![]() ![]() Participants are residents in Paediatric, Emergency Medicine, and Anaesthesiology programmes in Italy. This is a multicentre, simulation-based, randomised controlled, three-parallel-arm study. The aim of the study is to evaluate the effectiveness of the PediAppRREST app in reducing deviations from guideline recommendations in PCA management. The app received a good usability evaluation in a previous pilot trial. We developed a new interactive tablet app, named PediAppRREST, to support the management of PCA. Its management is complex and deviations from guideline recommendations occur frequently. Paediatric cardiac arrest (PCA), despite its low incidence, has a high mortality. International Clinical Trials Registry Platform of the World Health Organisation and German Register of Clinical Trials (DRKS00009903), Registered 09 February 2016 (retrospectively registered). ![]() Based on this data real-time feedback systems can be expected to raise the quality level in some parts of chest compression quality. Even the sole use of a CPR-feedback-sensor (“sensor-only CPR”) improved performance regarding pauses in compression and compression frequency, a phenomenon known as the ‘Hawthorne effect’. ![]() Compression depth did not change significantly after activation of the real-time feedback. The real-time feedback system improved chest compression quality regarding pauses in compression and compression frequency and facilitated compliance with the guideline recommendations. 54.66 mm P = 0.16), but the fraction of compressions with sufficient depth (at least 5 cm) and compressions within the recommended 5–6 cm increased significantly with sensor-feedback CPR (56.90% vs. Mean compression depth only changed minimally with sensor-feedback (52.49 mm vs. 119.15 comp/min, P = 0.008) after activation of sensor-feedback CPR (group 3). Compression frequency declined over the three study groups, reaching the guideline recommendations (127.81 comp/min vs. 87.49% P < 0.001), but there were no further differences belonging compression fraction after activation of sensor-feedback CPR (group 3) (P = 1.00). The compression fraction increased with sensor-only CPR (group 2) in comparison with no-sensor CPR (group 1) (80.1% vs. With this data, various parameters were determined in order to be able to compare the chest compression quality between the three consecutive groups. Pauses and frequency were analysed using compression artefacts on electrocardiography, and compression depth was measured using the feedback sensor. The study included 292 out-of-hospital cardiac arrests in three consecutive study groups: first group, conventional resuscitation (no-sensor CPR) second group, using a feedback sensor to collect compression depth data without real-time feedback (sensor-only CPR) and third group, with real-time feedback on compression quality (sensor-feedback CPR). For this purpose, pauses in compression, compression frequency and compression depth were compared. This prospective cohort study aimed to analyse whether chest compression quality changes when a real-time feedback system is used to provide simultaneous audiovisual feedback on chest compression quality. Contrary to this many studies show that chest compression is often carried out poorly in clinical practice, and long interruptions in compression are observed. Current guidelines underline the importance of high-quality chest compression during cardiopulmonary resuscitation (CPR), to improve outcomes. ![]()
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