Optimizing Integration of CPR Feedback Technology With CPR Coaching for Cardiac Arrest

Sponsor
Express Collaborative (Other)
Overall Status
Unknown status
CT.gov ID
NCT03204162
Collaborator
KidSIM-ASPIRE (Other)
180
5
2
16
36
2.3

Study Details

Study Description

Brief Summary

There is significant data showing that the quality of CPR performed is quite poor. Recent studies have shown that when real-time visual corrective feedback is available to CPR providers, quality (compression depth and rate) improves.

Pilot work at John's Hopkins Children's Hospital indicates that providing a CPR Coach whose role it is to provide real-time coaching during cardiac arrest, further improves the quality of CPR. This study will assess the impact of a CPR Coach for improving CPR quality and CPR perception in a team of healthcare providers during simulated CPA.

Condition or Disease Intervention/Treatment Phase
  • Other: CPR Coaching
N/A

Detailed Description

Cardiopulmonary resuscitation (CPR) is provided for thousands of children with cardiopulmonary arrests (CPA) each year in North America. The quality of CPR directly impacts hemodynamics, survival, and neurologic outcome following cardiac arrest. Well-trained healthcare providers consistently fail to perform CPR within established Heart and Stroke Foundation of Canada (HSFC) resuscitation guidelines. The poor quality of healthcare provider CPR adversely affects survival outcomes and quality of life in cardiac arrest survivors.

CPR feedback devices that provide real-time visual corrective feedback during CPA have become valuable tools to help to improve the overall quality of CPR. The cardiac arrest literature shows that although CPR feedback devices help to improve the overall quality of CPR, there is still substantial room for improvement. A recent multicenter study involving ten pediatric institutions led by the principal investigator of this project evaluated the impact of CPR feedback on CPR quality during simulated CPA5. This study demonstrated that the use of CPR feedback improved depth compliance by 15.4% and rate compliance by 40.1%. However, overall compliance with guidelines in the CPR feedback group was still under 40% for depth and under 75% for rate.

Data collected by this research team suggests that a variety of factors may influence the effectiveness of real-time CPR feedback. CPR providers interviewed after a simulated cardiac arrest report that they often are distracted by other events while providing CPR, are unable to clearly see the device, or have difficulty interpreting the visual display on the CPR feedback device. Additionally, many providers' perception of CPR quality is inaccurate, with providers consistently overestimating the quality of CPR provided during simulated CPA, even when using CPR feedback. This suggests a need to improve provider perception of CPR and provider awareness of the CPR feedback device.

To improve the quality of CPR the investigators propose the implementation of a standardized resuscitation team structure with a CPR coach. To date, there have been no studies describing the optimal team structure required for integration of CPR feedback defibrillators during CPA. In this study,the investigators propose the concept of a CPR coach, whose primary responsibility is to provide real-time coaching during cardiac arrest to improve the quality of CPR. Preliminary pilot work done in the intensive care unit at Johns Hopkins Children's Hospital suggests that use of a CPR coach improves the quality of CPR in comparison prior teams that functioned without a CPR coach. This study will assess the impact of a CPR Coach for improving CPR quality and CPR perception in a team of healthcare providers during simulated CPA.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
180 participants
Allocation:
Randomized
Intervention Model:
Factorial Assignment
Masking:
None (Open Label)
Primary Purpose:
Other
Official Title:
Optimizing Integration of CPR Feedback Technology With CPR Coaching for Cardiac Arrest
Anticipated Study Start Date :
Sep 1, 2017
Anticipated Primary Completion Date :
Jan 1, 2019
Anticipated Study Completion Date :
Jan 1, 2019

Arms and Interventions

Arm Intervention/Treatment
No Intervention: Teams with no CPR Coach

This will be a standardized Resuscitation team with no CPR Coach

Experimental: Teams with CPR Coach

This will be a standardized Resuscitation team where one member will be the CPR Coach and provide CPR Coaching to the team.

Other: CPR Coaching
Teams in the experimental arm will have a member of their team assigned to be the CPR Coach. This person will provide CPR Coaching in the form of feedback in CPR quality (depth, rate) to the CPR providers as well as provide guidance on time for defibrillation, etc.

Outcome Measures

Primary Outcome Measures

  1. CPR Depth [During simulation scenario -Day 1]

    Proportion of 1 minute epochs of CPR with depth of 5cm to 6cm

Secondary Outcome Measures

  1. CPR Rate [During simulation scenario - Day 1]

    Proportion of 1 minute epochs of CPR with rate of 100-120 beats per minute

  2. Chest Compression Fraction [During simulation scenario - Day 1]

    Percentage of time that compressions are provided during pulselessness

  3. Perception of CPR Quality - Depth [Data collected immediately following the simulation session - Day 1]

    Perceived quality of CPR depth will be collected by survey following the simulated cardiac arrest event. Survey data will be compared with measured quality of CPR depth from the defibrillator

  4. Perception of CPR Quality - Rate [Data collected immediately following the simulation session - Day 1]

    Perceived quality of CPR rate will be collected by survey following the simulated cardiac arrest event. Survey data will be compared with measured quality of CPR rate from the defibrillator

  5. Perception of CPR Quality - Chest compression fraction [Data collected immediately following the simulation session -Day 1]

    Perceived chest compression fraction will be collected by survey following the simulated cardiac arrest event. Survey data will be compared with measured chest compression fraction from the defibrillator

  6. Adherence to Pediatric Advanced Life Support Guidelines [Day 1 (baseline performance)]

    To assess clinical performance, the investigators will use a tool that assesses the team's performance during the simulated scenario. There will be no baseline performance measurement, and performance will be measured via retrospective video review after the simulation session is complete. Raters will be trained in the use of the Clinical Performance Tool (CPT). The tool scores items on a three point scale, with 0 = task not done, 1 = task done but not completely or 2 = task done correctly. The tool examines clinical performance specifically and not psychomotor performance. The CPT also accounts for tasks done in the incorrect sequence or done too late. This instrument has been found to produce valid data for clinical performance during PALS scenarios. For this current study, the version of this tool that will be used was modified slightly and validated in a previous multi centre trial carried out by this research team.

  7. Airway Management Performance [Day 1 (Baseline performance)]

    In order to assess airway management, the investigators will measure time to successfully intubate the manikin during the simulated scenario. There will be no baseline measurement, but rather just a report of the time to intubation during the one cardiac arrest simulation scenario (as collected by retrospective video review)

Eligibility Criteria

Criteria

Ages Eligible for Study:
N/A and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • Team Members: (i) Pediatric healthcare providers: such as nurses, nurse practitioners, respiratory therapists and residents (pediatric, emergency medicine, anesthesia, family medicine); and (ii) Basic Life Support (BLS), Pediatric Advanced Life Support (PALS) or Advanced Cardiac Life Support (ACLS) certification within the past two years;

  • Team Leaders: (i) Residents (Year 3 or 4) in pediatrics, family medicine, anesthesia, or emergency medicine training programs or fellows in pediatric emergency medicine, pediatric critical care or pediatric anesthesia subspecialty training programs; (ii) Attending physicians from pediatric intensive care, pediatric emergency medicine, general pediatrics; and (iii) PALS certification in the past two years or are PALS

Exclusion Criteria:
  • Not BLS certified

Contacts and Locations

Locations

Site City State Country Postal Code
1 University of Alabama at Birmingham Birmingham Alabama United States 35233
2 Columbia University Hospital New York New York United States 10032
3 Hasbro Children's Hospital Providence Rhode Island United States 02903
4 University of Calgary Calgary Alberta Canada T3B6A8
5 University of Alberta Edmonton Alberta Canada T6G2L9

Sponsors and Collaborators

  • Express Collaborative
  • KidSIM-ASPIRE

Investigators

  • Principal Investigator: Adam Cheng, MD, University of Calgary

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Express Collaborative
ClinicalTrials.gov Identifier:
NCT03204162
Other Study ID Numbers:
  • REB15-2187
First Posted:
Jun 29, 2017
Last Update Posted:
Jun 29, 2017
Last Verified:
Jun 1, 2017
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jun 29, 2017