IDEAS home Printed from https://ideas.repec.org/a/kap/hcarem/v10y2007i3p253-267.html
   My bibliography  Save this article

A mixed integer programming model to locate traumatic brain injury treatment units in the Department of Veterans Affairs: a case study

Author

Listed:
  • Murray Côté
  • Siddhartha Syam
  • W. Vogel
  • Diane Cowper

Abstract

For the Department of Veterans Affairs (VA), traumatic brain injury (TBI) is a significant problem facing active duty military personnel, veterans, their families, and caregivers. The VA has designated TBI treatment as one of its physical medicine and rehabilitation special emphasis programs, thereby providing a comprehensive array of treatment services to those military personnel and veterans with TBI. Timely treatment of TBI is critical in achieving maximal recovery, and being in geographical proximity to a medical center with specialized TBI treatment services is a major determinant of whether such treatment is utilized. We present a mixed integer programming model for locating TBI treatment units in the VA. This model was developed for the VA Rehabilitation Strategic Healthcare Group to assist in locating new TBI treatment units. The optimization model assigns TBI treatment units to existing VA medical centers while minimizing the sum of patient treatment costs, patient lodging and travel costs, and the penalty costs associated with foregone treatment revenue and excess capacity utilization. We demonstrate our model with VA TBI admission data from one of the VA’s integrated service networks, and discuss the expected service and cost implications for a range of TBI treatment unit location options. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Murray Côté & Siddhartha Syam & W. Vogel & Diane Cowper, 2007. "A mixed integer programming model to locate traumatic brain injury treatment units in the Department of Veterans Affairs: a case study," Health Care Management Science, Springer, vol. 10(3), pages 253-267, September.
  • Handle: RePEc:kap:hcarem:v:10:y:2007:i:3:p:253-267
    DOI: 10.1007/s10729-007-9018-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10729-007-9018-7
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10729-007-9018-7?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. Schweikhart, Sharon Bergman & Smith-Daniels, Vicki L., 1993. "Location and service mix decisions for a managed health care network," Socio-Economic Planning Sciences, Elsevier, vol. 27(4), pages 289-302, December.
    2. Koksalan, Murat & Sural, Haldun & Kirca, Omer, 1995. "A location-distribution application for a beer company," European Journal of Operational Research, Elsevier, vol. 80(1), pages 16-24, January.
    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. Pablo Santibáñez & Georgia Bekiou & Kenneth Yip, 2009. "Fraser Health Uses Mathematical Programming to Plan Its Inpatient Hospital Network," Interfaces, INFORMS, vol. 39(3), pages 196-208, June.
    2. Sagarkumar Hirpara & Monit Vaishnav & Pratik J. Parikh & Nan Kong & Priti Parikh, 2022. "Locating trauma centers considering patient safety," Health Care Management Science, Springer, vol. 25(2), pages 291-310, June.
    3. Rodolfo Mendoza-Gómez & Roger Z. Ríos-Mercado & Karla B. Valenzuela-Ocaña, 2019. "An Efficient Decision-Making Approach for the Planning of Diagnostic Services in a Segmented Healthcare System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1631-1665, September.
    4. Navneet Vidyarthi & Onur Kuzgunkaya, 2015. "The impact of directed choice on the design of preventive healthcare facility network under congestion," Health Care Management Science, Springer, vol. 18(4), pages 459-474, December.
    5. Liu, Shaonan & Kong, Nan & Parikh, Pratik & Wang, Mingzheng, 2023. "Optimal trauma care network redesign with government subsidy: A bilevel integer programming approach," Omega, Elsevier, vol. 119(C).
    6. Andrés Miniguano-Trujillo & Fernanda Salazar & Ramiro Torres & Patricio Arias & Koraima Sotomayor, 2021. "An integer programming model to assign patients based on mental health impact for tele-psychotherapy intervention during the Covid–19 emergency," Health Care Management Science, Springer, vol. 24(2), pages 286-304, June.
    7. Benneyan, James C. & Musdal, Hande & Ceyhan, Mehmet Erkan & Shiner, Brian & Watts, Bradley V., 2012. "Specialty care single and multi-period location–allocation models within the Veterans Health Administration," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 136-148.

    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. Syam, Siddhartha S. & Côté, Murray J., 2010. "A location-allocation model for service providers with application to not-for-profit health care organizations," Omega, Elsevier, vol. 38(3-4), pages 157-166, June.
    2. Wang, Shaojun & Sarker, Bhaba R. & Mann, Lawrence & Triantaphyllou, Evangelos, 2004. "Resource planning and a depot location model for electric power restoration," European Journal of Operational Research, Elsevier, vol. 155(1), pages 22-43, May.
    3. Navneet Vidyarthi & Onur Kuzgunkaya, 2015. "The impact of directed choice on the design of preventive healthcare facility network under congestion," Health Care Management Science, Springer, vol. 18(4), pages 459-474, December.
    4. Zhengna Song & Tinggan Yan & Yunjian Ge, 2018. "Spatial Equilibrium Allocation of Urban Large Public General Hospitals Based on the Welfare Maximization Principle: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    5. Mina, Hokey & Jayaraman, Vaidyanathan & Srivastava, Rajesh, 1998. "Combined location-routing problems: A synthesis and future research directions," European Journal of Operational Research, Elsevier, vol. 108(1), pages 1-15, July.
    6. Amir Ahmadi-Javid & Mohammadreza Fathi, 2022. "Design of multi-service systems with facilities functioning as open Jackson queueing networks: application to online shopping stores," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1255-1286, December.

    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:kap:hcarem:v:10:y:2007:i:3:p:253-267. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.