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Analysis: Contextualization of Process and Content

  • Marieke VerschuurenEmail author
  • Hans van Oers
  • Henk Hilderink
  • Neil Riley
Chapter

Abstract

The processes of indicator selection and data collection have been explained in the previous chapters. The next step in climbing the information pyramid is the analysis phase. This includes the calculation of indicator values (moving from data to information) and, subsequently, placing these indicators into a context in order to make them meaningful for policy (moving from information to knowledge). However, performing an analysis does not only imply a contextualization of content. For a population health analyst, it is also important to understand the context of the process of analysis and ask questions like: who has commissioned the assignment, and for what purpose? What are the values, norms and customs of the organization I am working for, and how do they impact on my analysis approach? How do available resources influence the analysis process? In this chapter, first a framework for getting to grips with the context of the analysis process is provided. This includes understanding the why, how and what of the analysis. After that, a framework for contextualizing indicator values is described. This entails two main steps or activities: comparing indicator values and integrating the thus obtained information with information from other disciplines and perspectives. For both frameworks, practical guidance, examples, tools and caveats are provided. The chapter ends with an overview of current and future developments that are expected to significantly influence population health analysis practice.

Keywords

Indicator value Analysis Brief Context Comparison Geographical area Time trend Scenario study Integration Synthesis Information Knowledge 

References

  1. Bos, V., & van Kammen, J. (2007). Kennissynthese een handleiding. NIGZ en ZonMw. [Dutch]. https://www.zonmw.nl/uploads/tx_vipublicaties/kennissynthese_handleiding_voor_web_1_.pdf. Accessed 13 Sept 2017.
  2. BusinessDictionary. (2017). Benchmarking. BusinessDictionary. http://www.businessdictionary.com/definition/benchmarking.html. Accessed 20 Jul 2017.
  3. Cochrane. (2017). http://www.cochrane.org/. Accessed 20 Jul 2017.
  4. Detels, R., Gulliford, M., Quarraisha Abdool Karim, Q., & Tan, C. C. (2015). Oxford textbook of global public health (6th ed.). Oxford: Oxford University Press.CrossRefGoogle Scholar
  5. Eurostat. (2017). First population estimates EU population up to almost 512 million at 1 January 2017. Eurostat Newsrelease 110/2017. http://ec.europa.eu/eurostat/documents/2995521/8102195/3-10072017-AP-EN.pdf/a61ce1ca-1efd-41df-86a2-bb495daabdab. Accessed 13 Sept 2017.
  6. GISMO. (2010). The global integrated sustainability model. http://themasites.pbl.nl/tridion/en/themasites/_disabled_gismo/. Accessed 20 Jul 2017.
  7. Harbers, M. M., van der Wilk, E. A., Kramers, P. G. N., Kuunders, M. M. A. P., Verschuuren, M., Eliyahu, H., et al. (2008). Dare to compare! Benchmarking Dutch health with the European Community Health Indicators (ECHI). National Institute for Public Health and the Environment (RIVM). http://www.rivm.nl/bibliotheek/rapporten/270051011.html. Accessed 13 Sept 2017.
  8. Haveman-Nies, A., Jansen, M., Van Oers, J. A. M., & Van’t Veer, P. (Eds.). (2017). Epidemiology in public health practice. Wageningen: Wageningen Academic Publishers.Google Scholar
  9. Health Evidence. (2017). http://healthevidence.org/. Accessed 20 Jul 2017.
  10. Hennessy, D. A., Flanagan, W. M., Tanuseputro, P., Bennett, C., Tuna, M., Kopec, J., et al. (2015). The Population Health Model (POHEM): An overview of rationale, methods and applications. Population Health Metrics, 13, 24. https://doi.org/10.1186/s12963-015-0057-x.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Hoeymans, N., Van Loon, A. J. M., Van den Berg, M., Harbers, M. M., Hilderink, H. B. M., van Oers, J. A. M., et al. (2014). A healthier Netherlands: Key findings from the Dutch 2014 Public Health Status and Foresight Report. National Institute for Public Health and the Environment (RIVM). http://www.rivm.nl/dsresource?objectid=e389d262-87fc-4a80-840d-323275b3131a&type=org&disposition=inline. Accessed 8 Sept 2017.
  12. Hoogenveen, R. T., de Hollander, A. E. M., & van Genugten, M. L. L. (1998).The chronic diseases modelling approach. National Institute for Public Health and the Environment (RIVM). http://www.rivm.nl/bibliotheek/rapporten/266750001.html. Accessed 13 Sept 2017.
  13. IEEE. (2013). SimPHO: An ontology for simulation modeling of population health. Simulation Conference (WSC), Proceedings of the 2012 Winter. https://doi.org/10.1109/WSC.2012.6465128.
  14. Lhachimi, S. K., Nusselder, W. J., Smit, H. A., Van Baal, P., Baili, P., Bennett, K., et al. (2012). DYNAMO-HIA–A dynamic modeling tool for generic health impact assessments. PLoS One, 7(5), e33317. https://doi.org/10.1371/journal.pone.0033317.CrossRefPubMedPubMedCentralGoogle Scholar
  15. Mackenbach, J. P., & McKee, M. (2013). A comparative analysis of health policy performance in 43 European countries. European Journal of Public Health, 23(2), 195–201. https://doi.org/10.1093/eurpub/cks192.CrossRefPubMedGoogle Scholar
  16. PBL. (2012). Nature Outlook 2010-2040. Netherlands Environmental Assessment Agency (PBL). http://themasites.pbl.nl/natureoutlook/2012/. Accessed 20 Jul 2017.
  17. SASHU. (2017). Small area health statistics unit. http://www.sahsu.org/. Accessed 20 Jul 2017.
  18. UN. (2017). Sustainable development goals. United Nations. https://sustainabledevelopment.un.org/?menu=1300. Accessed 20 Jul 2017.
  19. USGS. (2016). Future land use and land cover scenarios. U.S. Geological Survey. https://www2.usgs.gov/climate_landuse/land_carbon/scenarios.asp. Accessed 20 Jul 2017.
  20. Van de Kassteele, J., Zwakhals, L., Breugelmans, O., Ameling, C., & Van den Brink, C. (2017). Estimating the prevalence of 26 health-related indicators at neighbourhood level in the Netherlands using structured additive regression. International Journal of Health Geographics, 16, 23. https://doi.org/10.1186/s12942-017-0097-5.CrossRefPubMedPubMedCentralGoogle Scholar
  21. Van der Wilk, E. A., Melse, J. M., den Broeder, J. M., & Achterberg, P. W. ( 2008). Learning from our neighbours. Cross-national inspiration for Dutch public health policies: Smoking, alcohol, overweight, depression, health inequalities, youth, screening. National Institute for Public Health and the Environment (RIVM). http://www.rivm.nl/Documenten_en_publicaties/Wetenschappelijk/Rapporten/2008/juli/Learning_from_our_neighbours_Cross_national_inspiration_for_Dutch_public_health_policies_smoking_alcohol_overweight_depression_health_inequalities_youth_screening. Accessed 13 Sept 2017.
  22. Verschuuren, M., Achterberg, P. W., Gijsen, R., Harbers, M. M., Vijge, E., van der Wilk, E. A., et al. (2012). ECHI indicator development and documentation. Joint action for ECHIM final report part II. National Institute for Public Health and the Environment (RIVM). Bilthoven, The Netherlands. https://www.volksgezondheidenzorg.info/sites/default/files/echim-final-report_part-ii_pdf.pdf. Accessed 13 Sept 2017.
  23. Volksgezondheidenzorg.info (VZinfo). (2017). Public health and health care website. https://www.volksgezondheidenzorg.info/. Accessed 20 Jul 2017.
  24. WHO. (2013). The European health report 2012. Charting the way to well-being. Copenhagen: World Health Organization Regional office for Europe. http://www.euro.who.int/__data/assets/pdf_file/0004/197113/EHR2012-Eng.pdf. Accessed 30 Aug 2017.
  25. WHO. (2015a). The European health report 2015. Targets and beyond – Reaching new frontiers in evidence. World Health Organization. Copenhagen: Regional office for Europe. http://www.euro.who.int/en/data-and-evidence/european-health-report/european-health-report-2015/european-health-report-2015-the.-targets-and-beyond-reaching-new-frontiers-in-evidence. Accessed 30 Aug 2017.
  26. WHO. (2015b). Support tool to assess health information systems and develop and strengthen health information strategies. Copenhagen: World Health Organization Regional office for Europe http://www.euro.who.int/__data/assets/pdf_file/0011/278741/Support-tool-assess-HIS-en.pdf?ua=1. Accessed 30 Aug 2017.Google Scholar
  27. WHO. (2016). Targets and indicators for Health 2020. Version 3 (2016). Copenhagen: World Health Organization Regional office for Europe http://www.euro.who.int/en/health-topics/health-policy/health-2020-the-european-policy-for-health-and-well-being/publications/2016/targets-and-indicators-for-health-2020.-version-3-2016. Accessed 30 Aug 2017.Google Scholar
  28. WHO. (2017). Cultural contexts of health. Copenhagen: World Health Organization Regional office for Europe http://www.euro.who.int/en/data-and-evidence/cultural-contexts-of-health. Accessed 20 Jul 2017.Google Scholar

Further Reading

  1. Websites with/ tools for making international comparisons:Google Scholar
  2. Eurostat: database and data visualizations & tools.Gapminder.Google Scholar
  3. Institute of Health Metrics and Evaluation (IHME)., Global Burden of Disease (GBD) compare tool.Google Scholar
  4. OECD Health Statistics.Google Scholar
  5. WHO’s European Health Information Gateway.Google Scholar
  6. World Bank DataBank.Google Scholar
  7. Other:OECD. Schooling for Tomorrow Knowledge Base › Futures Thinking › Overview of Methodologies. Accessed 16 Jul 2017.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Marieke Verschuuren
    • 1
    Email author
  • Hans van Oers
    • 2
  • Henk Hilderink
    • 1
  • Neil Riley
    • 3
  1. 1.Centre for Health Knowledge IntegrationNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
  2. 2.Chief Science Officer Health System Assessment and Policy Support, National Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
  3. 3.Commissioning Strategy, NHS EnglandLeedsUK

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