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Simulation using the PECARN Head
Trauma Rule to Reduce CT Imaging
(Effectiveness of a Simulation Curriculum on Clinical
Execution: a Pilot Study)
Ilana Harwayne-Gidansky MA MD, Son McLaren MD, Jennifer
Garnett MD, Kristen Critelli MD, Kevin Ching MD
New York Presbyterian Hospital - Weill Cornell Medical College
None
Disclosures
Problem
Limiting unnecessary CT scans for children with head trauma
Best practice
• PECARN clinical prediction rule helps identify children with very low
risk for TBI (traumatic brain injury)
• Simple, intuitive, validated rule to decide who needs a head CT
• High negative predictive value
• Assists experienced practitioners and physicians-in-training alike
Actual practice
• Busy pediatric emergency department (PED)
• Faulty memory = imprecise interpretation of PECARN rule
• Reliance on misguided clinical judgment, experience, and intuition
Result
Children subjected to unnecessary radiation from avoidable CT scans
Background
Kupperman, et al. PECARN (Pediatric Emergency Care Applied Research Network), Lancet 2009
Hypothesis
Growing evidence: transfer of procedural skills proficiency
acquired thru simulation to clinical practice
Limited evidence: transfer of more global clinical skills acquired
thru simulation to clinical practice
By learning the PECARN rule thru simulation training, we predict
that pediatric interns will demonstrate more rigor and precision
when using this rule on REAL children compared to its use by
non-simulated interns and more senior level residents.
The implication may be fewer unnecessary head CT scans.
Objectives
• Develop a pediatric simulation exercise illustrating the use of the
PECARN clinical prediction rule
• Quantitatively improve a pediatric intern’s ability to apply this
clinical prediction rule and measurably prolong knowledge
retention:
• on written and simulation post-tests
• when managing children with head trauma in the PED
• Conduct a proof-of-concept study to document the longitudinal
impact of this simulation exercise on resident education and
patient care
Methods
• Single-center, blinded, prospective randomized-controlled
educational intervention study
• Written pre-test
• Randomization
• Simulation exercises
• Standardized cases
• Scripted debriefing
All pediatric residents PGY 1-3 at
NYP-Cornell (60)
PGY 1 (20)
Intervention:
Simulation exercise
involving the PECARN
rule (10)
Control: Simulation
exercise involving
unrelated trauma (10)
PGY 2 & 3 (40)
Historical controls
Methods
• Structured Clinical Observations (SCO)
• PED: all children with head trauma
• Head CT or NO head CT. Why?
• Self checklist by residents PGY 1-3
• Scored by trained faculty
• Written post-test
• Post-test simulation exercise
All pediatric residents
PGY 1-3 at NYP-Cornell
(60)
September 2013-
present
Structured clinical observations:
use of PECARN rule in all children
who have head trauma
ALL residents (60)
Post-test
simulation
PGY 1 (20)
Structured Clinical Observation Tool
Resident section:
Fellow/attending section:
Preliminary Results: Table 1
Intervention (1A)
N (%)
Control (1B)
N (%)
P Value
Average age 26-30 26-20 0.2357
Gender (% F) 70 100 0.0603
Prior work in healthcare 7 (0.7) 8 (0.8) 0.6056
Prior history in caring for
patients with TBI
7 (0.7) 4 (0.4) 0.1775
Prior history in caring for
patients with increased
ICP
9 (0.9) 4 (0.4) 0.0191
Prior participation in
simulated exercises
10 (1.0) 10 (1.0) 1
Prior education in
recognition or
management of TBI or
increased ICP
4 (0.4) 4 (0.4) 1
Pre-test Score 50% 54% 0.4386
SIM score 45% 42% 0.579757834
Preliminary Results: Table 2
Intervention (1A) Control (1B) PGY 2/3 P value
Agreement between
attending and
resident to scan
7 (1) 6 (1) 6 (.85) 0.38
Correct use of
PECARN rule by
resident
5 (.71) 4 (0.67) 4 (0.8) 0.59
Plan made to scan 0 (0) 0 (0) 1 (0.16) 0.21
CT actually obtained 12 (0.8) 19 (0.86) 14 (0.87) 0.82
% correct PECARN
criteria identified
0.61 0.50 0.37 0.15
Attending number of
PECARN criteria
(agreement with
resident)
3.43 3.31 3.00 0.84
Resident: Attending
agreement on
PECARN criteria
1.17 1.05 0.86 0.55
Challenges
• Development of SCOs that are simple, easy to use, and effective in
a busy ER setting
• Compliance of residents and attendings in completing SCOs
• RedCAP database design that was easy to input data and
accommodate changes in SCOs
Conclusion
Our preliminary proof of concept data suggests that pediatric interns
participating in simulation training may demonstrate clinical
performance competencies when using the PECARN clinical prediction
rule that are measurably similar and even more advanced than more
experienced senior level residents – suggesting that a global clinical
skill learned in simulation is being transferred to real patient care.
This study suggests that we may improve the efficiency of information
delivery through simulation, and has promising implications for future
larger studies.
References
1. Boulet, J., Murray, D., Kras, J. &
Woodhouse, J. Reliability and validity of a
simulation-based acute care skills assessment
for medical students and residents.
Anesthesiology 1270–1280 (2003). at
2. Rosenthal, M. E. et al. Achieving
Housestaff Competence in Emergency Airway
Management Using Scenario Based Simulation
Training* : Comparison of Attending vs
Housestaff Trainers. (2006).
doi:10.1378/chest.129.6.1453
3. Overly, F. L., Sudikoff, S. N. & Shapiro, M.
J. High-Fidelity Medical Simulation as an
Assessment Tool for Pediatric Residents ’ Airway
Management Skills. 23, 11–15 (2007).
4. Stocker, M. & Combes, J. Impact of an
embedded simulation team training programme
in a paediatric intensive care unit : a prospective
, single-centre , longitudinal study. 99–104
(2012). doi:10.1007/s00134-011-2371-5
5. Kneebone, R. Simulation in surgical
training : educational issues and practical
implications. 267–277 (2003).
6. Petrusa, E. R. & Scalese, R. J. simulation
A critical review of simulation-based medical
education research : 2003 – 2009. 50–63 (2010).
doi:10.1111/j.1365-2923.2009.03547.x
7. Chung, G. K. W. K., Harmon, T. C. &
Baker, E. L. The impact of a simulation-based
learning design project on student learning. IEEE
Trans. Educ. 44, 390–398 (2001).

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ALERT Presentation - Ching - IPSSW 2014

  • 1. Simulation using the PECARN Head Trauma Rule to Reduce CT Imaging (Effectiveness of a Simulation Curriculum on Clinical Execution: a Pilot Study) Ilana Harwayne-Gidansky MA MD, Son McLaren MD, Jennifer Garnett MD, Kristen Critelli MD, Kevin Ching MD New York Presbyterian Hospital - Weill Cornell Medical College
  • 3. Problem Limiting unnecessary CT scans for children with head trauma Best practice • PECARN clinical prediction rule helps identify children with very low risk for TBI (traumatic brain injury) • Simple, intuitive, validated rule to decide who needs a head CT • High negative predictive value • Assists experienced practitioners and physicians-in-training alike Actual practice • Busy pediatric emergency department (PED) • Faulty memory = imprecise interpretation of PECARN rule • Reliance on misguided clinical judgment, experience, and intuition Result Children subjected to unnecessary radiation from avoidable CT scans Background Kupperman, et al. PECARN (Pediatric Emergency Care Applied Research Network), Lancet 2009
  • 4.
  • 5. Hypothesis Growing evidence: transfer of procedural skills proficiency acquired thru simulation to clinical practice Limited evidence: transfer of more global clinical skills acquired thru simulation to clinical practice By learning the PECARN rule thru simulation training, we predict that pediatric interns will demonstrate more rigor and precision when using this rule on REAL children compared to its use by non-simulated interns and more senior level residents. The implication may be fewer unnecessary head CT scans.
  • 6. Objectives • Develop a pediatric simulation exercise illustrating the use of the PECARN clinical prediction rule • Quantitatively improve a pediatric intern’s ability to apply this clinical prediction rule and measurably prolong knowledge retention: • on written and simulation post-tests • when managing children with head trauma in the PED • Conduct a proof-of-concept study to document the longitudinal impact of this simulation exercise on resident education and patient care
  • 7. Methods • Single-center, blinded, prospective randomized-controlled educational intervention study • Written pre-test • Randomization • Simulation exercises • Standardized cases • Scripted debriefing All pediatric residents PGY 1-3 at NYP-Cornell (60) PGY 1 (20) Intervention: Simulation exercise involving the PECARN rule (10) Control: Simulation exercise involving unrelated trauma (10) PGY 2 & 3 (40) Historical controls
  • 8. Methods • Structured Clinical Observations (SCO) • PED: all children with head trauma • Head CT or NO head CT. Why? • Self checklist by residents PGY 1-3 • Scored by trained faculty • Written post-test • Post-test simulation exercise All pediatric residents PGY 1-3 at NYP-Cornell (60) September 2013- present Structured clinical observations: use of PECARN rule in all children who have head trauma ALL residents (60) Post-test simulation PGY 1 (20)
  • 9. Structured Clinical Observation Tool Resident section:
  • 11. Preliminary Results: Table 1 Intervention (1A) N (%) Control (1B) N (%) P Value Average age 26-30 26-20 0.2357 Gender (% F) 70 100 0.0603 Prior work in healthcare 7 (0.7) 8 (0.8) 0.6056 Prior history in caring for patients with TBI 7 (0.7) 4 (0.4) 0.1775 Prior history in caring for patients with increased ICP 9 (0.9) 4 (0.4) 0.0191 Prior participation in simulated exercises 10 (1.0) 10 (1.0) 1 Prior education in recognition or management of TBI or increased ICP 4 (0.4) 4 (0.4) 1 Pre-test Score 50% 54% 0.4386 SIM score 45% 42% 0.579757834
  • 12. Preliminary Results: Table 2 Intervention (1A) Control (1B) PGY 2/3 P value Agreement between attending and resident to scan 7 (1) 6 (1) 6 (.85) 0.38 Correct use of PECARN rule by resident 5 (.71) 4 (0.67) 4 (0.8) 0.59 Plan made to scan 0 (0) 0 (0) 1 (0.16) 0.21 CT actually obtained 12 (0.8) 19 (0.86) 14 (0.87) 0.82 % correct PECARN criteria identified 0.61 0.50 0.37 0.15 Attending number of PECARN criteria (agreement with resident) 3.43 3.31 3.00 0.84 Resident: Attending agreement on PECARN criteria 1.17 1.05 0.86 0.55
  • 13. Challenges • Development of SCOs that are simple, easy to use, and effective in a busy ER setting • Compliance of residents and attendings in completing SCOs • RedCAP database design that was easy to input data and accommodate changes in SCOs
  • 14. Conclusion Our preliminary proof of concept data suggests that pediatric interns participating in simulation training may demonstrate clinical performance competencies when using the PECARN clinical prediction rule that are measurably similar and even more advanced than more experienced senior level residents – suggesting that a global clinical skill learned in simulation is being transferred to real patient care. This study suggests that we may improve the efficiency of information delivery through simulation, and has promising implications for future larger studies.
  • 15. References 1. Boulet, J., Murray, D., Kras, J. & Woodhouse, J. Reliability and validity of a simulation-based acute care skills assessment for medical students and residents. Anesthesiology 1270–1280 (2003). at 2. Rosenthal, M. E. et al. Achieving Housestaff Competence in Emergency Airway Management Using Scenario Based Simulation Training* : Comparison of Attending vs Housestaff Trainers. (2006). doi:10.1378/chest.129.6.1453 3. Overly, F. L., Sudikoff, S. N. & Shapiro, M. J. High-Fidelity Medical Simulation as an Assessment Tool for Pediatric Residents ’ Airway Management Skills. 23, 11–15 (2007). 4. Stocker, M. & Combes, J. Impact of an embedded simulation team training programme in a paediatric intensive care unit : a prospective , single-centre , longitudinal study. 99–104 (2012). doi:10.1007/s00134-011-2371-5 5. Kneebone, R. Simulation in surgical training : educational issues and practical implications. 267–277 (2003). 6. Petrusa, E. R. & Scalese, R. J. simulation A critical review of simulation-based medical education research : 2003 – 2009. 50–63 (2010). doi:10.1111/j.1365-2923.2009.03547.x 7. Chung, G. K. W. K., Harmon, T. C. & Baker, E. L. The impact of a simulation-based learning design project on student learning. IEEE Trans. Educ. 44, 390–398 (2001).