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Identifying Factors That May Influence Decision-Making Related to the Distribution of Patients During a Mass Casualty Incident

Published online by Cambridge University Press:  18 September 2017

Trevor NT Hall*
Affiliation:
Humber River Hospital, Department of Quality and Patient Safety, Toronto, Ontario, Canada
Andrew McDonald
Affiliation:
Sunnybrook Health Sciences Center, Department of Emergency Services, Trauma, Emergency and Critical Care Program and University of Toronto, Toronto, Ontario, Canada
Kobi Peleg
Affiliation:
The Gertner Institute for Epidemiology and Health Policy Research, National Center for Trauma and Emergency Medicine Research, Tel-Hashomer, Israel, and The Disaster Medicine Department & The Executive Master Programs for Emergency and Disaster Management, Faculty of Medicine, School of Public Health, Tel-Aviv University, Tel-Aviv, Israel
*
Correspondence and reprint requests to Trevor NT Hall, MSc, 1235 Wilson Ave, Toronto, Ontario, M3M 0B2, Canada (e-mail: [email protected]).

Abstract

Objective

We aimed to identify and seek agreement on factors that may influence decision-making related to the distribution of patients during a mass casualty incident.

Methods

A qualitative thematic analysis of a literature review identified 56 unique factors related to the distribution of patients in a mass casualty incident. A modified Delphi study was conducted and used purposive sampling to identify peer reviewers that had either (1) a peer-reviewed publication within the area of disaster management or (2) disaster management experience. In round one, peer reviewers ranked the 56 factors and identified an additional 8 factors that resulted in 64 factors being ranked during the two-round Delphi study. The criteria for agreement were defined as a median score greater than or equal to 7 (on a 9-point Likert scale) and a percentage distribution of 75% or greater of ratings being in the highest tertile.

Results

Fifty-four disaster management peer reviewers, with hospital and prehospital practice settings most represented, assessed a total of 64 factors, of which 29 factors (45%) met the criteria for agreement.

Conclusions

Agreement from this formative study suggests that certain factors are influential to decision-making related to the distribution of patients during a mass casualty incident. (Disaster Med Public Health Preparedness. 2018;12:101–108)

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2017 

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References

1. Peleg, K, Kellerman, AL. Enhancing hospital surge capacity for mass casualty events. JAMA. 2009;302(5):565-567. https://doi.org/10.1001/jama.2009.1119.Google Scholar
2. Timbie, JW, Ringel, JS, Fox, DS, et al. Systematic review of strategies to manage and allocate scare resources during mass casualty events. Ann Emerg Med. 2013;61(6):677-689.e101. https://doi.org/10.1016/j.annemergmed.2013.02.005.CrossRefGoogle Scholar
3. Peleg, K, Michaelson, M, Shapira, SC, et al. Principles of emergency management in disasters. Adv Ren Replace Ther. 2003;10(2):117-121. https://doi.org/10.1053/jarr.2003.50019.Google Scholar
4. Mackaway-Jones, K. ed. Major Incident Medical Management and Support: The Practical Approach at the Scene, 3rd ed. Chichester, UK: Wiley-Blackwell Publishing Ltd; 2012:3-172.Google Scholar
5. Hodgkinson, GP, Starbuck, WH. eds. The Oxford Handbook of Organizational Decision Making. Oxford, UK: Oxford University Press; 2009:1-620.Google Scholar
6. Klein, G. Naturalistic decision making. Hum Factors. 2008;50(3):456-460. https://doi.org/10.1518/001872008X288385.CrossRefGoogle ScholarPubMed
7. Djalali, A, Castren, M, Hosseinijenab, V, et al. Hospital incident command system (HICS) performance in Iran: decision making during disasters. Scand J Trauma Resusc Emerg Med. 2012;20(1):14. https://doi.org/10.1186/1757-7241-20-14.CrossRefGoogle ScholarPubMed
8. Glick, JA, Barbara, JA. Moving from situational awareness to decisions during disaster response: transition to decision making. J Emerg Manag. 2013;11(6):423-432. https://doi.org/10.5055/jem.2013.0155.CrossRefGoogle ScholarPubMed
9. Huder, RC. ed.. Disaster Operations and Decision Making. Hoboken, New Jersey: John Wiley and Sons; 2012:1-372. https://doi.org/10.1002/9781118178539.Google Scholar
10. Kapucu, N, Garayev, V. Collaborative decision-making in emergency and disaster management. Int J Public Adm. 2011;34(6):366-375. https://doi.org/10.1080/01900692.2011.561477.Google Scholar
11. McLennan, J, Holgate, AM, Omodei, MM, et al. Decision making effectiveness in wildfire incident management teams. J Contingencies Crisis Manage. 2006;14(1):27-37. https://doi.org/10.1111/j.1468-5973.2006.00478.x.Google Scholar
12. Amram, O, Schuurman, N, Hameed, SM. Mass casualty modeling: a spatial tool to support triage decision making. Int J Health Geogr. 2011;10(1):40. https://doi.org/10.1186/1476-072X-10-40.Google Scholar
13. Amram, O, Schuurman, N, Hedley, N, et al. A web-based model to support patient-to-hospital allocation in mass casualty incidents. J Trauma Acute Care Surg. 2012;72(5):1323-1328. https://doi.org/10.1097/TA.0b013e318246e879.Google Scholar
14. Cotta, C. Effective patient prioritization in mass casualty incidents using hyperheuristics and the pilot method. OR-Spectrum. 2011;33(3):699-720. https://doi.org/10.1007/s00291-011-0238-3.Google Scholar
15. Herring, WL. Prioritizing patients: stochastic dynamic programming for surgery scheduling and mass casualty incident triage. [doctoral dissertation]. College Park, MD: University of Maryland; 2011; Order no. 3461529.Google Scholar
16. Kanter, RK. Strategies to improve pediatric disaster surge response: potential mortality reduction and tradeoffs. Crit Care Med. 2007;35(12):2837-2842. https://doi.org/10.1097/01.CCM.0000287579.10746.43.Google Scholar
17. Kanter, RK, Moran, JR. Pediatric hospital and intensive care unit capacity in regional disasters: expanding capacity by altering standards of care. Pediatrics. 2007;119(1):94-100. https://doi.org/10.1542/peds.2006-1586.Google Scholar
18. Levi, L, Bregman, D. Simulation and management games for training command and control in emergencies. Stud Health Technol Inform. 2003;95:783-787.Google Scholar
19. Levi, L, Bregman, D, Geva, H, et al. Hospital disaster management simulation system. Prehosp Disaster Med. 1998;13(01):22-27. https://doi.org/10.1017/S1049023X00032994.Google Scholar
20. Levi, L, Bregman, D, Geva, H, et al. Does number of beds reflect the surgical capability of hospitals in wartime and disaster? The use of a simulation technique at a national level. Prehosp Disaster Med. 1997;12(04):67-71. https://doi.org/10.1017/S1049023X00037845.Google Scholar
21. Mills, AF, Argon, NT, Ziya, S. Resource-based patient prioritization in mass-casualty incidents. Manuf Serv Oper Manag. 2013;15(3):361-377. https://doi.org/10.1287/msom.1120.0426.CrossRefGoogle Scholar
22. Rauner, MS, Schaffhauser-Linzatti, MM, Niessner, H. Resource planning for ambulance services in mass casualty incidents: a DES-based policy model. Health Care Manage Sci. 2012;15(3):254-269. https://doi.org/10.1007/s10729-012-9198-7.Google Scholar
23. Zuerlein, SA. Predicting the medical management requirements of large scale mass casualty events using computer simulation. [doctoral dissertation]. Tampa, FL: University of South Florida; 2009; Order no. 3394197.Google Scholar
24. Keeney, S, Hasson, F, McKenna, H. eds. The Delphi technique in nursing and health research. Chichester, UK: Wiley-Blackwell Publishing Ltd; 2011:1-150. https://doi.org/10.1002/9781444392029.Google Scholar
25. Keeney, S, Hasson, F, McKenna, H. Consulting the oracle: ten lessons from using the Delphi technique in nursing research. J Adv Nurs. 2006;53(2):205-212. https://doi.org/10.1111/j.1365-2648.2006.03716.x.CrossRefGoogle ScholarPubMed
26. Abend, M, Bubke, O, Hotop, S, et al. Estimating medical resources required following a nuclear event. Comput Biol Med. 1999;29(6):407-421. https://doi.org/10.1016/S0010-4825(99)00015-3.Google Scholar
27. Adini, B, Goldberg, A, Laor, D, et al. Factors that may influence the preparation of standards of procedures for dealing with mass casualty incidents. Prehosp Disaster Med. 2007;22(3):175-180. https://doi.org/10.1017/S1049023X00004611.CrossRefGoogle ScholarPubMed
28. Agiv-Berland, A, Ashkenazi, I, Aharonson-Daniel, L. The cross-national adaptability of EMS protocols for mass casualty incidents. J Homel Secur Emerg Manage. 2012;9(2):1-13. https://doi.org/10.1515/1547-7355.2036.Google Scholar
29. Assa, A, Landau, DA, Barenboim, E, et al. Role of air-medical evacuation in mass-casualty incidents - a train collision experience. Prehosp Disaster Med. 2009;24(3):271-276. https://doi.org/10.1017/S1049023X00006920.Google Scholar
30. Bar-Joseph, G, Michaelson, M, Halberthal, M. Managing mass casualties. Curr Opin Anaesthesiol. 2003;16(2):193-199. https://doi.org/10.1097/00001503-200304000-00013.CrossRefGoogle ScholarPubMed
31. Bayram, JD, Zuabi, S, Subbarao, I. Disaster metrics: quantitative benchmarking of hospital surge capacity in trauma-related multiple casualty events. Disaster Med Public Health Prep. 2011;5(2):117-124. https://doi.org/10.1001/dmp.2010.19.CrossRefGoogle ScholarPubMed
32. Bloch, YH, Schwartz, D, Pinkert, M, et al. Distribution of casualties in a mass-casualty incident with three local hospitals in the periphery of a densely populated area: lessons learned from the medical management of a terrorist attack. Prehosp Disaster Med. 2007;22(3):186-192. https://doi.org/10.1017/S1049023X00004635.Google Scholar
33. Bloch, YH, Leiba, A, Veaacnin, N, et al. Managing mild casualties in mass-casualty incidents: lessons learned from an aborted terrorist attack. Prehosp Disaster Med. 2007;22(3):181-185. https://doi.org/10.1017/S1049023X00004623.CrossRefGoogle ScholarPubMed
34. Born, CT, Briggs, SM, Ciraulo, DL, et al. Disaster and mass casualties: I. General principles of response and management. J Am Acad Orthop Surg. 2007;15(7):388-396. https://doi.org/10.5435/00124635-200707000-00004.CrossRefGoogle ScholarPubMed
35. Brandeau, ML, McCoy, JH, Hupert, N, et al. Recommendations for modeling disaster responses in public health medicine: a position paper of the society for medical decision making. Med Decis Making. 2009;29(4):438-460. https://doi.org/10.1177/0272989X09340346.Google Scholar
36. Busby, S, Witucki-Brown, J. Theory development for situational awareness in multi-casualty incidents. J Emerg Nurs. 2011;37(5):444-452. https://doi.org/10.1016/j.jen.2010.07.023.Google Scholar
37. Cao, H, Huang, S. Principles of scarce medical resource allocation in natural disaster relief: a simulation approach. Med Decis Making. 2012;32(3):470-476. https://doi.org/10.1177/0272989X12437247.Google Scholar
38. Carresi, AL. The 2004 Madrid train bombings: an analysis of pre-hospital management. Disasters. 2008;32(1):41-65. https://doi.org/10.1111/j.1467-7717.2007.01026.x.CrossRefGoogle ScholarPubMed
39. Challen, K, Bentley, A, Bright, J, et al. Clinical review: mass casualty triage - pandemic influenza and critical care. Crit Care. 2007;11(2):212. https://doi.org/10.1186/cc5732.CrossRefGoogle ScholarPubMed
40. Christie, PM, Levary, RR. The use of simulation in planning the transportation of patients to hospitals following a disaster. J Med Syst. 1998;22(5):289-300. https://doi.org/10.1023/A:1020521909778.Google Scholar
41. Culley, JM, Effken, JA. Development and validation of a mass casualty conceptual model. J Nurs Scholarsh. 2010;42(1):66-75. https://doi.org/10.1111/j.1547-5069.2009.01320.x.Google Scholar
42. Pelfrey, WV. The cycle of preparedness: establishing a framework to prepare for terrorist threats. J Homel Secur Emerg Manage. 2005;2(1):121. https://doi.org/10.2202/1547-7355.1081.Google Scholar
43. Ficke, J, Johnson, A, Hsu, J. Organization of urgent medical aid, including mass casualty and triage. In Lerner A, Soudry M, eds. Armed Conflict Injuries to the Extremities. New York, NY: Springer Berlin Heidelberg; 2011:1-20. https://doi.org/10.1007/978-3-642-16155-1_1.Google Scholar
44. Fischer, P, Kabir, K, Weber, O, et al. Preparedness of German paramedics and emergency physicians for a mass casualty incident: a national survey. Eur J Trauma Emerg Surg. 2008;34(5):443-450. https://doi.org/10.1007/s00068-008-8803-4.Google Scholar
45. Frykberg, ER. Disaster and mass casualty management. In Britt LD, Trunkey DD, Feliciano DV, eds. Acute Care Surgery. New York, NY: Springer; 2007:229-248. https://doi.org/10.1007/978-0-387-69012-4_16.Google Scholar
46. Hirshberg, A, Holcomb, JB, Mattox, KL. Hospital trauma care in multiple-casualty incidents: a critical review. Ann Emerg Med. 2001;37(6):647-652. https://doi.org/10.1067/mem.2001.115650.Google Scholar
47. Hirshberg, A, Stein, M, Walden, R. Surgical resource utilization in urban terrorist bombings: a computer simulation. J Trauma. 1999;47(3):545-550. https://doi.org/10.1097/00005373-199909000-00020.Google Scholar
48. Hupert, N, Mushlin, A, Callahan, M. Modeling the public health response to bioterrorism: using discrete event simulation to design antibiotic distribution centers. Med Decis Making. 2002;22(1 suppl):S17-S25. https://doi.org/10.1177/027298902237709.Google Scholar
49. Hupert, N, Wattson, D, Cuomo, J, et al. Predicting hospital surge after a large-scale anthrax attack: a model-based analysis of CDC’s cities readiness initiative prophylaxis recommendations. Med Decis Making. 2009;29(4):424-437. https://doi.org/10.1177/0272989X09341389.Google Scholar
50. Kelen, GD, McCarthy, ML. The science of surge. Acad Emerg Med. 2006;13(11):1089-1094. https://doi.org/10.1111/j.1553-2712.2006.tb01627.x.Google Scholar
51. Kuisma, M, Hiltunen, T, Maatta, T, et al. Analysis of multiple casualty incidents - a prospective cohort study. Acta Anaesthesiol Scand. 2005;49(10):1527-1533. https://doi.org/10.1111/j.1399-6576.2005.00761.x.Google Scholar
52. Mackway-Jones, K, Carley, S. An international expert Delphi study to determine research needs in major incident management. Prehosp Disaster Med. 2012;27(4):351-358. https://doi.org/10.1017/S1049023X12000982.CrossRefGoogle ScholarPubMed
53. Murray, V, Goodfellow, F. Mass casualty chemical incidents - towards guidance for public health management. Public Health. 2002;116(1):2-14. https://doi.org/10.1016/S0033-3506(02)90053-3.Google Scholar
54. Peleg, K, Kreiss, Y, Ash, N, et al. Optimizing medical response to large-scale disasters: the ad hoc collaborative health care system. Ann Surg. 2011;253(2):421-423. https://doi.org/10.1097/SLA.0b013e318206bedf.Google Scholar
55. Phelps, S. Mission failure: emergency medical services response to chemical, biological, radiological, nuclear, and explosive events. Prehosp Disaster Med. 2007;22(4):293-296. https://doi.org/10.1017/S1049023X00004891.CrossRefGoogle ScholarPubMed
56. Reilly, MJ, Markenson, D, DiMaggio, C. Comfort level of emergency medical services providers in responding to weapons of mass destruction events: impact of training and equipment. Prehosp Disaster Med. 2007;22(4):297-303. https://doi.org/10.1017/S1049023X00004908.Google Scholar
57. Sanders, GD. Modeling bioterrorism and disaster preparedness: SMDMs recommendations for design and reporting. Med Decis Making. 2009;29(4):412-413. https://doi.org/10.1177/0272989X09341971.Google Scholar
58. Sasser, SM, Hunt, RC, Faul, M, et al; Centers for Disease Control and Prevention (CDC). Guidelines for field triage of injured patients: recommendations of the national expert panel on field triage, 2011. MMWR Recomm Rep. 2012;61(RR-1):1-20.Google Scholar
59. Watson, SK, Rudge, JW, Coker, R. Health systems’ “surge capacity”: state of the art and priorities for future research. Milbank Q. 2013;91(1):78-122. https://doi.org/10.1111/milq.12003.CrossRefGoogle ScholarPubMed
60. Welling, L, Boers, M, Mackie, DP, et al. A consensus process on management of major burns accidents. Lessons learned from the café fire in Volendam, The Netherlands. J Health Organ Manag. 2006;20(2-3):243-252. https://doi.org/10.1108/14777260610662762.Google Scholar
61. Association for Professionals in Infection Control and Epidemiology. Mass casualty disaster plan checklist: a template for healthcare facilities. http://bioterrorism.slu.edu/bt/quick/disasterplan.pdf. Published 2001. Accessed July 7, 2013.Google Scholar
62. Federal Emergency Management Agency USA Fire Administration. EMS Safety - Techniques and Applications. http://www.naemt.org/Libraries/Education%20Documents/03.14.12_Safety_EMS%20Responder%20Safety%20-%20USFA.sflb. Published 1994. Accessed July 14, 2013.Google Scholar
63. Institute of Medicine. Crisis standards of care: a systems framework for catastrophic disaster response. http://www.nap.edu/catalog.php?record_id=13351. Published 2012. Accessed July 7, 2013.Google Scholar
64. Institute of Medicine. Guidance for establishing crisis standards of care for use in disaster situations: a letter report. http://www.nap.edu/catalog.php?record_id=12749. Published 2009. Accessed July 7, 2013.Google Scholar
65. Major Incident Plans. Patient.co.uk website. http://www.patient.co.uk/doctor/Major-Incident-Plans.htm. Published 2011. Accessed July 7, 2013.Google Scholar
66. Many factors contribute to the successful management of a mass casualty incident – providers should be prepared to handle a variety of “MCI magnifiers”. JEMS website. http://www.jems.com/article/major-incidents/many-factors-contribute-successful-manag. Accessed May 20, 2013.Google Scholar
67. Mass casualty incident preparedness (MCI): lesson's learned from Israeli preparedness and surge response for MCI. CAEP website. http://caep.ca/sites/default/files/caep/files/caep_2012_1.pdf. Accessed May 13, 2013.Google Scholar
68. Nilsson, H. Demand for rapid and accurate regional medical response at major incidents. [doctoral dissertation]. Linköping, Sweden: Linköping University; 2012; Medical Dissertations no. 1350.Google Scholar
69. US Department of Health and Human Services. Medical surge capacity and capability: a management system for integrating medical and health resources during large-scale emergencies. http://www.phe.gov/preparedness/planning/mscc/handbook/documents/mscc080626.pdf. Published 2007. Accessed July 14, 2013.Google Scholar
70. World Health Organization. Field manual for capacity assessment of health facilities in responding to emergencies. http://www.wpro.who.int/publications/docs/who_fieldmanual_r1.pdf. Published 2006. Accessed July 7, 2013.Google Scholar
71. World Health Organization. Hospital emergency response checklist - an all hazards tool for hospital administrators and emergency managers. http://www.euro.who.int/__data/assets/pdf_file/0020/148214/e95978.pdf. Published 2011. Accessed July 13, 2013.Google Scholar
72. World Health Organization. Mass casualty management systems - strategies and guidelines for building health sector capacity. http://www.who.int/hac/techguidance/MCM_guidelines_inside_final.pdf. Published 2007. Accessed July 7, 2013.Google Scholar
73. Ryan, GW, Bernard, HR. Techniques to identify themes. Field Methods. 2003;15(1):85-109. https://doi.org/10.1177/1525822X02239569.Google Scholar
74. Survey Monkey website. https://www.surveymonkey.com/. Accessed September 1-December 1, 2013.Google Scholar
75. Boulkedid, R, Abdoul, H, Loustau, M, et al. Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PLoS One. 2011;6(6):e20476. https://doi.org/10.1371/journal.pone.0020476.Google Scholar
76. Campbell, SM, Cantrill, JA, Roberts, D. Prescribing indicators for UK general practice: Delphi consultation study. BMJ. 2000;321(7258):425-428. https://doi.org/10.1136/bmj.321.7258.425.Google Scholar
77. Alahlafi, A, Burge, S. What should undergraduate medical students know about psoriasis? Involving patients in curriculum development: modified Delphi technique. BMJ. 2005;330(7492):633-636. https://doi.org/10.1136/bmj.330.7492.633.Google Scholar
78. Wilson, TD, Houston, CE, Etling, KM, et al. A new look at anchoring effects: basic anchoring and its antecedents. J Exp Psychol Gen. 1996;125(4):387-402. https://doi.org/10.1037/0096-3445.125.4.387.Google Scholar
79. Van de Walle, B, Turoff, M. Decision support for emergency situations. Inf Syst E-Bus Manag. 2008;6(3):295-316. https://doi.org/10.1007/s10257-008-0087-z.Google Scholar
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