ArticleResuscitation plus2024
Do laypersons need App-linked real-time feedback devices for effective resuscitation? - Results of a prospective, randomised simulation trial.
Article in Resuscitation plus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Needs, Acceptability, and Functional Requirements of Gamified Cardiopulmonary Resuscitation Training Kits Among Children and Their Parents in China: Cross-Sectional Qualitative Study.JMIR serious games · 2026Article
- Impact of a Real-Time Feedback Device on the Quality of Chest Compressions Performed by Laypersons: A Randomised Controlled Trial.Journal of clinical medicine · 2026Article
- Release velocity ImprovemenT with a new Metronome guIding chest COmpressions: The RITMICO simulation study.Resuscitation plus · 2025Article
- Innovative Training Strategies for Public Response to Out-of-Hospital Cardiac Arrest: A Scoping Review.Risk management and healthcare policy · 2025Review
- Enhancing the Chain of Survival: The Role of Smartphone Applications in Cardiopulmonary Resuscitation.Cureus · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: App-linked real-time feedback-devices for cardiopulmonary resuscitation (CPR) aim to improve laypersons' resuscitation quality. Resuscitation guidelines recommend these technologies in training settings. This is the first study comparing resuscitation quality of all App-linked feedback-devices currently on market. Methods: A prospective randomised simulation study was performed. After standardised instructions, participants performed 2-minutes compression-only CPR on a manikin without feedback (baseline). Afterwards, participants performed 4 × 2 min CPR with four different feedback devices in randomised order (CorPatch® Trainer, CPRBAND AIO Training, SimCPR®ProTrainer, Relay Response™) (intervention). CPR metrics (chest compression depth (CD), chest compression rate (CR), percentage of correct CD/CR (%), correct hand position, correct chest recoil, and technical preparation-time) were assessed. Devices data were compared to the baseline group using Wilcoxon testing with IBM SPSS (primary outcome). Differences between devices were analysed with ANOVA testing (secondary outcome). Normally distributed data were described as mean ± standard deviation (SD) and non-normally distributed data as Median [Interquartile range (IQR). CPR self-confidence was measured by means of questionnaire before and after feedback devices' use. Comparison was performed by students Results: Forty participants were involved. SimCPR®ProTrainer was the only device, which resulted in guideline-compliant chest compressions (Mean ± SD:5.37 ± 0.76) with improved chest compression depth ( Conclusion: Although, CPR feedback devices show improved CPR performance in layperson in some metrics, none of the tested CPR feedback devices supported layperson in overall adequate CPR performance. More and better technical functionality is necessary, to fully utilise the potential of CPR feedback devices and to prevent a worsening of CPR performance when layperson use this technology.
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