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Human Factors Applications of Simulation

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Comprehensive Healthcare Simulation: Improving Healthcare Systems

Part of the book series: Comprehensive Healthcare Simulation ((CHS))

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Abstract

Human Factors/Ergonomics (HF/E) is the scientific study of work systems and the interaction between elements of the system, with the aim of improving safety, well-being, and efficiency. Simulation in healthcare has evolved to focus on individual skills training and non-technical teamwork skills. Despite increasing acceptance of the complexity of healthcare systems, systems thinking has not yet been embedded fully into simulated practice. HF/E has knowledge, tools and methods that could be used to inform the design of simulated practice to include a systems approach. This would benefit the quality of healthcare systems by broadening the focus beyond skills training, to improving the design of simulation scenarios and debriefings, identifying, and informing system design improvements, and testing interventions.

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References

  1. Hignett S, Carayon P, Buckle P, Catchpole K. State of science: human factors and ergonomics in healthcare. Ergonomics. 2013;56:1491–503.

    PubMed  Google Scholar 

  2. International Ergonomics Association (IEA). Available from www.iea.cc/what-is-ergonomics. Accessed 1st Aug 2020.

  3. Carayon P, Wetterneck TB, Rivera-Rodriguez AJ, Hundt AS, Hoonakker P, Holden R, Gurses AP. Human factors systems approach to healthcare quality and patient safety. Appl Ergon. 2014;45:14–25.

    PubMed  Google Scholar 

  4. Holden RJ, Carayon P, Gurses AP, Hoonakker P, Hundt AS, Ozok AA, Rivera-Rodriguez AJ. SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients. Ergonomics. 2013;56:1669–86.

    PubMed  Google Scholar 

  5. Helmreich RL, Merritt AC, Wilhelm JA. The evolution of crew resource management training in commercial aviation. Int J Aviat Psychol. 1999;9(1):19–32.

    CAS  PubMed  Google Scholar 

  6. Flanagan B, Nestel D, Joseph M. Making patient safety the focus: crisis resource management in the undergraduate curriculum. Med. Ed. 2004;38:56–66.

    Google Scholar 

  7. Holzman RS, Cooper JB, Gaba DM, Philip JH, Small SD, Feinstem D. Anesthesia crisis resource management: real-life simulation training in operating room crises. J Clin Anesth. 1995;7:675–87.

    CAS  PubMed  Google Scholar 

  8. Association for Simulated Practice in Healthcare (ASPiH). Simulation-based education in Healthcare. Standards framework and guidance. 2016. Available from http://aspih.org.uk/wp-content/uploads/2017/07/standards-framework.pdf. Accessed 13th Aug 2020.

  9. Dieckmann P, Patterson M, Lahlou S, Mesman J, Nyström P, Krage R. Variation and adaptation: learning from success in patient safety-oriented simulation training. Adv Simul. 2017;2:21.

    Google Scholar 

  10. Hayden EM, Wong AH, Ackerman J, Sande MK, Lei C, Kobayashi L, Cassara M, Cooper DD, Perry K, Lewandowski WE, Scerbo MW. Human factors and simulation in emergency medicine. Acad Emerg Med. 2018;25(2):221–9.

    PubMed  Google Scholar 

  11. Braithwaite J, Wears RL, Hollnagel E. Resilient health care: turning patient safety on its head. IJQHC. 2015;27(5):418–20.

    Google Scholar 

  12. Anderson JE, Ross AJ, Back J, Duncan M, Snell P, Walsh K, Jaye P. Implementing resilience engineering for healthcare quality improvement using the CARE model: a feasibility study protocol. Pilot Feasibility Stud. 2016;2:61.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Anderson JE, Ross AJ, Back J, Duncan M, Snell P, Hopper A, Jaye P. Beyond ‘find and fix’: improving quality and safety through resilient healthcare systems. IJQHC. 2020;32(3):204–11.

    CAS  Google Scholar 

  14. Johnson JK, Miller SH, Horowitz SD. Systems-based practice: improving the safety and quality of patient care by recognizing and improving the systems in which we work. In: Advances in patient safety: new directions and alternative approaches, Culture and redesign, vol. 2: Agency for Healthcare Research and Quality (US); 2008.

    Google Scholar 

  15. Annett J, Stanton NA, editors. Task analysis: CRC Press; 2000.

    Google Scholar 

  16. Clark RE, Pugh CM, Yates KA, Inaba K, Green DJ, Sullivan ME. The use of cognitive task analysis to improve instructional descriptions of procedures. J Surg Res. 2012;173:e37–42.

    PubMed  Google Scholar 

  17. Russ AL, Militello LG, Glassman PA, Arthur KJ, Zillich AJ, Weiner M. Adapting cognitive task analysis to investigate clinical decision making and medication safety incidents. J Patient Saf. 2019;15:191–7.

    PubMed  Google Scholar 

  18. Löscher I, Lind T. Cognitive Work Analysis to support development of health IT in a complex organization. Appl Ergon. 2020;

    Google Scholar 

  19. Zestic J, Sanderson P, Dawson J, Liley H. Defining information needs in neonatal resuscitation with work domain analysis. J Clin Monit Comput. 2020;

    Google Scholar 

  20. Diaper D. Stanton N, editors. The handbook of task analysis for human-computer interaction: CRC Press; 2003.

    Google Scholar 

  21. Vanderhaegen F. Human-error-based design of barriers and analysis of their uses. Cogn Technol Work. 2010;12:133–42.

    Google Scholar 

  22. Shryane NM, Westerman SJ, Crawshaw CM, Hockey GR, Sauer J. Task analysis for the investigation of human error in safety-critical software design: a convergent methods approach. Ergonomics. 1998;41:1719–36.

    CAS  PubMed  Google Scholar 

  23. Guttman O, Keebler JR, Lazzara EH, Daniel W, Reed G. Rethinking high reliability in healthcare: the role of error management theory towards advancing high reliability organizing. J Patient Saf Risk Manag. 2019;24:127–33.

    Google Scholar 

  24. Sujan MA, Embrey D, Huang H. On the application of human reliability analysis in healthcare: opportunities and challenges. Reliab Eng Syst Safe. 2020;194:106189.

    Google Scholar 

  25. Jun GT, Ward J, Morris Z, Clarkson J. Health care process modelling: which method when? IJQHC. 2009;21:214–24.

    Google Scholar 

  26. Karsh BT, Alper SJ. Work system analysis: the key to understanding health care systems. Adv Patient Saf. 2005;2:337–48.

    Google Scholar 

  27. Naikar N, Moylan A, Pearce B. Analysing activity in complex systems with cognitive work analysis: concepts, guidelines and case study for control task analysis. Theor Issues Ergon Sci. 2006;7:371–94.

    Google Scholar 

  28. Sanderson PM. Cognitive work analysis. HCI models, theories, and frameworks: toward an interdisciplinary science. New York: Morgan-Kaufmann; 2003.

    Google Scholar 

  29. Chen PP, Tsui NT, Fung AS, Chiu AH, Wong WC, Leong HT, Lee PS, Lau JY. In-situ medical simulation for pre-implementation testing of clinical service in a regional hospital in Hong Kong. Hong Kong Med J. 2017;23(4):404–10.

    CAS  PubMed  Google Scholar 

  30. Marshall SD, Mehra R. The effects of a displayed cognitive aid on non-technical skills in a simulated ‘can’t intubate, can’t oxygenate’crisis. Anaesthesia. 2014;69:669–77.

    CAS  PubMed  Google Scholar 

  31. Hulme A, Stanton NA, Walker GH, Waterson P, Salmon PM. What do applications of systems thinking accident analysis methods tell us about accident causation? A systematic review of applications between 1990 and 2018. Saf Sci. 2019;117:164–83.

    Google Scholar 

  32. Goncalves Filho AP, Jun GT, Waterson P. Four studies, two methods, one accident–an examination of the reliability and validity of Accimap and STAMP for accident analysis. Saf Sci. 2019;113:310–7.

    Google Scholar 

  33. Haji FA, Khan R, Regehr G, Drake J, de Ribaupierre S, Dubrowski A. Measuring cognitive load during simulation-based psychomotor skills training: sensitivity of secondary-task performance and subjective ratings. Adv Health Sci Educ. 2015;20:1237–53.

    Google Scholar 

  34. Haji FA, Cheung JJ, Woods N, Regehr G, de Ribaupierre S, Dubrowski A. Thrive or overload? The effect of task complexity on novices’ simulation-based learning. Med Ed. 2016;50:955–68.

    Google Scholar 

  35. Smith D, Miller DG, Cukor J. Can simulation measure differences in task-switching ability between junior and senior emergency medicine residents? Western J Emerg Med. 2016;17:149.

    Google Scholar 

  36. McNeer RR, Bennett CL, Dudaryk R. Intraoperative noise increases perceived task load and fatigue in anesthesiology residents: a simulation-based study. Anesth Analg. 2016;122:512–25.

    CAS  PubMed  Google Scholar 

  37. Fernandez R, Compton S, Jones KA, Velilla MA. The presence of a family witness impacts physician performance during simulated medical codes. Crit Care Med. 2009;37:1956–60.

    PubMed  Google Scholar 

  38. Fernandez R, Shah S, Rosenman ED, Kozlowski SW, Parker SH, Grand JA. Developing team cognition: a role for simulation. Simul Healthc. 2017;12:96.

    PubMed  PubMed Central  Google Scholar 

  39. Smith MW, Bentley MA, Fernandez AR, Gibson G, Schweikhart SB, Woods DD. Performance of experienced versus less experienced paramedics in managing challenging scenarios: a cognitive task analysis study. Ann Emerg Med. 2013;62(4):367–79.

    PubMed  Google Scholar 

  40. Patterson MD, Blike GT, Nadkarni VM. In situ simulation: challenges and results. In: Advances in patient safety: new directions and alternative approaches, Performance and tools, vol. 3: Agency for Healthcare Research and Quality (US); 2008.

    Google Scholar 

  41. Patterson MD, Geis GL, Falcone RA, LeMaster T, Wears RL. In situ simulation: detection of safety threats and teamwork training in a high risk emergency department. BMJ Qual Saf. 2013;22:468–77.

    PubMed  Google Scholar 

  42. Sørensen JL, Østergaard D, LeBlanc V, Ottesen B, Konge L, Dieckmann P, Van der Vleuten C. Design of simulation-based medical education and advantages and disadvantages of in situ simulation versus off-site simulation. Med Ed. 2017;17:20.

    Google Scholar 

  43. Kelsey NC, Claus S. Embedded, in situ simulation improves ability to rescue. Clin Simul Nurs. 2016;12(11):522–7.

    Google Scholar 

  44. Lavelle M, Reedy GB, Attoe C, Simpson T, Anderson JE. Beyond the clinical team: evaluating the human factors-oriented training of non-clinical professionals working in healthcare contexts. Adv Simul. 2019;4:11.

    Google Scholar 

  45. Roth EM, Eggleston RG. Forging new evaluation paradigms: beyond statistical generalization. In: Macrocognition metrics and scenarios: CRC Press; 2018. p. 203–20.

    Google Scholar 

  46. Mayville ML. Debriefing: the essential step in simulation. Newborn Infant Nurs Rev. 2011;11:35–9.

    Google Scholar 

  47. Neill MA, Wotton K. High-fidelity simulation debriefing in nursing education: a literature review. Clin Simul Nurs. 2011;7:e161–8.

    Google Scholar 

  48. Hope A, Garside J, Prescott S. Rethinking theory and practice: pre-registration student nurses experiences of simulation teaching and learning in the acquisition of clinical skills in preparation for practice. Nurse Educ Today. 2011;31:711–5.

    PubMed  Google Scholar 

  49. Dubé MM, Reid J, Kaba A, Cheng A, Eppich W, Grant V, Stone K. Pearls for systems integration. Simul Healthc. 2019;14:333–42. https://doi.org/10.1097/SIH.0000000000000381.

    Article  PubMed  Google Scholar 

  50. Lamé G, Dixon-Woods M. Using clinical simulation to study how to improve quality and safety in healthcare. BMJ STEL. 2020;6:87–94.

    PubMed  PubMed Central  Google Scholar 

  51. Kolbe M, Burtscher MJ, Wacker J, Grande B, Nohynkova R, Manser T, Spahn DR, Grote G. Speaking up is related to better team performance in simulated anesthesia inductions: an observational study. Anesth Analg. 2012;115:1099–108.

    CAS  PubMed  Google Scholar 

  52. Lavelle M, Reedy GB, Cross S, Jaye P, Simpson T, Anderson JE. An evidence based framework for the Temporal Observational Analysis of Teamwork in healthcare settings. Appl Ergon. 2020;82:102915.

    PubMed  Google Scholar 

  53. LeBlanc VR, Manser T, Weinger MB, Musson D, Kutzin J, Howard SK. The study of factors affecting human and systems performance in healthcare using simulation. Simul Healthc. 2011;6:S24–9.

    PubMed  Google Scholar 

  54. Rystedt H, Sjöblom B. Realism, authenticity, and learning in healthcare simulations: rules of relevance and irrelevance as interactive achievements. Instr Sci. 2012;40:785–98.

    Google Scholar 

  55. Mudumbai SC, Fanning R, Howard SK, Davies MF, Gaba DM. Use of medical simulation to explore equipment failures and human-machine interactions in anesthesia machine pipeline supply crossover. Anesth Analg. 2010;110:1292–6.

    PubMed  Google Scholar 

  56. Ross AJ, Kodate N, Anderson JE, Thomas L, Jaye P. Review of simulation studies in anaesthesia journals, 2001–2010: mapping and content analysis. Br J Anaesth. 2012;109:99–109.

    CAS  PubMed  Google Scholar 

  57. Borycki EM, Kushniruk A, Keay E, Nicoll J, Anderson J, Anderson M. Toward an integrated simulation approach for predicting and preventing technology-induced errors in healthcare: implications for healthcare decision-makers. Healthc Q. 2009;12:90–6.

    PubMed  Google Scholar 

  58. Shah SG, Robinson I. User involvement in healthcare technology development and assessment. Int J Health Care Qual Assur. 2006;19

    Google Scholar 

  59. Register S, Brown M, White ML. Using healthcare simulation in space planning to improve efficiency and effectiveness within the healthcare system. Health Syst. 2019;8:184–9.

    Google Scholar 

  60. Maben J, Griffiths P, Penfold C, Simon M, Anderson JE, Robert G, Pizzo E, Hughes J, Murrells T, Barlow J. One size fits all? Mixed methods evaluation of the impact of 100% single-room accommodation on staff and patient experience, safety and costs. BMJ Qual Saf. 2016;25:241–56.

    PubMed  Google Scholar 

  61. Bender J, Shields R, Kennally K. Testing with simulation before a big move at Women & Infants Hospital. Med Health R I. 2010;93(145):149–50.

    Google Scholar 

  62. Geis GL, Pio B, Pendergrass TL, Moyer MR, Patterson MD. Simulation to assess the safety of new healthcare teams and new facilities. Simul Healthc. 2011;6:125–33. https://doi.org/10.1097/SIH.0b013e31820dff30.

    Article  PubMed  Google Scholar 

  63. Rousek JB, Hallbeck MS. Improving medication management through the redesign of the hospital code cart medication drawer. Hum Factors. 2011;53(6):626–36.

    PubMed  Google Scholar 

  64. Trafton JA, Martins SB, Michel MC, Wang D, Tu SW, Clark DJ, Elliott J, Vucic B, Balt S, Clark ME, Sintek CD. Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain. Impl Sci. 2010;5(1):26.

    Google Scholar 

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Correspondence to Janet E. Anderson .

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Anderson, J.E., Ross, A. (2021). Human Factors Applications of Simulation. In: Deutsch, E.S., Perry, S.J., Gurnaney, H.G. (eds) Comprehensive Healthcare Simulation: Improving Healthcare Systems. Comprehensive Healthcare Simulation. Springer, Cham. https://doi.org/10.1007/978-3-030-72973-8_2

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  • DOI: https://doi.org/10.1007/978-3-030-72973-8_2

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