kelly, Gerard C
Hale, Erick
Clements, Archie CA
Hodge, Andrew
Jimenez-Soto, Eliana
author_sort Marston, Luke
collection PubMed
description BACKGROUND: The goal of malaria elimination faces numerous challenges. New tools are required to support the scale up of interventions and improve national malaria programme capacity to conduct detailed surveillance. This study investigates the cost factors influencing the development and implementation of a spatial decision support system (SDSS) for malaria elimination in the two elimination provinces of Isabel and Temotu, Solomon Islands. METHOD: Financial and economic costs to develop and implement a SDSS were estimated using the Solomon Islands programme’s financial records. Using an ingredients approach, verified by stakeholders and operational reports, total costs for each province were quantified. A budget impact sensitivity analysis was conducted to investigate the influence of variations in standard budgetary components on the costs and to identify potential cost savings. RESULTS: A total investment of US$ 96,046 (2012 constant dollars) was required to develop and implement the SDSS in two provinces (Temotu Province US$ 49,806 and Isabel Province US$ 46,240). The single largest expense category was for computerized equipment totalling approximately US$ 30,085. Geographical reconnaissance was the most expensive phase of development and implementation, accounting for approximately 62% of total costs. Sensitivity analysis identified different cost factors between the provinces. Reduced equipment costs would deliver a budget saving of approximately 10% in Isabel Province. Combined travel costs represented the greatest influence on the total budget in the more remote Temotu Province. CONCLUSION: This study provides the first cost analysis of an operational surveillance tool used specifically for malaria elimination in the South-West Pacific. It is demonstrated that the costs of such a decision support system are driven by specialized equipment and travel expenses. Such factors should be closely scrutinized in future programme budgets to ensure maximum efficiencies are gained and available resources are allocated effectively. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-325) contains supplementary material, which is available to authorized users.
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spelling pubmed-41485292014-08-29 Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands Marston, Luke Kelly, Gerard C Hale, Erick Clements, Archie CA Hodge, Andrew Jimenez-Soto, Eliana Malar J Research BACKGROUND: The goal of malaria elimination faces numerous challenges. New tools are required to support the scale up of interventions and improve national malaria programme capacity to conduct detailed surveillance. This study investigates the cost factors influencing the development and implementation of a spatial decision support system (SDSS) for malaria elimination in the two elimination provinces of Isabel and Temotu, Solomon Islands. METHOD: Financial and economic costs to develop and implement a SDSS were estimated using the Solomon Islands programme’s financial records. Using an ingredients approach, verified by stakeholders and operational reports, total costs for each province were quantified. A budget impact sensitivity analysis was conducted to investigate the influence of variations in standard budgetary components on the costs and to identify potential cost savings. RESULTS: A total investment of US$ 96,046 (2012 constant dollars) was required to develop and implement the SDSS in two provinces (Temotu Province US$ 49,806 and Isabel Province US$ 46,240). The single largest expense category was for computerized equipment totalling approximately US$ 30,085. Geographical reconnaissance was the most expensive phase of development and implementation, accounting for approximately 62% of total costs. Sensitivity analysis identified different cost factors between the provinces. Reduced equipment costs would deliver a budget saving of approximately 10% in Isabel Province. Combined travel costs represented the greatest influence on the total budget in the more remote Temotu Province. CONCLUSION: This study provides the first cost analysis of an operational surveillance tool used specifically for malaria elimination in the South-West Pacific. It is demonstrated that the costs of such a decision support system are driven by specialized equipment and travel expenses. Such factors should be closely scrutinized in future programme budgets to ensure maximum efficiencies are gained and available resources are allocated effectively. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-325) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-18 /pmc/articles/PMC4148529/ /pubmed/25130064 http://dx.doi.org/10.1186/1475-2875-13-325 Text en © Marston 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 credited. 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.
spellingShingle Research
Marston, Luke
Kelly, Gerard C
Hale, Erick
Clements, Archie CA
Hodge, Andrew
Jimenez-Soto, Eliana
Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands
title Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands
title_full Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands
title_fullStr Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands
title_full_unstemmed Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands
title_short Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands
title_sort cost analysis of the development and implementation of a spatial decision support system for malaria elimination in solomon islands
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148529/
https://www.ncbi.nlm.nih.gov/pubmed/25130064
http://dx.doi.org/10.1186/1475-2875-13-325
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