Examining the Effect of a Scripted Debriefing on Resuscitation Performance in Pediatrics
EXPRESS
Examining Pediatric Resuscitation Education Using Simulation and Scripted Debriefing: A Multicenter, Randomized Controlled Trial
1 other identifier
interventional
443
1 country
1
Brief Summary
The investigative team's purpose for conducting this research is to improve effective and efficient translation and implementation of evidence based advanced life support practice to providers of care for children. This specific project aims to accomplish 2 major goals. The investigators aim to evaluate the utility of a debriefing script specifically designed to facilitate debriefing when used by novice Pediatric Advanced Life Support instructors during low and high realism simulation-based learning. Secondly, the investigators hope to evaluate the effectiveness of high realism simulation vs. low realism simulation in achieving PALS-based educational outcomes, such as knowledge and skill acquisition. The investigators hypothesize that SCRIPTED debriefing by novice instructors following low and high fidelity simulation-based learning will :
- 1.Improve the cognitive performance and knowledge of multidisciplinary team members as assessed by a cognitive performance tool and multiple choice testing compared with more traditional, NON-SCRIPTED debriefing;
- 2.Improve the behavioural, teamwork and communication skills of multidisciplinary team members as assessed by a validated assessment tool compared with more traditional, NON-SCRIPTED debriefing;
- 3.Improve the cognitive performance and knowledge of multidisciplinary team members as assessed by a cognitive performance tool and multiple choice testing compared with more traditional, LOW REALISM simulation;
- 4.Improve the behavioural, teamwork and communication skills of multidisciplinary team members as assessed by a validated assessment tool compared with more traditional, LOW REALISM simulation;
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2009
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2009
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2011
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2011
CompletedFirst Submitted
Initial submission to the registry
September 5, 2012
CompletedFirst Posted
Study publicly available on registry
September 11, 2012
CompletedSeptember 11, 2012
September 1, 2012
1.8 years
September 5, 2012
September 10, 2012
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Behavioural Assessment Tool Score (Percentage 0-100%)
Behavioral Assessment Tool The Behavioral Assessment Tool (BAT) was used to assess the team leader's crisis resource management skills during the pre and post-simulation scenarios. Each behavior is rated on a five-point Likert scale, where a score of one represents poor behavioral performance in the category and a score of five reflects excellent performance. Each behavior is supplement by descriptive anchors for poor (1), average (3) and excellent performance (5). Previous work done by LeFlore et al has focused on establishing reliability and validity of the tool in varying contexts. In a study of nurse practitioner students, data demonstrated a Cronbach's alpha of 0.97 with an intraclass correlation coefficient of 0.84 (p\<0.001). In a different study assessing alternative educational models for interdisciplinary student teams, the BAT was used to assess behavioral performance and the Cronbach's alpha was 0.956.
Baseline of one hour (post debreifing) - note: reporting change in timeframe for all 3 outcome measures
Secondary Outcomes (2)
Clinical Performance Tool Score (Percentage 0-100%)
Baseline of one hour (post debreifing) - note: reporting change in timeframe for all 3 outcome measures
Multiple Choice Test (Knowledge)
Baseline of one hour (post debreifing) - note: reporting change in timeframe for all 3 outcome measures
Study Arms (4)
Non-Scripted Debriefing, Low Realism Simulation
NO INTERVENTIONA debriefing script was designed for novice instructors to facilitate a 20-minute debriefing session. In this arm, novice instructors were provided the scenario learning objectives but NO SCRIPT, and asked to observe the simulation and conduct a 20 minute debriefing. The simulation scenario itself was conducted with an infant simulator. The low realism group had the simulator with the compressor turned off, thus eliminating the functionality of physical findings.
Scripted debriefing, Low Realism
EXPERIMENTALIn this arm, novice instructors were provided the scenario learning objectives WITH A DEBRIEFING SCRIPT, and asked to observe the simulation and conduct a 20 minute debriefing USING THE SCRIPT. The lo realism group had the simulator with the compressor turned on, thus eliminating the functionality of physical findings.
non-Scripted Debriefing, High Realism Simulation
EXPERIMENTALIn this arm, novice instructors were provided the scenario learning objectives WITHOUT A DEBRIEFING SCRIPT, and asked to observe the simulation and conduct a 20 minute debriefing WITHOUT USING THE SCRIPT. The hi realism group had the simulator with the compressor turned on, thus activating the functionality of physical findings.
Scripted Debriefing, High Realism Simulation
EXPERIMENTALIn this arm, novice instructors were provided the scenario learning objectives WITH A DEBRIEFING SCRIPT, and asked to observe the simulation and conduct a 20 minute debriefing USING THE SCRIPT. The hi realism group had the simulator with the compressor turned on, thus activating the functionality of physical findings.
Interventions
A debriefing script was designed for novice instructors to facilitate a 20-minute debriefing session. It was developed in iterative steps: (a) review of PALS learning objectives; (b) categorization of script content; (c) development of scripted language; (d) formatting into a cognitive aid and (e) pilot testing script for usability with subsequent edits before implementation in the study. All novice instructors received the scenario 2 weeks prior to the study session. Instructors randomized to scripted debriefing were also given the script with no instruction on how to use it except on the day of the study, to use and follow the script as closely as possible during the debriefing session. All instructors held a clipboard while observing the simulation session; to hold the debriefing script and/or take notes. This allowed for blinding of the video reviewers as to which study arm the team had been randomized. Debriefing sessions were limited to 20-minutes in duration.
High vs. Low Physical Realism Simulators A pre-programmed infant simulator was used for all simulation sessions. To create "high" physical realism (HiR), full simulator functions were activated ("turned on") including vital sign monitoring, audio feedback, breath sounds, chest rise, heart sounds, palpable pulses, and vocalization. "Low" physical realism (LoR) groups had the identical simulator but the compressor was "turned off", thus eliminating physical findings described above. In addition, the LoR simulator was connected to a monitor, but it only displayed the cardiac rhythm, and not pulse oximetry, respiratory rate, blood pressure, temperature and audio feedback present in the HiR group. All other aspects of the simulated resuscitation environment were standardized for all groups.
Eligibility Criteria
You may qualify if:
- senior residents (general pediatric, emergency medicine, pediatric subspecialty) in year three of training or above
- nursing staff, respiratory therapists or paramedics with greater than 5 years of clinical experience
- recent PALS certification within the past 2 years
- or 2 pediatric nurses, 2 physicians (residents/fellows in pediatrics, anesthesia, family medicine, emergency medicine, pediatric emergency medicine, pediatric critical care or pediatric anesthesia) and/or 1 pediatric respiratory therapist or 1 pediatric transport paramedic
You may not qualify if:
- experienced instructors, defined as having taught three or more courses for healthcare professionals where simulation was followed by debriefing
- N/A
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- KidSIM Simulation Programlead
- American Heart Associationcollaborator
Study Sites (1)
BC Children's Hospital
Vancouver, British Columbia, V6H3N1, Canada
Related Publications (12)
Hunt EA, Fiedor-Hamilton M, Eppich WJ. Resuscitation education: narrowing the gap between evidence-based resuscitation guidelines and performance using best educational practices. Pediatr Clin North Am. 2008 Aug;55(4):1025-50, xii. doi: 10.1016/j.pcl.2008.04.007.
PMID: 18675032BACKGROUNDEppich WJ, Adler MD, McGaghie WC. Emergency and critical care pediatrics: use of medical simulation for training in acute pediatric emergencies. Curr Opin Pediatr. 2006 Jun;18(3):266-71. doi: 10.1097/01.mop.0000193309.22462.c9.
PMID: 16721146BACKGROUNDEppich WJ, Brannen M, Hunt EA. Team training: implications for emergency and critical care pediatrics. Curr Opin Pediatr. 2008 Jun;20(3):255-60. doi: 10.1097/MOP.0b013e3282ffb3f3.
PMID: 18475092BACKGROUNDIssenberg SB, McGaghie WC, Hart IR, Mayer JW, Felner JM, Petrusa ER, Waugh RA, Brown DD, Safford RR, Gessner IH, Gordon DL, Ewy GA. Simulation technology for health care professional skills training and assessment. JAMA. 1999 Sep 1;282(9):861-6. doi: 10.1001/jama.282.9.861.
PMID: 10478693BACKGROUNDDonoghue AJ, Durbin DR, Nadel FM, Stryjewski GR, Kost SI, Nadkarni VM. Effect of high-fidelity simulation on Pediatric Advanced Life Support training in pediatric house staff: a randomized trial. Pediatr Emerg Care. 2009 Mar;25(3):139-44. doi: 10.1097/PEC.0b013e31819a7f90.
PMID: 19262421BACKGROUNDNelson KL, Shilkofski NA, Haggerty JA, Saliski M, Hunt EA. The use of cognitive AIDS during simulated pediatric cardiopulmonary arrests. Simul Healthc. 2008 Fall;3(3):138-45. doi: 10.1097/SIH.0b013e31816b1b60.
PMID: 19088657BACKGROUNDRudolph JW, Simon R, Rivard P, Dufresne RL, Raemer DB. Debriefing with good judgment: combining rigorous feedback with genuine inquiry. Anesthesiol Clin. 2007 Jun;25(2):361-76. doi: 10.1016/j.anclin.2007.03.007.
PMID: 17574196BACKGROUNDDonoghue A, Nishisaki A, Sutton R, Hales R, Boulet J. Reliability and validity of a scoring instrument for clinical performance during Pediatric Advanced Life Support simulation scenarios. Resuscitation. 2010 Mar;81(3):331-6. doi: 10.1016/j.resuscitation.2009.11.011. Epub 2010 Jan 4.
PMID: 20047787BACKGROUNDLeFlore JL, Anderson M. Alternative educational models for interdisciplinary student teams. Simul Healthc. 2009 Fall;4(3):135-42. doi: 10.1097/SIH.0b013e318196f839.
PMID: 19680079BACKGROUNDCheng A, Nadkarni V, Hunt EA, Qayumi K; EXPRESS Investigators. A multifunctional online research portal for facilitation of simulation-based research: a report from the EXPRESS pediatric simulation research collaborative. Simul Healthc. 2011 Aug;6(4):239-43. doi: 10.1097/SIH.0b013e31821d5331.
PMID: 21613969BACKGROUNDIssenberg SB, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach. 2005 Jan;27(1):10-28. doi: 10.1080/01421590500046924.
PMID: 16147767BACKGROUNDRudolph JW, Simon R, Raemer DB. Which reality matters? Questions on the path to high engagement in healthcare simulation. Simul Healthc. 2007 Fall;2(3):161-3. doi: 10.1097/SIH.0b013e31813d1035. No abstract available.
PMID: 19088618BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Vinay Nadkarni, MD
Children's Hospital of Philadelphia
- STUDY DIRECTOR
Elizabeth Hunt, MD
Johns Hopkins University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Intervention Model
- FACTORIAL
- Sponsor Type
- NETWORK
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 5, 2012
First Posted
September 11, 2012
Study Start
April 1, 2009
Primary Completion
February 1, 2011
Study Completion
February 1, 2011
Last Updated
September 11, 2012
Record last verified: 2012-09