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simSALUD - a Web-based Spatial Microsimulation Application to Support Regional Health Planning in Austria

Author

Listed:
  • Melanie Tomintz
  • Bernhard Kosar
  • Victor Garcia-Barrios

Abstract

The Austrian Federal Ministry of Health aims to improve the health of all people living in Austria and to decrease health and social inequalities. This leads to a careful planning and distribution of the available health care resources to meet government aims. The research project SALUD, funded by the Federal Ministry for Transport, Innovation and Technology and the Austrian Science Fund, focuses on building a Spatial Microsimulation Model for Austria by combining survey and census data to model small area health issues based on individuals or households where no data exists, so called missing data. Within this project, a first prototype of simSALUD is developed, which is a Web-based spatial microsimulation application for health decision support as to date no flexible and free-available Web application in the area of spatial microsimulation exists. simSALUD targets two groups: experts in the area and health policy decision makers (HPDM). The present work focuses on the latter group and will highlight the benefits of simSALUD for HPDM, as they are mainly interested in the results and not primarily in the underlying modelling process. The first prototype of simSALUD is a Web-based application that can be used either offline or online and is therefore accessible anywhere and anytime. Functionally it consists of three modules called (i) data loader, (ii) visualisation area, and (iii) geoprocessing tools. - The data loader supports the management of different datasets (loading, overlaying, sorting, etc.). The main benefit here is that HPDM may access a shared pool of open simulated data that is otherwise hardly available. - The visualisation area presents an interactive map with different standard functionalities, including zoom and pan. This is especially valuable for HPDM as hotspots and problem areas on maps can often be identified more easily than lots of numbers in a list. - The geoprocessing tools, such as 'create buffer' or 'location optimization' allow doing spatial analysis on data to answer what-if scenarios. In general, the main advantage of simSALUD is that HPDM can use the application and perform various spatial analyses without needing specialist skills in spatial microsimulation modelling or geoinformation science. The first prototype of SimSALUD will be introduced to our project partners in their health departments in order to evaluate its practical usefulness and relevance in the area of regional health planning. This work will discuss the results of the evaluation, highlighting the pros and cons of the prototype as well as defining the road map for futures developments of simSALUD. Hence, with simSALUD we hope to make a positive contribution for the area of spatial microsimulation modelling, as it is the first open accessible Web application so far.

Suggested Citation

  • Melanie Tomintz & Bernhard Kosar & Victor Garcia-Barrios, 2013. "simSALUD - a Web-based Spatial Microsimulation Application to Support Regional Health Planning in Austria," ERSA conference papers ersa13p329, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa13p329
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa13/ERSA2013_paper_00329.pdf
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    References listed on IDEAS

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    1. Annie Abello & Laurie Brown, 2007. "Model 18: MediSim (Static Microsimulation Model of the Australian Pharmaceutical Benefits Scheme)," International Symposia in Economic Theory and Econometrics, in: Modelling Our Future: Population Ageing, Health and Aged Care, pages 533-539, Emerald Group Publishing Limited.
    2. Martin Clarke & M. E. Spowage, 1984. "Integrated Models For Public Policy Analysis: An Example Of The Practical Use Of Simulation Models In Health Care Planning," Papers in Regional Science, Wiley Blackwell, vol. 55(1), pages 25-45, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Spatial microsimulation; Web-based application; health decision support; simSALUD;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

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