Locating trauma centers considering patient safety.
Bi-objective optimization
Operations research in health services
Patient safety
Trauma center location
Journal
Health care management science
ISSN: 1572-9389
Titre abrégé: Health Care Manag Sci
Pays: Netherlands
ID NLM: 9815649
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
17
04
2020
accepted:
13
07
2021
pubmed:
14
1
2022
medline:
26
5
2022
entrez:
13
1
2022
Statut:
ppublish
Résumé
Trauma continues to be the leading cause of death and disability in the U.S. for those under the age of 44, making it a prominent public health problem. Recent literature suggests that geographical maldistribution of Trauma Centers (TCs), and the resultant increase of the access time to the nearest TC, could impact patient safety and increase disability or mortality. To address this issue, we introduce the Trauma Center Location Problem (TCLP) that determines the optimal number and location of TCs in order to improve patient safety. We model patient safety through a surrogate measure of mistriages, which refers to a mismatch in the injury severity of a trauma patient and the destination hospital. Our proposed bi-objective optimization model directly accounts for the two types of mistriages, system-related under-triage (srUT) and over-triage (srOT), both of which are estimated using a notional tasking algorithm. We propose a heuristic based on the Particle Swarm Optimization framework to efficiently derive a near-optimal solution to the TCLP for realistic problem sizes. Based on 2012 data from the state of Ohio, we observe that the solutions are sensitive to the choice of weights for srUT and srOT, volume requirements at a TC, and the two thresholds used to mimic EMS decisions. Using our approach to optimize that network resulted in over 31.5% reduction in the objective with only 1 additional TC; redistribution of the existing 21 TCs led to 30.4% reduction.
Identifiants
pubmed: 35025053
doi: 10.1007/s10729-021-09576-y
pii: 10.1007/s10729-021-09576-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
291-310Subventions
Organisme : United States National Science Foundation
ID : CMMI#2100979
Organisme : US National Science Foundation
ID : CMMI#1761022
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Références
Cho S, Jang H, Lee T, John T (2014) Simultaneous location of trauma centers and helicopters for emergency medical services. Oper Res 62(4):751–771
doi: 10.1287/opre.2014.1287
American College of Surgeons (2016) Strengthening Our National Trauma System. https://docs.house.gov/meetings/IF/IF14/20160712/105121/HHRG-114-IF14-20160712-SD005.pdf
Parikh PP, Parikh P, Guthrie B, Mamer L, Whitmill M, Erskine T, Woods R, Saxe J (2017) Impact of triage guidelines on prehospital triage: comparison of guidelines with a statistical model. J Surg Res 220:255–260
doi: 10.1016/j.jss.2017.06.084
Rotondo MF, Cribari C, Smith SR (2014) Resources for optimal care of the injured patient. Committee on Trauma, American College of Surgeons. Retrieved from https://www.facs.org/quality- programs/trauma/tqp/center-programs/vrc/resources
Branas CC, Wolff CS, Williams J, Margolis G, Carr BG (2013) Simulating changes to emergency care resources to compare system effectiveness. J Clin Epidemiol 66(8):S64
doi: 10.1016/j.jclinepi.2013.03.021
Jansen JO, Morrison JJ, Wang H, He S, Lawrenson R, Hutchison JD, Campbell MK (2015) Access to specialist care: optimizing the geographic configuration of trauma systems. J Trauma Acute Care Surg 79(5):756–765
doi: 10.1097/TA.0000000000000827
MacKenzie EJ, Rivara FP, Jurkovich GJ, Nathens AB, Frey KP, Egleston BL, Salkever DS, Scharfstein DO (2006) A national evaluation of the effect of trauma-center care on mortality. N Engl J Med 354(4):366–378
doi: 10.1056/NEJMsa052049
Branas CC, MacKenzie EJ, Williams JC, Schwab CW, Teter HM et al (2005) Access to trauma centers in the United States. JAMA 293(21):2626–2633
doi: 10.1001/jama.293.21.2626
Carr BG, Branas C (2010) Trauma center maps. University of Pennsylvania Cartographic Modeling Laboratory
Chen X, Guyette FX, Peitzman AB, Billiar TR, Sperry JL, Brown JB (2019) Identifying patients with time-sensitive injuries: association of mortality with increasing prehospital time. J Trauma Acute Care Surg 86(6):1015–1022
doi: 10.1097/TA.0000000000002251
Gauss T, Ageron FX, Devaud ML, Debaty G, Travers S, Garrigue D, Raux M, Harrois A, Bouzat P, Initiative FTR (2019) Association of prehospital time to in- hospital trauma mortality in a physician-staffed emergency medicine system. JAMA Surg 154(12):1117–1124. https://doi.org/10.1001/jamasurg.2019.3475
doi: 10.1001/jamasurg.2019.3475
Brown JB, Rosengart MR, Billiar TR, Peitzman AB, Sperry JL (2016b) Geographic distribution of trauma centers and injury-related mortality in the United States. J Trauma Acute Care Surg 80(1):42–50
doi: 10.1097/TA.0000000000000902
Newgard CD, Fu R, Zive D, Rea T et al (2016) Prospective validation of the national field triage guidelines for identifying seriously injured persons. J Am Coll Surg 222(2):158.e2
doi: 10.1016/j.jamcollsurg.2015.10.016
Lerner EB (2006) Studies evaluating current field triage: 1996-2005. Prehospital Emergency Care 10(3):303–306
doi: 10.1080/10903120600723921
Frykberg E (2002) Medical management of disasters and mass casualties from terrorist bombings: how can we cope? Journal of Trauma: Injury, Infection, and Critical Care 53(2):201–212
doi: 10.1097/00005373-200208000-00001
Armstrong JH, Hammond J, Hirshberg A, Frykberg ER (2008) Is overtriage associated with increased mortality? The evidence says “yes”. Disaster Med Public Health Prep 2(1):4–5
doi: 10.1097/DMP.0b013e31816476c0
Røislien J, van den Berg PL, Lindner T, Zakariassen E, Uleberg O, Aardal K, van Essen JT (2018) Comparing population and incident data for optimal air ambulance base locations in Norway. Scand J Trauma Resusc Emerg Med 26(1):42. https://doi.org/10.1186/s13049-018-0511-4
doi: 10.1186/s13049-018-0511-4
Cardoso T, Oliveira MD, Barbosa-Povoa A, Nickel S (2015) An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations. Eur J Oper Res 247(1):321–334
doi: 10.1016/j.ejor.2015.05.074
Çetin E, Sarul LS (2009) A blood bank location model: a multiobjective approach. Eur J Pure Appl Math 2(1):112 Retrieved from http://ezproxy.libraries.wright.edu/login?url=https://search-ebscohost- com.ezproxy.libraries.wright.edu/login.aspx?direct=true&db=msn&AN=MR2533779&site=eds-live
Caruso V, Daniele P (2018) A network model for minimizing the total organ transplant costs. Eur J Oper Res 266(2):652–662
doi: 10.1016/j.ejor.2017.09.040
Saveh-Shemshaki F, Shechter S, Tang P, Isaac-Renton J (2012) Setting sites for faster results: optimizing locations and capacities of new tuberculosis testing laboratories. IIE Transactions on Healthcare Systems Engineering 2(4):248–258
doi: 10.1080/19488300.2012.736119
Doerner K, Focke A, Gutjahr WJ (2007) Multicriteria tour planning for mobile healthcare facilities in a developing country. Eur J Oper Res 179:1078–1096
doi: 10.1016/j.ejor.2005.10.067
Reuter-Oppermann M, van den Berg PL, Vile JL (2017) Logistics for emergency medical service systems. Health Systems 6(3):187–208
doi: 10.1057/s41306-017-0023-x
Ahmadi-Javid A, Seyedi P, Syam SS (2017) A survey of healthcare facility location. Comput Oper Res 79:223–263
doi: 10.1016/j.cor.2016.05.018
Güneş ED, Melo T, Nickel S (2019) Location problems in healthcare. In: Laporte G, Nickel S, Saldanha da Gama F (eds) Location Science. Springer, Cham
Zahiri B, Tavakkoli-Moghaddam R, Pishvaee MS (2014) A robust possibilistic programming approach to multi-periodlocation–allocation of organ transplant centers under uncertainty. Comput Ind Eng 74:139–148
doi: 10.1016/j.cie.2014.05.008
Shishebori D, Babadi AY (2015) Robust and reliable medical services network design under uncertain environment and system disruptions. Transp Res 77:268–288
Côté M, Syam S, Vogel W, Cowper D (2007) A mixed integer programming model to locate traumatic brain injury treatment units in the department of veteran’s affairs: a case study. Health Care Manag Sci 10(3):253–267
doi: 10.1007/s10729-007-9018-7
Syam SS, Côté MJ (2010) A location–allocation model for service providers with application to not-for-profit health care organizations. Omega 38(3):157–166
doi: 10.1016/j.omega.2009.08.001
Cocking C, Flessa S, Reinelt G (2012) Improving access to health facilities in Nouna district, Burkina Faso. Socio Econ Plan Sci 46(2):164–172
doi: 10.1016/j.seps.2011.12.004
Beliën J, De Boeck L, Colpaert J, Devesse S, Van den Bossche F (2013) Optimizing the facility location design of organ transplant centers. Decis Support Syst 54(4):1568–1579
doi: 10.1016/j.dss.2012.05.059
Schmid V (2012) Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming. Eur J Oper Res 219(3):611–621
doi: 10.1016/j.ejor.2011.10.043
Toro-Díaz H, Mayorga ME, Chanta S, McLay LA (2013) Joint location and dispatching decisions for emergency medical services. Comput Ind Eng 64(4):917–928
doi: 10.1016/j.cie.2013.01.002
Bayram V, Tansel BÇ, Yaman H (2015) Compromising system and user interests in shelter location and evacuation planning. Transp Res B 72:146–163
doi: 10.1016/j.trb.2014.11.010
Chen Z, Chen X, Li Q, Chen J (2013) The temporal hierarchy of shelters: a hierarchical location model for earthquake-shelter planning. International Journal of Geographical Information Science. Abingdon: Taylor & Francis Group
Kim D, Kim Y (2013) A Lagrangian heuristic algorithm for a public healthcare facility location problem. Ann Oper Res 206(1):221–240
doi: 10.1007/s10479-013-1378-4
Shariff SSR, Moin NH, Omar M (2012) Location allocation modeling for healthcare facility planning in Malaysia. Comput Ind Eng 62(4):1000–1010
doi: 10.1016/j.cie.2011.12.026
Ingolfsson A, Budge S, Erkut E (2008) Optimal ambulance location with random delays and travel times. Health Care Manag Sci 11(3):262–274
doi: 10.1007/s10729-007-9048-1
Balcik B, Beamon BM (2008) Facility location in humanitarian relief. Int J Log Res Appl 11(2):101–121
doi: 10.1080/13675560701561789
Salman FS, Yücel E (2015) Emergency facility location under random network damage. Comput Oper Res 62:266–281
doi: 10.1016/j.cor.2014.07.015
Lim CS, Mamat R, Braunl T (2011) Impact of ambulance dispatch policies on performance of emergency medical services. IEEE Trans Intell Transp Syst 12(2):624–632
doi: 10.1109/TITS.2010.2101063
Marianov V, Taborga P (2001) Optimal location of public health centres which provide free and paid services. J Oper Res Soc 52(4):391–400
doi: 10.1057/palgrave.jors.2601103
Yasenovskiy V, Hodgson J (2007) Hierarchical location-allocation with spatial choice interaction modeling. Ann Assoc Am Geogr 97(3):496–511
doi: 10.1111/j.1467-8306.2007.00560.x
Teixeira JC, Antunes AP (2008) A hierarchical location model for public facility planning. Eur J Oper Res 185(1):92–104
doi: 10.1016/j.ejor.2006.12.027
Motallebi Nasrabadi A, Najafi M, Zolfagharinia H (2020) Considering short-term and long-term uncertainties in location and capacity planning of public healthcare facilities. Eur J Oper Res 281(1):152–173
doi: 10.1016/j.ejor.2019.08.014
Branas C, MacKenzie E, Revelle C (2000) A trauma resources allocation model for ambulances and hospitals. Health Serv Res 35(2):489–507
Wang H, Jin Y, Jansen JO (2016)Data-driven surrogate-assisted multiobjective evolutionary optimization of a trauma system. IEEE Trans Evol Comput 20(6):939–952
doi: 10.1109/TEVC.2016.2555315
Jansen JO, Moore EE, Wang H, Morrison JJ, Hutchison JD, Campbell MK, Sauaia A (2018) Maximizing geographical efficiency: an analysis of the configuration of Colorado’s trauma system. J Trauma Acute Care Surg 84(5):762–770
doi: 10.1097/TA.0000000000001802
American College of Surgeons Committee on Trauma (2015)Needs-Based Assessment of Trauma Systems (NBATS) tool. Retrieved from https://www.facs.org/quality-programs/trauma/tqp/systems-programs/tscp/nbats
Daskin MS (2013) Network and discrete location: models, algorithms, and applications, 2nd edn. John Wiley & Sons, New Jersey
Kennedy J, Eberhard RC (1995) Particle swarm optimization. Proceedings of the international conference on neural network, Perth, Australia, 1942–1984
Yapicioglu H, Smith AE, Dozier G (2007) Solving the semi-desirable facility location problem using bi-objective particle swarm. Eur J Oper Res 177(2):733–749
doi: 10.1016/j.ejor.2005.11.020
Latha Shankar B, Basavarajappa S, Chen JCH, Kadadevaramath RS (2013) Location and allocation decisions for multi-echelon supply chain network – a multi-objective evolutionary approach. Expert Syst Appl 40(2):551–562
doi: 10.1016/j.eswa.2012.07.065
Juang C-F(2004) A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Trans Syst Man Cybern B (Cybern) 34(2):997–1006
doi: 10.1109/TSMCB.2003.818557
Izquierdo J, Montalvo I, Pérez R, Fuertes VS (2008) Design optimization of wastewater collection networks by PSO. Comput Math Appl 56(3):777–784
doi: 10.1016/j.camwa.2008.02.007
Liu B, Wang L, Jin Y-H(2007) An effective PSO-based memetic algorithm for flow shop scheduling. IEEE Trans Syst Man Cybern B (Cybern) 37(1):18–27
doi: 10.1109/TSMCB.2006.883272
Liao C, Tseng C-T, Luarn P (2007) A discrete version of particle swarm optimization for flowshop scheduling problems. Comput Oper Res 34(10):3099–3111
doi: 10.1016/j.cor.2005.11.017
Clerc M, Kennedy J (2002) The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1):58–73
doi: 10.1109/4235.985692
Kennedy J, Eberhart RC (1997) A discrete binary version of the particle swarm algorithm. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, Orlando, FL
Khanesar MA, Teshnehlab M, Shoorehdeli MA (2007) A novel binary particle swarm optimization. Proceedings of the mediterranean conference on control & automation, 1-6
Ohio Department of Public Safety (2019) Ohio trauma registry annual report. https://www.ems.ohio.gov/links/2018_Annual_Trauma_Report_FNL.pdf
Brown JB, Gestring ML, Guyette FX, Rosengart MR, Stassen NA, Forsythe RM, Billiar TR, Peitzman AB, Sperry JL (2016a) Development and validation of the air medical prehospital triage score for helicopter transport of trauma patients. Ann Surg 264(2):378–385. https://doi.org/10.1097/SLA.0000000000001496
doi: 10.1097/SLA.0000000000001496