IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa15p526.html
   My bibliography  Save this paper

Disparity in emergency medical services across Japan

Author

Listed:
  • Taro Takimoto
  • Kazuya Sakata
  • Kazunori Nakajima
  • Masaki Narukawa
  • Naoki Sakamoto

Abstract

By using a prospective, nation-wide, population-based out-of-hospital cardiac arrest (OHCA) database (All-Japan Utstein Registry, January 1, 2005 to December 31, 2012), we examined the disparity in emergency medical services across Japan and found significant disparities among prefectures. By dividing Japan into seven parts, Hasegawa et al. (2013) analysed regional variability in survival outcomes of OHCA and found a two-fold regional difference in neurologically favourable survival after OHCA. However, seven regions are constructed of North, Northeast, East, Central, Midwest, West, South, and Japan has 47 prefectures. Each prefecture grouped in the same region would be different from others in many aspects. To identify regional disparities more in prehospital care and in-hospital post-resuscitation care, we investigated survival outcomes of OHCA in prefecture levels. As the budgets of central and local governments are not unrestrained but restricted all over the world, the findings in the paper would be beneficial to consider optimal level of regional emergency medical services.

Suggested Citation

  • Taro Takimoto & Kazuya Sakata & Kazunori Nakajima & Masaki Narukawa & Naoki Sakamoto, 2015. "Disparity in emergency medical services across Japan," ERSA conference papers ersa15p526, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa15p526
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa15/e150825aFinal00526.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Emergency Medical Service; Disparity among Prefectures;

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:wiw:wiwrsa:ersa15p526. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.