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Simulation, feedback and intensive coaching to
improve BLS skills performance
Alan Batt
• Alan Batt
– Clinical Educator, National Ambulance LLC, UAE
– Associate Researcher, Centre for Prehospital Research, Graduate Entry
Medical School, University of Limerick, Ireland
– Research Committee Member, National Association of EMS Educators
– Editor-in-chief, prehospitalresearch.eu
– No financial conflicts
Conflict of interest statement
Realistic?
• Inappropriate or inadequate skill performance at a particular time (Kohn,
Corrigan & Donaldson 2000)
• Inappropriate or inadequate team performance and communication (AHRQ
2003)
• Human factor issues: conflict between humans and equipment (Reason 2000)
• Combination of the above
Inadequate performance
Meet “Steve”
• Pilot study, manikin based
• Self-selection, voluntary
• Objective assessment of BLS quality as initial
baseline using Ambu Cardiac Trainer manikin
(Ambu GmbH, Hesse, Germany) and Lifepak 15
Monitor-Defibrillator (Physio-Control Inc, USA)
• Coaching session delivered utilising immersive
simulation techniques, feedback and high-quality
CPR methods
• Re-assessment of BLS quality to gauge
effectiveness of educational intervention
Methods
• EMTs and Paramedics with previous BLS training and certification
• 8 teams of 2 providers (n=16)
• Mixed BLS and ALS providers
Population
• Teams were debriefed
after initial evaluation of
skills
• Coaching was provided
focused on 6 key points of
high-quality CPR
• Teamwork was
emphasised with clearly
defined roles and plans.
• “Pit-crew” CPR
Coaching
• No skill sheet used, no time limit enforced
• Full body manikin used with ability to generate cardiac rhythms and
palpable pulse
• Equipment used as per in-field equipment
• Manikin on ground in collapsed position
• No interaction from assessor
• Immersion in clinical environment has been shown to simulate stressful
conditions encountered by personnel. LeBlanc et al. (2005) found a
decrease in drug calculation performance during stress.
Immersion
Compression rate
• Mean compression rate pre-intervention: 118 bpm (SD 9.19)
• Mean compression rate post-intervention: 126 bpm (SD 6.29)
• Mean compression fraction pre-intervention: 40.37 % (SD 3.85)
• Mean compression fraction post-intervention: 56 % (SD 3.81)
Compression fraction
• Mean compression depth pre-intervention: 52.25mm (SD 7.18)
• Mean compression depth post-intervention: 57.37mm (SD 5.42)
Compression depth
• Mean hands-off time pre-intervention: 7.12 secs (SD 2.79)
• Mean hands-off time psot-intervention: 2.87 secs (SD 1.12)
Hands off time
• Mean time to first shock pre-intervention: 85.37 secs (SD 35.88)
• Mean time to first shock post-intervention: 47.5 secs (SD 9.3)
Time to first shock
• A combination of immersive simulation, intensive coaching and feedback
resulted in:
• Higher compression rate
• Deeper compressions
• Less hands-off time
• Higher compression fraction
• Decreased time to first shock
• These are all components of high quality CPR described by ILCOR and the
American Heart Association.
Results
• Non-randomised
• Non-blinded due to nature of
intervention
• Significant potential for Hawthorne
effect
• All providers had previous experience
of BLS
Limitations
Bottom Line
• Training matters!
• Simulation makes it better!
• Immediate feedback and focused intensive coaching improves
performance.
• Our pilot study indicates that high-quality CPR training can be
implemented through immersive team-based simulation,
coaching and feedback.
• Agency for Healthcare Research and Quality. (2003). AHRQ’s patient safety initiative: Building foundations, reducing risk.
Interim Report to the Senate Committee on Appropriations. AHRQ Publication No. 04-RG005, December 2003. Retrieved
January 5, 2015, from http://www.ahrq.gov/qual/pscongrpt/
• Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (2000). To err is human: Building a safer health system. Free Executive Summary.
Washington, DC: National Academies Press.
• LeBlanc, V. R., MacDonald, R. D., McArthur, B., King, K., & Lepine, T. (2005) Paramedic performance in calculating drug dosages
following stressful scenarios in a human patient simulator. Prehospital Emergency Care : Official Journal of the National
Association of EMS Physicians and the National Association of State EMS Directors, 9(4), 439–44.
• Reason, J. (2000). Human error: Models and management. BMJ, 320, 768-770.
• Yu, T. (2002). Adverse Outcomes of Interrupted Precordial Compression During Automated Defibrillation. Circulation, 106(3),
368–372. doi:10.1161/01.CIR.0000021429.22005.2E
References

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Simulation, feedback and intensive coaching to improve BLS skills performance - proof of concept study

  • 1. Simulation, feedback and intensive coaching to improve BLS skills performance Alan Batt
  • 2. • Alan Batt – Clinical Educator, National Ambulance LLC, UAE – Associate Researcher, Centre for Prehospital Research, Graduate Entry Medical School, University of Limerick, Ireland – Research Committee Member, National Association of EMS Educators – Editor-in-chief, prehospitalresearch.eu – No financial conflicts Conflict of interest statement
  • 4. • Inappropriate or inadequate skill performance at a particular time (Kohn, Corrigan & Donaldson 2000) • Inappropriate or inadequate team performance and communication (AHRQ 2003) • Human factor issues: conflict between humans and equipment (Reason 2000) • Combination of the above Inadequate performance
  • 6. • Pilot study, manikin based • Self-selection, voluntary • Objective assessment of BLS quality as initial baseline using Ambu Cardiac Trainer manikin (Ambu GmbH, Hesse, Germany) and Lifepak 15 Monitor-Defibrillator (Physio-Control Inc, USA) • Coaching session delivered utilising immersive simulation techniques, feedback and high-quality CPR methods • Re-assessment of BLS quality to gauge effectiveness of educational intervention Methods
  • 7. • EMTs and Paramedics with previous BLS training and certification • 8 teams of 2 providers (n=16) • Mixed BLS and ALS providers Population
  • 8. • Teams were debriefed after initial evaluation of skills • Coaching was provided focused on 6 key points of high-quality CPR • Teamwork was emphasised with clearly defined roles and plans. • “Pit-crew” CPR Coaching
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  • 10. • No skill sheet used, no time limit enforced • Full body manikin used with ability to generate cardiac rhythms and palpable pulse • Equipment used as per in-field equipment • Manikin on ground in collapsed position • No interaction from assessor • Immersion in clinical environment has been shown to simulate stressful conditions encountered by personnel. LeBlanc et al. (2005) found a decrease in drug calculation performance during stress. Immersion
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  • 12. Compression rate • Mean compression rate pre-intervention: 118 bpm (SD 9.19) • Mean compression rate post-intervention: 126 bpm (SD 6.29)
  • 13. • Mean compression fraction pre-intervention: 40.37 % (SD 3.85) • Mean compression fraction post-intervention: 56 % (SD 3.81) Compression fraction
  • 14. • Mean compression depth pre-intervention: 52.25mm (SD 7.18) • Mean compression depth post-intervention: 57.37mm (SD 5.42) Compression depth
  • 15. • Mean hands-off time pre-intervention: 7.12 secs (SD 2.79) • Mean hands-off time psot-intervention: 2.87 secs (SD 1.12) Hands off time
  • 16. • Mean time to first shock pre-intervention: 85.37 secs (SD 35.88) • Mean time to first shock post-intervention: 47.5 secs (SD 9.3) Time to first shock
  • 17. • A combination of immersive simulation, intensive coaching and feedback resulted in: • Higher compression rate • Deeper compressions • Less hands-off time • Higher compression fraction • Decreased time to first shock • These are all components of high quality CPR described by ILCOR and the American Heart Association. Results
  • 18. • Non-randomised • Non-blinded due to nature of intervention • Significant potential for Hawthorne effect • All providers had previous experience of BLS Limitations
  • 19. Bottom Line • Training matters! • Simulation makes it better! • Immediate feedback and focused intensive coaching improves performance. • Our pilot study indicates that high-quality CPR training can be implemented through immersive team-based simulation, coaching and feedback.
  • 20. • Agency for Healthcare Research and Quality. (2003). AHRQ’s patient safety initiative: Building foundations, reducing risk. Interim Report to the Senate Committee on Appropriations. AHRQ Publication No. 04-RG005, December 2003. Retrieved January 5, 2015, from http://www.ahrq.gov/qual/pscongrpt/ • Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (2000). To err is human: Building a safer health system. Free Executive Summary. Washington, DC: National Academies Press. • LeBlanc, V. R., MacDonald, R. D., McArthur, B., King, K., & Lepine, T. (2005) Paramedic performance in calculating drug dosages following stressful scenarios in a human patient simulator. Prehospital Emergency Care : Official Journal of the National Association of EMS Physicians and the National Association of State EMS Directors, 9(4), 439–44. • Reason, J. (2000). Human error: Models and management. BMJ, 320, 768-770. • Yu, T. (2002). Adverse Outcomes of Interrupted Precordial Compression During Automated Defibrillation. Circulation, 106(3), 368–372. doi:10.1161/01.CIR.0000021429.22005.2E References