title: The impact of quantitative feedback on the performance of chest compression by basic life support trained clinical staff.
abstract: BACKGROUND
  The quality of CPR is directly related to survival outcomes following sudden cardiac arrest but, CPR competency amongst nursing and medical staff is generally poor. The skills honed in CPR recertification training rapidly decline in quality, even as soon as eight weeks following the training. High frequency low dose training has been recommended to address this decay in skills. Automated training devices that provide feedback may be useful in conducting low dose training, which would assist hospitals to manage the often logistically difficult, and financially costly exercise of conducting training programs. Little evidence is published about the improvement in skills performance that can be derived from isolated feedback from these training devices.
  
  
  OBJECTIVE
  To investigate whether the feedback from an automated training device can produce performance in a 'low dose' episode of re-training on chest compressions and compression depth for CPR.
  
  
  METHODS
  A repeated measures study was conducted assessing the compression rate and depth quality over 2min using a Laerdal QCPR® simulation manikin capable of recording performance data. On-screen feedback was provided to participants between attempts. Convenience sampling recruited undergraduate and qualified nursing and medical staff who were engaged in a CPR recertification program at a major Australian private hospital.
  
  
  RESULTS
  In total, 150 participants were enrolled. Feedback from the automated training device was sufficient to produce a significant improvement in both chest compression rate (95% CI 13.3 to 19.7; p<0.001) and depth (95% CI 5.9 to 9.7; p<0.001) during the low dose training episode.
  
  
  CONCLUSIONS
  The feedback provided from an automated training device was sufficient to produce an improvement in performance in chest compressions in CPR. This demonstrates an alternate staff training model that could improve patient outcomes, and allow for higher frequency training whilst potentially reducing costs and the logistical problems many medical institutions face with staff training.
authors: 154 Wattletree Rd, Malvern, VIC 3144, Australia. Electronic address: mattjohnson@cabrini.com.au.
authors: Matthew
authors: M
authors: Johnson
authors: 154 Wattletree Rd, Malvern, VIC 3144, Australia. Electronic address: APeat@cabrini.com.au.
authors: Amanda
authors: A
authors: Peat
authors: 154 Wattletree Rd, Malvern, VIC 3144, Australia. Electronic address: lboyd@cabrini.com.au.
authors: Leanne
authors: L
authors: Boyd
authors: 154 Wattletree Rd, Malvern, VIC 3144, Australia. Electronic address: twarren@cabrini.com.au.
authors: Tanya
authors: T
authors: Warren
authors: HealthPEER Monash University, Medicine C, 10 Chancellors Walk, Clayton Campus, Monash University, VIC 3800, Australia. Electronic address: Kathryn.Eastwood@monash.edu.
authors: Kathryn
authors: K
authors: Eastwood
authors: Eastwood Consulting Services, PO Box 139, Narre Warren North, VIC 3804, Australia. Electronic address: gavin.smith@vu.edu.au.
authors: Gavin
authors: G
authors: Smith
mesh_terms: D001315:Australia; D016887:Cardiopulmonary Resuscitation / Q000193:education*; D000068156:Formative Feedback; D006801:Humans; D008348:Manikins; D009741:Nursing Staff, Hospital / Q000193:education; D010564:Personnel, Hospital / Q000193:education*; D013337:Students, Medical; D013338:Students, Nursing
keywords: CPR; Cardiac arrest; Chest compressions; Education; Nurse; Patient safety