IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v109y2013i3p281-289.html
   My bibliography  Save this article

Trends and levels of avoidable mortality among districts: “Healthy” benchmarking in Germany

Author

Listed:
  • Sundmacher, Leonie

Abstract

All developed nations use indicators to monitor the health of their populations, but few nations provide a systematic monitoring of indicators for small regional units. The present study aims to contribute to the literature a single graph that provides a quick and comprehensive overview of the level of and trend in avoidable mortality in each German district as compared to the national average and development. Using mortality data from the German Federal Statistical Office, I calculated the age-standardized number of avoidable deaths, separately for men and women, in each of the 413 local districts in Germany between 2000 and 2008.

Suggested Citation

  • Sundmacher, Leonie, 2013. "Trends and levels of avoidable mortality among districts: “Healthy” benchmarking in Germany," Health Policy, Elsevier, vol. 109(3), pages 281-289.
    • Handle: RePEc:eee:hepoli:v:109:y:2013:i:3:p:281-289
    DOI: 10.1016/j.healthpol.2012.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851012001893
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.healthpol.2012.07.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ozegowski, Susanne & Sundmacher, Leonie, 2012. "Ensuring access to health care—Germany reforms supply structures to tackle inequalities," Health Policy, Elsevier, vol. 106(2), pages 105-109.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robert Stefko & Beata Gavurova & Viera Ivankova & Martin Rigelsky, 2020. "Gender Inequalities in Health and Their Effect on the Economic Prosperity Represented by the GDP of Selected Developed Countries—Empirical Study," IJERPH, MDPI, vol. 17(10), pages 1-26, May.
    2. Herwartz, Helmut & Schley, Katharina, 2018. "Improving health care service provision by adapting to regional diversity: An efficiency analysis for the case of Germany," Health Policy, Elsevier, vol. 122(3), pages 293-300.
    3. Kinge, Jonas Minet & Vallejo-Torres, Laura & Morris, Stephen, 2015. "Income related inequalities in avoidable mortality in Norway: A population-based study using data from 1994–2011," Health Policy, Elsevier, vol. 119(7), pages 889-898.
    4. Rouven Edgar Haschka & Katharina Schley & Helmut Herwartz, 2020. "Provision of health care services and regional diversity in Germany: insights from a Bayesian health frontier analysis with spatial dependencies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 55-71, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martelli, Nicolas & van den Brink, Hélène, 2014. "Special funding schemes for innovative medical devices in French hospitals: The pros and cons of two different approaches," Health Policy, Elsevier, vol. 117(1), pages 1-5.
    2. Matthias Pelster & Vera Hagemann & Franziska Laporte Uribe, 2016. "Key Aspects of a Sustainable Health Insurance System in Germany," Applied Health Economics and Health Policy, Springer, vol. 14(3), pages 293-312, June.
    3. Weinhold, Ines & Gurtner, Sebastian, 2018. "Rural - urban differences in determinants of patient satisfaction with primary care," Social Science & Medicine, Elsevier, vol. 212(C), pages 76-85.
    4. Vogt, Verena & Siegel, Martin & Sundmacher, Leonie, 2014. "Examining regional variation in the use of cancer screening in Germany," Social Science & Medicine, Elsevier, vol. 110(C), pages 74-80.
    5. Kuhn, Michael & Ochsen, Carsten, 2019. "Population change and the regional distribution of physicians," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    6. Vogt, Verena, 2016. "The contribution of locational factors to regional variations in office-based physicians in Germany," Health Policy, Elsevier, vol. 120(2), pages 198-204.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:hepoli:v:109:y:2013:i:3:p:281-289. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.