The quality of chest compressions by trained personnel: The effect of feedback, via the CPREzy, in a randomized controlled trial using a manikin model

Noordergraaf, Gerrit J.; Drinkwaard, Bianca W.P.M.; Berkom, Paul F.J. van; Hemert, Hans P. van; Venema, A.; Scheffer, Gert Jan; Noordergraaf, Abraham

doi:10.1016/j.resuscitation.2005.08.008

Cited by 57 publications

(31 citation statements)

References 19 publications

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“…Heterogeneous reporting prevented some meta-analyses. There were 23 directive feedback studies 50,[191][192][193][194][195][196][197][198][199][200][201][202][203][204][205][206][207][212][213][214][215][216] showing that in comparison with no feedback devices, the use of feedback devices…”

Section: S256 Circulationmentioning

confidence: 99%

Part 8: Education, Implementation, and Teams

et al. 2015

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Section: S256 Circulationmentioning

confidence: 99%

Part 8: Education, Implementation, and Teams

et al. 2015

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“…(1)(2)(3)(4)(5)(6)(7)(8) However, at least one study has highlighted the potential problems of reliance on devices, and another study has concluded that there was no benefi t derived among trained responders. (9,10) In these studies, the feedback devices were attached to an automated external defi brillator (AED) or paired with a phone application; some were also hospital-based and could not be readily carried around by laymen.…”

Section: Introductionmentioning

confidence: 99%

Measuring the effectiveness of a novel CPRcard™ feedback device during simulated chest compressions by non-healthcare workers

White

Ng²,

et al. 2017

smedj

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RESULTS Overall, the CPRcard group achieved a better median compression rate (CPRcard 117 vs. control 122, p = 0.001) and proportion of compressions within the adequate rate range (CPRcard 83% vs. control 47%, p < 0.001). Compared to the no-card and blinded-card groups, the CPRcard group had a higher proportion of adequate compression rate (CPRcard 88% vs. no-card 46.8%, p = 0.037; CPRcard 73% vs. blinded-card 43%, p = 0.003). Proportion of compressions with adequate depth was similar in all groups (CPRcard 52% vs. control 48%, p = 0.957). The CPRcard group more often met targets for compression rate of 100-120/min and depth of at least 5 cm (CPRcard 36% vs. control 4%, p = 0.022). Chest compression fl ow fraction rate was similar but not statistically signifi cant in all groups (92%, p = 1.0). Respondents using the CPRcard expressed higher confi dence (mean 2.7 ± 2.4; 1 = very confi dent, 10 = not confi dent).CONCLUSION Use of the CPRcard by non-healthcare workers in simulated resuscitation improved the quality of chest compressions, thus boosting user confi dence in performing compressions.

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“…9 We used G -p ower 3 .1 .5 ® (Hein e Hein rich Un ivers ity, Düsseldorf, German) to calculate the sample size. Thus, the study required 21 participants to achieve 80% power using a 2-sided test with a significance level of 0.05.…”

Section: Methodsmentioning

confidence: 99%

A Randomised, Cross over Study Using a Mannequin Model to Evaluate the Effects on CPR Quality of Real-Time Audio-Visual Feedback Provided by a Smartphone Application

Park

Kang

Heo

et al. 2014

Hong Kong Journal of Emergency Medicine

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Objective:To evaluate the effect of real time feedback provided by smartphone application on cardiopulmonary resuscitation (CPR) performance. Methods: Participants were randomised in two groups based on whether chest compression with or without the assistance of the smartphone application. Both groups performed hands-only CPR on a mannequin for 4 minutes. Data on CPR performance of both groups was compared. To assess the reliability the feedback value, we compared the CPR data from Skillmeter and data from smartphone. A questionnaire survey to participants about the usefulness of the application was also evaluated. Results: Twenty-one subjects were recruited for the study. We found no significant difference in mean chest compression rate (103.35.0/min vs. 107.11.7/min; p=0.133) and depth between the two groups (47.3 [39.3, 56.2] mm vs. 45.8 [40.3, 49.9] mm; p=0.085). The proportion of adequate compression depth over the total compression was significantly higher in the group using the smartphone (38.1% vs. 22.2%; p=0.034). The CPR data displayed on smartphone application in mannequin's chest was not different from Skillmeter software. The majority of the participants considered the application easy to use, but holding the smartphone during CPR hampered compression. Conclusions: Real-time audio-visual feedback on CPR depth and rate using a smartphone application can help to maintain the adequate chest compression depth in prolonged CPR. A better method to hold the smartphone may maximise the feedback effect on CPR quality. (Hong Kong j.emerg.med. 2014;21:153-160) 目的：探討智能手機應用程式實時反饋對 CPR 表現的影響。方法：受試者根據是否使用智能手機應用程式幫助胸部按壓隨機分為兩組。兩組在人體模型進行心肺復甦術 4 分鐘。比較兩組的 CPR 表現數據。為了評估反饋的可靠性，我們比較了 Skillmeter 和智能手機的 CPR 數據。以問卷調查，了解參與者對應用程式實用性的評價。結果：二十一受試者納入研究。我們發現兩組之間在平均胸部按壓率（ 103

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The quality of chest compressions by trained personnel: The effect of feedback, via the CPREzy, in a randomized controlled trial using a manikin model

Cited by 57 publications

References 19 publications

Part 8: Education, Implementation, and Teams

Part 8: Education, Implementation, and Teams

Measuring the effectiveness of a novel CPRcard™ feedback device during simulated chest compressions by non-healthcare workers

A Randomised, Cross over Study Using a Mannequin Model to Evaluate the Effects on CPR Quality of Real-Time Audio-Visual Feedback Provided by a Smartphone Application

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