IDEAS home Printed from https://ideas.repec.org/p/hhs/kaunek/0004.html
   My bibliography  Save this paper

Effect of response times on survival from out-of-hospital cardiac arrest: using geographic information systems

Author

Listed:
  • Sund, Björn

    (Dept. of Economics)

Abstract

We explored how different response times from out-of-hospital cardiac arrest (OHCA) to defibrillation in the County of Stockholm, Sweden, affect patients’ survival rates. This was done by combining a geographic information systems (GIS) simulation of driving times with register data on survival rates. The emergency resources comprised ambulance alone and ambulance plus fire services. The simulation model predicted a baseline survival rate of 3.9 percent, and reducing the ambulance response time by one minute increased survival to 4.6 percent. Adding the fire services as first responders (dual dispatch) increased survival to 6.2 percent from the baseline level. The model predictions were vali-dated using empirical data.

Suggested Citation

  • Sund, Björn, 2012. "Effect of response times on survival from out-of-hospital cardiac arrest: using geographic information systems," Karlstad University Working Papers in Economics 4, Karlstad University, Department of Economics.
  • Handle: RePEc:hhs:kaunek:0004
    as

    Download full text from publisher

    File URL: http://www.kau.se/sites/default/files/Dokument/subpage/2012/02/2012_4_pdf_80284.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sund, Björn, 2010. "The value of a statistical life for out-of-hospital cardiac arrest victims," Working Papers 2010:4, Örebro University, School of Business.
    2. Rauner, Marion S. & Bajmoczy, Nikolaus, 2003. "How many AEDs in which region? An economic decision model for the Austrian Red Cross," European Journal of Operational Research, Elsevier, vol. 150(1), pages 3-18, October.
    3. Johannesson, Magnus & Jonsson, Bengt, 1991. "Economic evaluation in health care: Is there a role for cost-benefit analysis?," Health Policy, Elsevier, vol. 17(1), pages 1-23, February.
    4. Sund, Björn & Svensson, Leif & Rosenqvist, Mårten & Hollenberg, Jacob, 2010. "Favourable cost-benefit in an early defibrillation program using dual dispatch of ambulance and fire services in out-of-hospital cardiac arrest," Working Papers 2010:13, Örebro University, School of Business.
    Full references (including those not matched with items on IDEAS)

    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. Björn Sund & Leif Svensson & Mårten Rosenqvist & Jacob Hollenberg, 2012. "Favourable cost-benefit in an early defibrillation programme using dual dispatch of ambulance and fire services in out-of-hospital cardiac arrest," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(6), pages 811-818, December.
    2. Wagner, Todd H. & Hu, Teh-wei & Duenas, Grace V. & Pasick, Rena J., 2000. "Willingness to pay for mammography: item development and testing among five ethnic groups," Health Policy, Elsevier, vol. 53(2), pages 105-121, September.
    3. Xiao-Hua Ying & Teh-Wei Hu & Jane Ren & Wen Chen & Ke Xu & Jin-Hui Huang, 2007. "Demand for private health insurance in Chinese urban areas," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1041-1050.
    4. Seunghwan Leem & James Jungbae Roh, 2016. "Who will buy the automated external defibrillator in Japan?," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 10(1), pages 121-134.
    5. Klose, Thomas, 1999. "The contingent valuation method in health care," Health Policy, Elsevier, vol. 47(2), pages 97-123, May.
    6. Kumar, Sanjay & Mirajkar, Pallavi P. & Singh, Y.P. & Singh, R., 2011. "Analysis of Willingness to Pay for Veterinary Services of the Livestock Owners of Sangli District of Maharashtra," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(1), June.
    7. Mihic, Marko M. & Todorovic, Marija Lj. & Obradovic, Vladimir Lj., 2014. "Economic analysis of social services for the elderly in Serbia: Two sides of the same coin," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 9-21.
    8. Denise Bijlenga & Gouke J. Bonsel & Erwin Birnie, 2011. "Eliciting willingness to pay in obstetrics: comparing a direct and an indirect valuation method for complex health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 20(11), pages 1392-1406, November.
    9. Mataria, Awad & Donaldson, Cam & Luchini, Stephane & Moatti, Jean-Paul, 2004. "A stated preference approach to assessing health care-quality improvements in Palestine: from theoretical validity to policy implications," Journal of Health Economics, Elsevier, vol. 23(6), pages 1285-1311, November.
    10. O'Conor, Richard M. & Blomquist, Glenn C., 1997. "Measurement of consumer-patient preferences using a hybrid contingent valuation method," Journal of Health Economics, Elsevier, vol. 16(6), pages 667-683, December.
    11. Awad Mataria & Stéphane Luchini & Yousef Daoud & Jean‐Paul Moatti, 2007. "Demand assessment and price‐elasticity estimation of quality‐improved primary health care in palestine: a contribution from the contingent valuation method," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1051-1068, October.
    12. Tim Arlinghaus & Kevin Kus & Patricia Kajüter Rodrigues & Frank Teuteberg, 2023. "Visualizing Benefits of Case Management Software Using Utility Effect Chains," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    13. Shinji Takemura & Takashi Ohida & Tomofumi Sone & Takashi Fukuda & Yukie Takemura, 2005. "Influences of the absence of random assignment of bids on estimating willingness to pay using a discrete‐choice question," Health Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 209-213, February.
    14. Xianning Wang & Zhengang Ma & Jiusheng Chen & Jingrong Dong, 2023. "Can Regional Eco-Efficiency Forecast the Changes in Local Public Health: Evidence Based on Statistical Learning in China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    15. Wagner, Todd H. & Hu, Teh-wei & Duenas, Grace V. & Kaplan, Celia P. & Nguyen, Bang H. & Pasick, Rena J., 2001. "Does willingness to pay vary by race/ethnicity? An analysis using mammography among low-income women," Health Policy, Elsevier, vol. 58(3), pages 275-288, December.
    16. Kobelt, G., 2013. "Health Economics: An Introduction to Economic Evaluation," Monographs, Office of Health Economics, number 000004.
    17. Chiara PANCOTTI & Giuseppe BATTISTONI & Mario GENCO & Maria Vittoria LIVRAGA & Paola MELLA & Sandro ROSSI & Silvia VIGNETTI, 2015. "The socio-economic impact of the National Hadrontherapy Centre for Cancer Treatment (CNAO): applying a CBA analytical framework," Departmental Working Papers 2015-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    18. Drummond, Michael & Stoddart, Greg, 1995. "Assessment of health producing measures across different sectors," Health Policy, Elsevier, vol. 33(3), pages 219-231, September.
    19. Amiram Gafni, 2006. "Economic Evaluation of Health-care Programmes: Is CEA Better than CBA?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(3), pages 407-418, July.
    20. Timothy C. Y. Chan & Derya Demirtas & Roy H. Kwon, 2016. "Optimizing the Deployment of Public Access Defibrillators," Management Science, INFORMS, vol. 62(12), pages 3617-3635, December.

    More about this item

    Keywords

    out-of-hospital cardiac arrest; defibrillation; response time; survival rate; geographic information systems; fire services;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • I10 - Health, Education, and Welfare - - Health - - - General

    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:hhs:kaunek:0004. 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: Niklas Jakobsson (email available below). General contact details of provider: https://edirc.repec.org/data/eikause.html .

    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.