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Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach

Author

Listed:
  • Heewon Chea

    (Department of Geography, University of Tennessee at Knoxville, 1000 Phillip Fulmer Way, Knoxville, TN 37996-0925, USA)

  • Hyun Kim

    (Department of Geography, University of Tennessee at Knoxville, 1000 Phillip Fulmer Way, Knoxville, TN 37996-0925, USA)

  • Shih-Lung Shaw

    (Department of Geography, University of Tennessee at Knoxville, 1000 Phillip Fulmer Way, Knoxville, TN 37996-0925, USA)

  • Yongwan Chun

    (Geospatial Information Sciences, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080-3021, USA)

Abstract

Motor vehicle accidents are one of the most prevalent causes of traumatic injury in patients needing transport to a trauma center. Arrival at a trauma center within an hour of the accident increases a patient’s chances of survival and recovery. However, not all vehicle accidents in Tennessee are accessible to a trauma center within an hour by ground transportation. This study uses the anti-covering location problem (ACLP) to assess the current placement of trauma centers and explore optimal placements based on the population distribution and spatial pattern of motor vehicle accidents in 2015 through 2019 in Tennessee. The ACLP models seek to offer a method of exploring feasible scenarios for locating trauma centers that intend to provide accessibility to patients in underserved areas who suffer trauma as a result of vehicle accidents. The proposed ACLP approach also seeks to adjust the locations of trauma centers to reduce areas with excessive service coverage while improving coverage for less accessible areas of demand. In this study, three models are prescribed for finding optimal locations for trauma centers: (a) TraCt: ACLP model with a geometric approach and weighted models of population, fatalities, and spatial fatality clusters of vehicle accidents; (b) TraCt-ESC: an extended ACLP model mitigating excessive service supply among trauma center candidates, while expanding services to less served areas for more beneficiaries using fewer facilities; and (c) TraCt-ESCr: another extended ACLP model exploring the optimal location of additional trauma centers.

Suggested Citation

  • Heewon Chea & Hyun Kim & Shih-Lung Shaw & Yongwan Chun, 2022. "Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach," IJERPH, MDPI, vol. 19(3), pages 1-21, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1459-:d:736264
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    References listed on IDEAS

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    1. Constantine Toregas & Ralph Swain & Charles ReVelle & Lawrence Bergman, 1971. "The Location of Emergency Service Facilities," Operations Research, INFORMS, vol. 19(6), pages 1363-1373, October.
    2. Roberto Aringhieri & Giuliana Carello & Daniela Morale, 2016. "Supporting decision making to improve the performance of an Italian Emergency Medical Service," Annals of Operations Research, Springer, vol. 236(1), pages 131-148, January.
    3. Roberto Aringhieri & Giuliana Carello & Daniela Morale, 2016. "Supporting decision making to improve the performance of an Italian Emergency Medical Service," Annals of Operations Research, Springer, vol. 236(1), pages 131-148, January.
    4. Mark S. Daskin & Edmund H. Stern, 1981. "A Hierarchical Objective Set Covering Model for Emergency Medical Service Vehicle Deployment," Transportation Science, INFORMS, vol. 15(2), pages 137-152, May.
    5. I. Douglas Moon & Sohail S. Chaudhry, 1984. "An Analysis of Network Location Problems with Distance Constraints," Management Science, INFORMS, vol. 30(3), pages 290-307, March.
    6. Leknes, Håkon & Aartun, Eirik Skorge & Andersson, Henrik & Christiansen, Marielle & Granberg, Tobias Andersson, 2017. "Strategic ambulance location for heterogeneous regions," European Journal of Operational Research, Elsevier, vol. 260(1), pages 122-133.
    7. Chaudhry, Sohail S & McCormick, S Thomas & Moon, I Douglas, 1986. "Locating independent facilities with maximum weight: Greedy heuristics," Omega, Elsevier, vol. 14(5), pages 383-389.
    8. Richard L. Church & Alan Murray, 2018. "Location Covering Models," Advances in Spatial Science, Springer, number 978-3-319-99846-6.
    9. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    10. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    11. Laura McLay, 2009. "A maximum expected covering location model with two types of servers," IISE Transactions, Taylor & Francis Journals, vol. 41(8), pages 730-741.
    12. Alan Murray & Hyun Kim, 2008. "Efficient identification of geographic restriction conditions in anti-covering location models using GIS," Letters in Spatial and Resource Sciences, Springer, vol. 1(2), pages 159-169, December.
    13. Knight, V.A. & Harper, P.R. & Smith, L., 2012. "Ambulance allocation for maximal survival with heterogeneous outcome measures," Omega, Elsevier, vol. 40(6), pages 918-926.
    14. Caldwell, J.T. & Ford, C.L. & Wallace, S.P. & Wang, M.C. & Takahashi, L.M., 2016. "Intersection of living in a rural versus urban area and race/ethnicity in explaining access to health care in the United States," American Journal of Public Health, American Public Health Association, vol. 106(8), pages 1463-1469.
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