Skip to main content

Location Models for Preventive Care

  • Chapter
  • First Online:

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 232))

Abstract

Health conditions are much easier to prevent than to treat, and recovery is often more likely if an illness is diagnosed at an early stage. The substantial savings in the costs of diagnosis and therapy as well as the relatively lower capital investment associated with preventive care programs have been recognized for a long time. Preventive care programs can save lives and contribute to a better quality of life by reducing the needs for radical treatments. For example, there is evidence that mammograms taken on a regular basis have the potential to reduce deaths from breast cancer for women between the ages of 50 and 69 by up to 40 %.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Aboolian R, Berman O, Verter V (2014) Maximal accessibility network design in the public sector. Forthcoming in Transportation Science

    Google Scholar 

  • Berman O, Drezner Z (2006) Location of congested capacitated facilities with distance sensitive demand. IIE Trans 38:213–231

    Article  Google Scholar 

  • Facione NC (1999) Breast cancer screening in relation to access to health services. Oncol Nurs Forum 26:689–696

    Google Scholar 

  • Falkenheimer SA (2004) The adequacy of preventive health care: does the health care provider matter? http://www.cbhd.org/content/adequacy-preventive-health-care-does-health-care-provider-matter. Accessed 13 April 2015

  • Goldsmith J (1989) A radical prescription for hospitals. Harvard Bus Rev 67:104–111

    Google Scholar 

  • Gu W, Wang X, McGregor SE (2010) Optimization of preventive health care facility locations. Int J Health Geogr 9:17–32

    Article  Google Scholar 

  • Gupta S, Chintagunta PK, Kaul A, Wittink DR (1996) Do household scanner data provide representative inferences from brand choices: a comparison with store data. J Mark Res 33:383–398

    Article  Google Scholar 

  • Haase K, Muller S (2013) Insights into clients’ choice in preventive health care facility location planning. Working Paper. University of Hamburg

    Google Scholar 

  • Health Canada (2007) Mammography. http://www.hc-sc.gc.ca/hl-vs/iyh-vsv/med/mammog-eng.php. Accessed 13 April 2015

  • Huff DL (1962) Determination of intra-urban retail trade areas. Real Estate Research Program, UCLA

    Google Scholar 

  • Kee F, Telford AM, Donaghy P, O’doherty A (1992) Attitude or access: reasons for not attending mammography in northern Ireland. Eur J Cancer Prev 1/4:311–316

    Article  Google Scholar 

  • Kelley CT (1999) Iterative methods for optimization. Frontiers in applied mathematics. SIAM, Raleigh

    Book  Google Scholar 

  • Kleinrock L (1975) Queueing system I: theory. Wiley, New York

    Google Scholar 

  • Kucukyazici B, Song L, Verter V, Zhang Y (2014) Incorporating client choice into facility network design of preventive cancer screening programs. Working Paper. McGill University

    Google Scholar 

  • Marianov V, Serra D (2002) Location-allocation of multiple-server service centers with constrained queues or waiting times. Ann Oper Res 111:35–50

    Article  Google Scholar 

  • Marianov V, Rios M, Taborga P (2004) Finding locations for public service centres that compete with private centres: effects of congestion. Pap Reg Sci 83:631–648

    Google Scholar 

  • McFadden D (1974) Conditional logit analysis of quantitative choice behavior. In: Zarembkar P (ed) Frontiers in economics. Academic Press, New York

    Google Scholar 

  • Munn EM (1993) Nonparticipation in mammography screening: apathy, anxiety or cost? N Z Med J 106/959:284–286

    Google Scholar 

  • Nakanishi M, Cooper LG (1974) Parameter estimation for a multiplicative competitive interaction model: least squares approach. J Market Res 11(3):303–311

    Article  Google Scholar 

  • Public Health Agency of Canada (2006) Organized breast cancer screening programs in Canada—Report on program performance in 2005 and 2006. http://www.phac-aspc.gc.ca/cd-mc/publications/cancer/obcsp-podcs05/index-eng.php Accessed 14 July 2015.

  • Rimer BK, Keintz MK, Kessler HB, Engstrom PF, Rosan JR (1989) Why women resist screening mammography: patient-related barriers. Radiology 172/1:243–246

    Article  Google Scholar 

  • Rojeski P, ReVelle CS (1970) Central facilities location under an investment constraint. Geogr Anal 2:343–360

    Article  Google Scholar 

  • Verter V, Lapierre SD (2002) Location of preventive health care facilities. Ann Oper Res 110:123–132

    Article  Google Scholar 

  • Walker K (1977) Current issues in the provision of health care services. J Consum Aff 11:52–62

    Article  Google Scholar 

  • Wang Q, Batta R, Rump CM (2002) Algorithms for a facility location problem with stochastic customer demand and immobile servers. Ann Oper Res 111:17–34

    Article  Google Scholar 

  • World Health Organisation (2002) Integrating prevention into health care. http://apps.who.int/bookorders/anglais/detart1.jsp?codlan=1&codcol=15&codcch=739. Accessed 13 April 2015

  • Zhang Y, Berman O, Verter V (2009) Incorporating congestion in preventive healthcare facility network design. Eur J Oper Res 198:922–935

    Article  Google Scholar 

  • Zhang Y, Berman O, Marcotte P, Verter V (2010) A bilevel model for preventive healthcare network design with congestion. IIE Trans 42/12:865–880

    Article  Google Scholar 

  • Zhang Y, Berman O, Verter V (2012) The impact of client choice on preventive healthcare facility network design. OR Spectr 34:349–370

    Article  Google Scholar 

  • Zimmerman S (1997) Factors influencing hispanic participation in prostate cancer screening. Oncol Nurs Forum 24:499–504

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vedat Verter .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Verter, V., Zhang, Y. (2015). Location Models for Preventive Care. In: Eiselt, H., Marianov, V. (eds) Applications of Location Analysis. International Series in Operations Research & Management Science, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-20282-2_9

Download citation

Publish with us

Policies and ethics