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A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas
BACKGROUND: The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocatio...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556654/ https://www.ncbi.nlm.nih.gov/pubmed/18793428 http://dx.doi.org/10.1186/1476-072X-7-49 |
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author | Schuurman, Nadine Leight, Margo Berube, Myriam |
author_facet | Schuurman, Nadine Leight, Margo Berube, Myriam |
author_sort | Schuurman, Nadine |
collection | PubMed |
description | BACKGROUND: The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocation decisions. As health services are rationalized, the development of tools such graphical user interfaces (GUIs) is especially valuable at they assist decision makers in allocating resources such that the maximum number of people are served. GIS can used to develop GUIs that enable spatial decision making. RESULTS: We have created a Web-based GUI (wGUI) to assist health policy makers and administrators in the Canadian province of British Columbia make well-informed decisions about the location and allocation of time-sensitive service capacities in rural regions of the province. This tool integrates datasets for existing hospitals and services, regional populations and road networks to allow users to ascertain the percentage of population in any given service catchment who are served by a specific health service, or baskets of linked services. The wGUI allows policy makers to map trauma and obstetric services against rural populations within pre-specified travel distances, illustrating service capacity by region. CONCLUSION: The wGUI can be used by health policy makers and administrators with little or no formal GIS training to visualize multiple health resource allocation scenarios. The GUI is poised to become a critical decision-making tool especially as evidence is increasingly required for distribution of health services. |
format | Text |
id | pubmed-2556654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25566542008-10-01 A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas Schuurman, Nadine Leight, Margo Berube, Myriam Int J Health Geogr Research BACKGROUND: The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocation decisions. As health services are rationalized, the development of tools such graphical user interfaces (GUIs) is especially valuable at they assist decision makers in allocating resources such that the maximum number of people are served. GIS can used to develop GUIs that enable spatial decision making. RESULTS: We have created a Web-based GUI (wGUI) to assist health policy makers and administrators in the Canadian province of British Columbia make well-informed decisions about the location and allocation of time-sensitive service capacities in rural regions of the province. This tool integrates datasets for existing hospitals and services, regional populations and road networks to allow users to ascertain the percentage of population in any given service catchment who are served by a specific health service, or baskets of linked services. The wGUI allows policy makers to map trauma and obstetric services against rural populations within pre-specified travel distances, illustrating service capacity by region. CONCLUSION: The wGUI can be used by health policy makers and administrators with little or no formal GIS training to visualize multiple health resource allocation scenarios. The GUI is poised to become a critical decision-making tool especially as evidence is increasingly required for distribution of health services. BioMed Central 2008-09-15 /pmc/articles/PMC2556654/ /pubmed/18793428 http://dx.doi.org/10.1186/1476-072X-7-49 Text en Copyright © 2008 Schuurman et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Schuurman, Nadine Leight, Margo Berube, Myriam A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
title | A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
title_full | A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
title_fullStr | A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
title_full_unstemmed | A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
title_short | A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
title_sort | web-based graphical user interface for evidence-based decision making for health care allocations in rural areas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556654/ https://www.ncbi.nlm.nih.gov/pubmed/18793428 http://dx.doi.org/10.1186/1476-072X-7-49 |
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