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Can More Be Done to Reduce Firefighter Injury?

  • Bill GoughEmail author
Chapter

Abstract

This chapter explores the ‘Moment of Choice’—the moment of firefighter decision-making in action. A Human Factors analysis of firefighter injury sustained during emergency response operations is presented, based on evidence provided by English Fire Services throughout 2015. The findings presented establish that competent, professional, and experienced firefighters are more likely to be injured in the operational domain of the Fire Service, some on repeated occasions. For the most part, firefighters will be injured in the relatively inert environmental conditions of the daytime hours. The majority of injuries will be associated with fires but not directly with firefighting or search and rescue. In addition, for the first time, a Human Factors analysis shows that injury is likely to result from the attention failures of automated behaviour and mistakes in task activity. The implications of using Human Factors analysis for error management and injury reduction in Fire Services is re-evaluated based upon insights presented.

References

  1. Bain, G. (2002, December). The future of the fire service: Reducing risk, saving lives. The Independent Review of the Fire Service. Office of the Deputy Prime Minister.Google Scholar
  2. Baron, J. (2004). Normative models of judgement and decision making. In D. J. Koehler & N. Harvey (Eds.), Blackwell handbook of judgement and decision making (pp. 19–36). London: Blackwell.Google Scholar
  3. Bayer, J. R. (2010). A theory of emergency services command staffs sensemaking. Ph.D. thesis, Cranfield University School of Applied Sciences [Downloaded from British Library Ethos February 2015].Google Scholar
  4. BBC. (2011, March 1). Brian Sweeney interview. http://www.bbc.co.uk/news/mobile/uk-scotland-glasgow-west-12610863. Last Accessed 20 October 2016.
  5. BBC. (2015). Fireman Paul Keenor killed responding to false alarm call. http://www.bbc.co.uk/news/uk-england-sussex-33761300. Accessed 30 December 2016.
  6. Bearman, C., & Bremner, P. A. (2013). A day in the life of a volunteer incident commander: Errors, pressures and mitigating strategies. Applied Ergonomics, 44, 488–495.  https://doi.org/10.1016/j.apergo.2012.10.011 [Downloaded 24 November 2015].CrossRefGoogle Scholar
  7. Calderwood, R., Crandall, B. W., & Baynes, T. H. (1990). Protocol analysis of expert/novice command decision making during simulated fire ground incidents. Alexandria, VA: Klein Associates Inc., U.S. Army Research Institute for the Behavioral and Social Sciences.Google Scholar
  8. Calderwood, R., Crandall, B. W., & Klein, G. A. (1987). Expert and novice fireground command decisions (Contract MDA903-85-C-0327 for the U.S. Army Research Institute, Alexandria, VA). Yellow Springs, OH: Klein Associates Inc.Google Scholar
  9. Cohen-Hatton, S. R., Butler, P. C., & Honey, R. C. (2015). An investigation of operational decision making in situ: Incident command in the UK fire and rescue service. On-line Research Cardiff University, Human Factors File [Downloaded December 2015].Google Scholar
  10. Crandall, B., Klein, G., & Hoffman, R. R. (2006). Working minds: A practitioner’s guide to cognitive task analysis. Cambridge, MA: Bradford.Google Scholar
  11. Dane, E., Rockmann, K. W., & Pratt, M. G. (2012). When should I trust my gut? Linking domain experience to intuitive decision-making effectiveness. Organisational Behaviour and Human Decision Processes.  https://doi.org/10.1016/j.obhdp.2012.07.009 [Downloaded December 2015].CrossRefGoogle Scholar
  12. Edgar, G., Catherwood, D., Sallis, G., Brookes, D., & Medley, A. (2012). “I always know what’s going on.” Assessing the relationship between perceived and actual situation awareness across different scenarios. Engineering and Technology, World Academy of Science, 71, 1480–1481 [Downloaded from Research Gate December 2015].Google Scholar
  13. Endsley, M. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, Human Factors and Ergonomics Society.  https://doi.org/10.1518/001872095779049543 [Downloaded December 2015].CrossRefGoogle Scholar
  14. Endsley, M. R. (2015). Situation awareness misconceptions and misunderstandings. Journal of Cognitive engineering and Decision Making, 9(1), 101–111.  https://doi.org/10.1177/1555343415573911 [Downloaded December 2015].CrossRefGoogle Scholar
  15. Endsley, M. R., & Garland, D. J. (2008). Situation awareness analysis and measurement. NJ: CRC Press.Google Scholar
  16. Endsley, M. R., & Jones, D. G. (2012). Designing for situation awareness: An approach to user centred design. Boca Raton: CRC Press.Google Scholar
  17. Eyre, A. (2014). The making of a hero: An exploration of heroism in disasters and implications for the emergency services. International Fire Service Journal of Leadership and Management, 8, 7–16.Google Scholar
  18. Flach, J. M. (2015). Situation awareness: Context matters! A commentary on Endsley. Journal of Cognitive Engineering and Decision Making, 9(1), 59–72. Human Factors and Ergonomics Society.  https://doi.org/10.1177/1555343414561087 [Downloaded December 2015].CrossRefGoogle Scholar
  19. Flin, R., & Arbuthnot, K. (2002). Incident command tales from the hot seat. Aldershot: Ashgate.Google Scholar
  20. Flin, R., O’Connor, P., & Crichton, M. (2008). Safety at the sharp end: A guide to non-technical skills. Aldershot: Ashgate.Google Scholar
  21. Flin, R., Salas, E., Strub, M., & Martin, L. (1997). Decision making under stress: Emerging themes and applications. Aldershot: Ashgate.Google Scholar
  22. Glick-Smith, J. L. (2011). The path of the razor’s edge: An examination of the flow experiences of firefighters. California Institute of Integral Studies.Google Scholar
  23. Gnoni, M. G., & Lettera, G. (2012). Near-miss management systems: A methodological comparison. Journal of Loss Prevention in the Process Industries, 25, 609–616.Google Scholar
  24. Hardman, D. (2009). Judgement and decision making: Psychological perspectives. Chichester: Willey.Google Scholar
  25. HM Government. (2004). Fire and Rescue Services Act (Chapter 21). Available at http://www.legislation.gov.uk/ukpga/2004/21/pdfs/ukpga_20040021_en.pdf [Downloaded 8 June 2015].
  26. HM Government. (2005). The Regulatory Reform (Fire Safety) Order 2005. http://www.legislation.gov.uk/uksi/2005/1541/pdfs/uksi_20051541_en.pdf [Downloaded July 2016].
  27. HM Government. (2010). Fire and rescue operational statistics bulletin for England: 2010–11. Department for Communities and Local Government. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/6775/1971308.pdf [Downloaded 30 December 2011].
  28. HM Government. (2015). Fire and rescue operational statistics bulletin for England: 2014–15. Department for Communities and Local Government. www.gov.uk/government/publications/fire-and-rescue-authorities-in-england-operational-statistics-bulletin-for-2014-to-2015 [Downloaded 20 October 2015].
  29. HM Government. (2016). Fire statistics monitor: April 2015 to March 2016. Home Office Statistical Bulletin 09/16. https://www.gov.uk/government/statistics/fire-statistics-monitor-april-2015-to-march-2016 [Downloaded 14 October 2016].
  30. Home Office. (2017). Fire and rescue workforce and pensions statistics: England, April 2016 to March 2017. Statistical Bulletin 16/17 [26 October 2017].Google Scholar
  31. Home Office. (2018). Fire and rescue workforce and pensions statistics: England, April 2017 to March 2018. Statistical Bulletin 17/18 [6 February 2019].Google Scholar
  32. Kahneman, D., & Klein, G. (2009). Conditions for intuitive expertise. American Psychologist, American Psychological Association, 64(6), 515–526.  https://doi.org/10.1037/a0016755 [Downloaded December 2015].CrossRefGoogle Scholar
  33. Khanzode, V. V., Maiti, J., & Ray, P. K. (2012). Occupational injury and accident research: A comprehensive review. Safety Science, 50, 1355–1367.Google Scholar
  34. Klein, G. (1997). The current status of the naturalistic decision making framework. In R. Flin, E. Salas, M. Strub, & L. Martin (Eds.), Decision making under stress. Aldershot: Ashgate.Google Scholar
  35. Klein, G. (1999). Sources of power: How people make decisions. London: MIT Press.Google Scholar
  36. Klein, G. (2004). The power of intuition: How to use your gut feelings to make better decisions at work. New York: Currency Books.Google Scholar
  37. Klein, G. (2009). Streetlights and shadows: Searching for the keys to adaptive decision making. London: MIT Press.Google Scholar
  38. Klein, G. (2015). A naturalistic decision making perspective on studying intuitive decision making. Journal of Applied Research in Memory and Cognition, 164–168.  https://doi.org/10.1016/jarmac.2015.07.001.
  39. Klein, G., Calderwood, R., & Clinton-Cirocco, A. (2010). Rapid decision making on the fire ground: The original study plus postscript. Journal of Cognitive Engineering and Decision Making, 3, 186–209.  https://doi.org/10.1518/155534310x12844000801203 [Downloaded 3 December 2015].CrossRefGoogle Scholar
  40. Lamb, J. K., Davies, J., Bowley, R., & Williams, J. P. (2014). Incident command training: The introspect model. International Journal of Emergency Services, 3(2), 131–143.Google Scholar
  41. Leslie, D. J. (2011). Fatal accident inquiry into the death of Allison Hume. Determination by Sheriff Desmond J. Leslie, Esquire, Sheriff for North Strathclyde.Google Scholar
  42. Local Government Association. (2013, March). Fire future funding report. Local Government Association L13–131. London. http://www.local.gov.uk/c/document_library/get_file?uuid=c64aa469-96ff-47e0-8982-a94e3aaf80d6&groupId=10180. Accessed 20 October 2016.
  43. March, J. G. (1994). A primer on decision making: How decisions happen. New York: Free Press.Google Scholar
  44. National Operational Guidance. (2018). The foundation for incident command. Available at https://www.ukfrs.com/foundation-knowledge/foundation-incident-command [Downloaded April 2018].
  45. Nemeth, C., & Klein, G. (2010). The naturalistic decision making perspective. Wiley Encyclopaedia of Operations Research and Management Science, Wiley [Downloaded 3 December 2015].Google Scholar
  46. Perrow, C. (1999). Normal accidents. NJ: Princeton University Press.Google Scholar
  47. Polet, P., Vanderhaegan, F., & Wieringa, P. A. (2002). Theory of safety-related violations of system barriers. Cognition, Technology & Work, 4, 171–179 [Downloaded 17 March 2015].Google Scholar
  48. Pruitt, J. S., Cannon-Bowers, J. A., & Salas, E. (1997). In search of naturalistic decisions. In R. Flin, E. Salas, M. Strub, & L. Martin (Eds.), Decision making under stress. Aldershot: Ashgate.Google Scholar
  49. Rasmussen, J. (1983). Skills, rules, and knowledge; Signals, signs, and symbols, and other distinctions in human performance models. IEEE Transactions on Systems, Man, and Cybernetics, SMC-13(3), 257–266. Institute of Electrical and Electronic Engineers.  https://doi.org/10.1109/tsmc.1983.6313160 [5 August 2015].CrossRefGoogle Scholar
  50. Reason, J. (1990). Human error. Cambridge: Cambridge University Press.Google Scholar
  51. Reason, J. (1997). Managing the risks of organizational accidents. Aldershot: Ashgate Publishing.Google Scholar
  52. Reiman, T., & Rollenhagen, C. (2011). Human and organizational biases affecting the management of safety. Digital Open Access Repository, Reliability Engineering and System Safety, 96(10), 1263–1274.  https://doi.org/10.1016/j.ress.2011.05.010 [Downloaded 30 November 2015].CrossRefGoogle Scholar
  53. Sadler-Smith, E. (2016). “What happens when you intuit?”: Understanding human resource practitioners subjective experience of intuition through a novel linguistic method. University of Surrey, Surrey Research Insight Open Access. http://www.tavinstitute.org/humanrelations/index.h [Downloaded January 2016].
  54. Saleh, J. H., Marais, K. B., Bakolas, E., & Cowlagi, R. V. (2010). Highlights from the literature on accident causation and system safety: Review of major idea, recent contributions, and challenges. Reliability Engineering and System Safety, 95, 1105–1116 [30 March 2015].Google Scholar
  55. Stranks, J. (2007). Human factors and behavioural safety. Oxford: Butterworth-Heinemann.Google Scholar
  56. Strauch, B. (2004). Investigating human error: Incidents, accidents, and complex systems. Aldershot: Ashgate.Google Scholar
  57. Telegraph online 3 December 2012. Dozens of fire stations face closure. http://www.telegraph.co.uk/news/politics/9718079/Dozens-of-fire-stations-face-closure.html. Accessed 30 December 2016.
  58. Watterson, A. (2015). Firefighter fatalities at fires in the UK: 2004–2013: Voices from the fireground. Fire Brigades Union (FBU) (A. Watterson, Ed.). Scotland: University of Stirling.Google Scholar
  59. Weick, K. E. (1995). Sensemaking in organizations. London: Sage.Google Scholar
  60. Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (2005). Organizing and the process of sensemaking. Organization Science, 16(4), 409–421.  https://doi.org/10.1287/orsc.1050.0133. Accessed January 2016.
  61. Weigmann, D. A., & Shappell, S. A. (2003). A human error approach to aviation accident analysis; The human factors analysis and classification system. Surrey: Ashgate.Google Scholar
  62. Wickens, C. D. (2008). Situation awareness: Review of Mica Endsley’s 1995 articles on situation awareness theory and measurement. Human Factors, 50(3), 397–403. Human Factors and Ergonomics Society.  https://doi.org/10.1518/001872008x28840 [Downloaded December 2015].
  63. Zsambok, C. (1997). Naturalistic decision making: Where are we now? In C. E. Zsambok & G. Klein (Eds.), Naturalistic decision making. NJ: Lawrence Erlbaum Associates.Google Scholar
  64. Zsambok, C., & Klein, G. (1997). Naturalistic decision making. NJ: Lawrence Erlbaum Associates.Google Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  1. 1.School of Psychological, Social and Behavioural SciencesCoventry UniversityCoventryUK

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