BACKGROUND: Quality of chest compressions (CC) is an important determinant of resuscitation outcome for cardiac arrest patients. PURPOSE: To characterize the quality of CC performed by hospital personnel, evaluate for predictors of CC performance, and determine the effects of audiovisual feedback on CC performance. METHODS: Seven hundred and fifty four individuals participated in a CPR quality improvement challenge at 30 US hospitals. Participants performed 2min of CC on a manikin with an accelerometer-based system for measuring both rate (CC/min) and depth (in.) of CC (AED Plus:ZOLL Medical). Real-time audiovisual feedback was disabled. A subset of participants performed a second trial of CC with the audiovisual feedback prompts activated. RESULTS: Mean depth of CC was below AHA minimum guidelines (<1.5in.) for 34% (1.30+/-0.14in.) and above maximum guidelines (>2.0in.) for 12% of participants (2.20+/-0.22in.). Depth of CC was greater for male vs. female (p<0.001) and younger vs. older (p=0.009) but did not differ between ACLS, BCLS, and non-certified participants (p=0.6). Predictors of CC depth included CC rate (r(part)=-0.34, p<0.0001), gender (r(part)=0.13, p=0.001), and age (r(part)=-0.09, p=0.02). Mean depth of CC increased, mean rate decreased, and variance in CC depth and rate declined when feedback was used (p< or =0.0001 vs. without feedback). The percentage of CC performed within AHA guidelines (1.5-2in.) improved from 15 to 78% with feedback. CONCLUSIONS: The quality of CC performed by personnel at US hospitals as judged by their performance on a manikin is often suboptimal. Quality of CC can be improved with use of CPR feedback technologies.
BACKGROUND: Quality of chest compressions (CC) is an important determinant of resuscitation outcome for cardiac arrestpatients. PURPOSE: To characterize the quality of CC performed by hospital personnel, evaluate for predictors of CC performance, and determine the effects of audiovisual feedback on CC performance. METHODS: Seven hundred and fifty four individuals participated in a CPR quality improvement challenge at 30 US hospitals. Participants performed 2min of CC on a manikin with an accelerometer-based system for measuring both rate (CC/min) and depth (in.) of CC (AED Plus:ZOLL Medical). Real-time audiovisual feedback was disabled. A subset of participants performed a second trial of CC with the audiovisual feedback prompts activated. RESULTS: Mean depth of CC was below AHA minimum guidelines (<1.5in.) for 34% (1.30+/-0.14in.) and above maximum guidelines (>2.0in.) for 12% of participants (2.20+/-0.22in.). Depth of CC was greater for male vs. female (p<0.001) and younger vs. older (p=0.009) but did not differ between ACLS, BCLS, and non-certified participants (p=0.6). Predictors of CC depth included CC rate (r(part)=-0.34, p<0.0001), gender (r(part)=0.13, p=0.001), and age (r(part)=-0.09, p=0.02). Mean depth of CC increased, mean rate decreased, and variance in CC depth and rate declined when feedback was used (p< or =0.0001 vs. without feedback). The percentage of CC performed within AHA guidelines (1.5-2in.) improved from 15 to 78% with feedback. CONCLUSIONS: The quality of CC performed by personnel at US hospitals as judged by their performance on a manikin is often suboptimal. Quality of CC can be improved with use of CPR feedback technologies.
Authors: Jasmeet Soar; Mary E Mancini; Farhan Bhanji; John E Billi; Jennifer Dennett; Judith Finn; Matthew Huei-Ming Ma; Gavin D Perkins; David L Rodgers; Mary Fran Hazinski; Ian Jacobs; Peter T Morley Journal: Resuscitation Date: 2010-10 Impact factor: 5.262
Authors: Sebastian G Russo; Peter Neumann; Sylvia Reinhardt; Arnd Timmermann; André Niklas; Michael Quintel; Christoph B Eich Journal: BMC Emerg Med Date: 2011-11-04
Authors: Amir Vahedian-Azimi; Mohammadreza Hajiesmaeili; Ali Amirsavadkouhi; Hamidreza Jamaati; Morteza Izadi; Seyed J Madani; Seyed M R Hashemian; Andrew C Miller Journal: Crit Care Date: 2016-05-17 Impact factor: 9.097