Real-time Cardiopulmonary Resuscitation Research Articles

Association of Real-Time Feedback and Cardiopulmonary-Resuscitation Quality Delivered by Ambulance Personnel for Out-of-Hospital Cardiac Arrest.

Background High-quality cardiopulmonary resuscitation (CPR) is associated with improved survival from out-of-hospital cardiac arrest and includes chest compression depth, chest compression rate, and chest compression fraction within international guideline recommendations. Previous studies have demonstrated divergent results of real-time feedback on CPR performance and patient outcomes. This study investigated the association between emergency medical service CPR quality and real-time CPR feedback for out-of-hospital cardiac arrest. Methods and Results This study collected out-of-hospital cardiac arrest data within the Capital Region of Denmark and compared CPR quality delivered by ambulance personnel. Data were collected in 2 consecutive phases from October 2018 to February 2020. Median chest compression depth was 6.0 cm (no feedback) and 5.9 cm (real-time feedback) (P=0.852). Corresponding proportion of guideline-compliant chest compressions for depth was 16.6% and 28.7%, respectively (P<0.001). Median chest compression rate per minute was 111 and 109 (P<0.001), respectively. Corresponding guideline adherence proportion for compression rate was 65.4% compared with 80.4% (P<0.001), respectively. Chest compression fraction was 78.9% compared with 81.9% (P<0.001), respectively. The combination of guideline-compliant chest compression depth and chest compression rate simultaneously was 8.5% (no feedback) versus 18.8% (feedback) (P<0.001). Improvements were not significant for return of spontaneous circulation (odds ratio [OR], 1.08 [95% CI, 0.84-1.39]), sustained return of spontaneous circulation (OR, 1.00 [95% CI, 0.77-1.31]), or survival to hospital discharge (OR, 0.91 [95% CI, 0.64-1.30]). Conclusions Real-time feedback was associated with improved guideline compliance for chest compression depth, rate, and fraction but not return of spontaneous circulation, sustained return of spontaneous circulation, or survival to hospital discharge. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04152252.

Comparison of the CPR Feedback Device Effect on the Effective Technique of the CPR in Two Modes of the Device Warning Being On and Off.

Out-of-hospital cardiac arrest is a major public health problem with over 90% case fatality. Although it is known that good quality of cardiopulmonary Resuscitation (CPR) leads to improved patient outcomes, health care practitioners commonly perform sub-optimal CPR. The CPR feedback device is a small device designed to measure the number and depth of chest compressions (CC) and if the rate of compressions or the depth of the compressions is low or high, it will try to correct the CPR operation by announcing a warning to the resuscitator. The aim of this study was to evaluate the effectiveness of this device which was designed and made by the authors' technician study group member in improving CPR operations, to determine the need for it in all hospitals on a routine basis. This cross-sectional study was performed on patients who have suffered from cardio-pulmonary arrest in Al-Zahra Hospital in 2020. Patients needed primary CPR for any reason, were randomly divided into two groups using random allocation software. The first group contains patients as the CPR Feedback device is on and alarm is on and warns, if resuscitation is ineffective, the second group also uses the device, but with the difference that the alarm is off. The data was analyzed by general linear model method (repeated measure ANOVA). 80 patients were studied, including 63 men (79%) and 17 women (21%). Patients were divided among two groups. There was no significant difference in demographic characteristics between two groups. The results showed that there was no significant interaction between group and time for the compression depth variable and there was no significant difference in the depth of compressions between the two groups(P>0.05). For the rate of compressions, there was a significant interaction between group and time. These results indicate that turning on the CPR feedback device's warning increases the number of compressions during CPR and, as a result, makes it more effective. The between-group effect which showed the difference in the number of compressions in the two groups, was statistically significant (P<0.001). These results indicated that turning on the CPR feedback device's warning increases the rate of compressions during CPR and, as a result, makes it more effective. Therefore, the use of real-time CPR feedback device during chest compression in real-time CPR improves the quality of CPR.

Abstract 131: Perceived Exertion And Physical Demand Of Performing 10-minutes Of Compression-only CPR

Cardiopulmonary resuscitation (CPR) is physically demanding and must also be performed under emotional distress. Most cardiac arrests (CA) occur at home, making it likely that only one rescuer is available to perform CPR until emergency medical services (EMS) or other lay rescuers arrive. We performed a study to quantify the physical exertion required of lay-providers performing compression-only CPR for 10 minutes both with (WFB) and without (WOFB) real-time CPR quality feedback. We recruited healthy, CPR certified lay individuals to perform 10-minute rounds of CPR on two occasions: once WFB and once WOFB. We collected heart rate (HR), oxygen consumption (VO 2 ), and rating of perceived exertion (RPE) at baseline and throughout each round of CPR and collected capillary lactate and blood pressures pre- and post-CPR. We used Kruskal Wallis, Wilcoxon signed rank and rank sum tests to compare changes in measures during CPR. Participants were 15 females and 11 males, age 25 (IQR 22-37). All measures except for diastolic blood pressure, significantly changed over time. Systolic blood pressure increased both WFB (mean difference (MD) 8mmHg; 95% CI 12-5) and WOFB (MD 8mmHg; 95% CI 12-3). VO 2 and HR increased over time, but peak VO 2 and HR did not differ by group. RPE significantly increased WFB and WOFB (WFB MD 8; 95% CI 10-7; WOFB MD 8; 95% CI 9-7) WFB and WOFB, with females reporting a higher RPE immediately post-CPR WFB than males (MD 2; 95% CI 5-1). Lactate increased from baseline immediately post (WFB MD 2.3mmol/L; 95% CI 0.9-3.7; WOFB MD 1.8mmol/L; 95%CI 2.6-1) and 5-minutes post CPR (WFB MD 0.8mmol/L; 95% CI 2.3-0.7; WOFB MD2.1 mmol/L; 95% CI 0.9-3.3). CPR produces subjective and objective signs of strenuous exertion in both men and women. The presence of feedback does not alter physiologic response to prolonged CPR. However, females reported higher RPEs when performing CPR WFB, despite no significant difference in physiologic response.

A Smartphone application to provide real-time cardiopulmonary resuscitation quality feedback

BackgroundQuality of cardiopulmonary resuscitation (CPR) contributes significantly to outcomes. Key determinants of CPR quality pertaining to chest compressions are compression rate, compression depth, duration of interruptions, and chest recoil. Several studies have demonstrated that real-time audiovisual feedback improves CPR quality. We hypothesize that a mobile application using sensor data from built-in accelerometers in smartphones can provide accurate chest compression quality feedback in real time. This study aims to develop and validate an application for smartphone which can provide real-time audiovisual and haptic feedback on determinants of CPR quality. MethodsA mobile application was developed to detect the compression depth and compression rate in real time using data captured from a smartphone's intrinsic accelerometer. The mobile device was placed on an adult manikin's chest at the point of compressions. In a simulated environment, data obtained using the application was compared directly to data obtained from a validated standard CPR quality tool. ResultsCPR quality parameters were obtained from the application and industry standard for 60, 30s-long sessions. Bland-Altman plot analysis for compression depth showed agreement between the app measurements and standard within ±4 mm (<10% error). The interclass correlation for agreement in the measurement of compression count was 0.92 (95% CI: 0.88–0.95), indicative of very strong agreement. ConclusionsSmart device applications using acceleration sensor data derived from smart phones can accurately provide real-time CPR quality feedback. With further development and validation, they can provide a ubiquitously available CPR feedback tool valuable for out-of-hospital arrests and in-hospital arrests in under-privileged areas.

Abstract 298: Predicting Pulse Status During Cardiopulmonary Resuscitation Using Dimensionality Reduction of Electrocardiogram Wavelet Transforms

Background: Current resuscitation protocols require pausing cardiopulmonary resuscitation (CPR) to check for a pulse. However, pausing CPR during a pulseless rhythm worsens patient outcome. We designed an ECG-based algorithm that predicts pulse status during uninterrupted CPR, and evaluated its performance both with and without CPR. Methods: We evaluated 383 patients who were treated for out-of-hospital cardiac arrest using defibrillators with real-time ECG, CPR, and audio recordings. We collected paired adjacent ECG segments with and without CPR during organized rhythms. Segments were collected during the 10-s CPR period just prior to pulse check, and 5-s segments without CPR during the pulse check. ECG segments with or without a pulse were identified by the audio annotation and recorded blood pressures. Patients were randomly divided into 60% (230/383) training and 40% (153/383) test groups. From training data, we developed an algorithm to predict clinical pulse status based on the wavelet transform of the bandpass-filtered ECG, applying principle component analysis (PCA). We then trained a linear discriminant model using 3 principle component modes as input features. Model performance was evaluated on test group segments with and without CPR using receiver operating curves overall and according to initial arrest rhythm. Results: There were 230 patients (540 pulse checks) in the training set and 153 patients (372 pulse checks) in the test set. In both of these sets, about 16% (37/230 and 25/153) of the patients presented with initial non-shockable rhythm . Overall 38% (351/912) of checks had a spontaneous pulse. The areas under the receiver operating characteristic curve (AUCs) for predicting pulse status with and without CPR on test data were 0.84 and 0.89, respectively. Conclusion: A novel ECG-based algorithm demonstrates potential to improve resuscitation by predicting presence of a spontaneous pulse without pausing CPR.

Abstract 315: Time Adaptive Model for Real-time Cardiopulmonary Resuscitation Outcome Prediction: A Nationwide Out-of-hospital Cardiac Arrest Study

Background: OHCA patients use lots of hospital resources, and predicting prognosis is important in decision making for patient treatment. However, no algorithm can predict survival to hospital discharge rates in real-time. Aim: This study aimed to develop and validate the time adaptive model for real-time outcome prediction of OHCA patients. Methods: We performed a retrospective observational study using data from the Korea OHCA Registry in South Korea. In this study, we exclude patients with trauma, experienced ROSC before arriving in the ED, and patient who did not execute CPR in ED to select patients who executed CPR in ED. To develop the time adaptive prediction model, we organize training dataset as ongoing CPR patients by the minute. We used XGBoost as a machine-learning method and find the area under the receiver operating characteristic curve (AUROC) and predict the probability of the time adaptive prediction model. Results: The entire study population is 67270 and the majority were male patients (64%) with a median age of 70 years (IQR 23 years); 2632 (4.0%) had a shockable first documented rhythm at the ED. The subject was split into derivation and validation datasets at a ratio of 8 to 2. The AUROC of the model is 0.72 when the CPR starts, 0.68 after 30 minutes, and 0.62 after 60 minutes. Prediction probability of the time adaptive prediction model is shown in Fig. 1. Conclusions: We developed and validated the time adaptive prediction model by training ongoing CPR patients by minute to predict the CPR outcome of OHCA patients in real-time. This study showed the potential of a machine-learning-based algorithm model for decision making of patients about the termination of resuscitation.

Impact of an untrained CPR Coach in simulated pediatric cardiopulmonary arrest: A pilot study

AimTo determine if an untrained cardiopulmonary resuscitation (CPR) Coach, with no access to real-time CPR feedback technology, improves CPR quality. MethodsThis was a prospective randomized pilot study at a tertiary care children's hospital that aimed to integrate an untrained CPR Coach into resuscitation teams during simulated pediatric cardiac arrest. Simulation events were randomized to two arms: control (no CPR Coach) or intervention (CPR Coach). Simulations were run by pediatric intensive care unit (PICU) providers and video recorded. Scenarios focused on full cardiopulmonary arrest; neither team had access to real-time CPR feedback technology. The primary outcome was CPR quality. Secondary outcomes included workload assessments of the team leader and CPR Coach using the NASA Task Load Index and perceptions of CPR quality. ResultsThirteen simulations were performed; 5 were randomized to include a CPR Coach. There was a significantly shorter duration to backboard placement in the intervention group (median 20s [IQR 0–27s] vs. 52s [IQR 38–65s], p=0.02). There was no self-reported change in the team leader's workload between scenarios using a CPR Coach compared to those without a CPR Coach. There were no significant changes in subjective CPR quality measures. ConclusionsIn this pilot study, inclusion of an untrained CPR Coach during simulated CPR shortened time to backboard placement but did not improve most metrics of CPR quality or significantly affect team leader workload. More research is needed to better assess the value of a CPR Coach and its potential impact in real-world resuscitation.

Effect of Audiovisual Cardiopulmonary Resuscitation Feedback Device on Improving Chest Compression Quality

The one month survival rate after out-of-hospital cardiac arrest (OHCA) in the paediatric population remains low. Improving survival in paediatric OHCA by enhancing the quality of cardiopulmonary resuscitation (CPR) is important. In this study, we aimed to analyse the factors associated with CPR quality by using a real-time feedback device. Participants were prospectively divided into 4 groups: paediatric research fellows, paediatric residents, medical students (clerks), and paediatric critical care nurses. Then, the participants were asked to perform 5 cycles of CPR on a paediatric simulation manikin without prompts from feedback devices, and to repeat another 5 cycles of CPR after education with the 2015 paediatric advanced life support guidelines. A total of 75 participants were evaluated. In the overall analysis, an improvement in the percentage of participants meeting the target compression rate was observed (from 49.82% to 71.23%, P < 0.001). The percentage of participants achieving the target compression depth improved from 73.77% to 85.63% (P = 0.005). Among the 4 groups, the residents showed the most significant improvement in both compression rate (from 48.41% to 86.57%, P < 0.001) and compression depth (from 63.50% to 95.57%, P < 0.001). Inappropriate rate was a more important factor resulting in inadequate CPR performance than inappropriate depth. An excessive compression rate was also a common problem. In conclusions, the real-time CPR feedback device may help clinical physicians and nurses in improving the quality of chest compression. Excessive CPR compression rate may be a major cause of inadequate CPR performance.

Emergency Department Ergonomic Redesign Improves Team Satisfaction in Cardiopulmonary Resuscitation Delivery: A Simulation-Based Quality Improvement Approach.

Delivering high-quality cardiopulmonary resuscitation (CPR) requires teams to administer highly choreographed care. The American Heart Association recommends audiovisual feedback for real-time optimization of CPR performance. In our Emergency Department (ED) resuscitation bays, ZOLL cardiac resuscitation device visibility was limited. To optimize the physical layout of our resuscitation rooms to improve cardiac resuscitation device visibility for real-time CPR feedback. A simulated case of cardiac arrest with iterative ergonomic modifications was performed four times. Variables included the locations of the cardiac resuscitation device and of team members. Participants completed individual surveys and provided qualitative comments in a group debriefing. The primary outcome of interest was participants' perception of cardiac resuscitation device visibility. The highest scoring layout placed the cardiac resuscitation device directly across from the compressor and mirrored the device screen to a television mounted at the head of the bed. Comparing this configuration to our standard configuration on a five-point Likert scale, cardiac resuscitation device visibility increased 46.7% for all team members, 150% for the team leader, and 179% for team members performing chest compressions. An iterative, multidisciplinary, simulation-based approach can improve team satisfaction with important clinical care factors when caring for patients suffering cardiac arrest in the ED.

Improving paediatric cardiac arrest outcomes: cpr quality improvement collaborative (CPR-QUIC)

Introduction: Cardiopulmonary Resuscitation (CPR) guidelines recommend target values for selected CPR parameters related to rate and depth of chest compressions. International experts in resuscitation science have incorporated real-time CPR feedback into clinical practice and have demonstrated improved functional outcomes after cardiac arrest. Recent technological developments using accelerometer-based measurements incorporated into defibrillator systems, allow for real-time monitoring and feedback of CPR quality during resuscitation attempts. Aims: To improve the quality of CPR delivered to cardiac arrest patients in a paediatric intensive care unit (PICU) using defibrillators with real-time CPR feedback. To determine the association between quantitative CPR measures and patient outcomes after cardiac arrest. Methods: A bedside resuscitation training program was designed for the implementation of real-time CPR feedback devices. Medical and nursing staff were taught to interpret CPR metrics (depth and rate) on task trainers and CPR quality feedback training was incorporated into simulation-based education. Real-time CPR feedback technology was implemented in February 2019 and quantitative chest compression data was collected on all cardiac arrests in PICU. The data from each CPR event, metrics and time to defibrillation, was analysed. The arrest event data was reported to an international study collaborative to help determine the association between chest compression mechanics and patient outcomes. Results: Real-time CPR feedback used during resuscitation training improved staff performance. Since implementation, real-time CPR feedback was used in four arrest events and all patients survived to discharge from intensive care. The implementation of the project led to the standardisation of resuscitation training, cardiac arrest management and facilitated local process change within the PICU. Conclusion: We were the first institution in Australia to report paediatric cardiac arrest data for international benchmarking to improve patient outcomes after cardiac arrest. The CPR data collected provided objective feedback to resuscitation teams and guided training in order to improve performance.

Abstract 240: Smartphone Application to Provide Real-Time Cardiopulmonary Resuscitation Quality Feedback

Introduction: Quality of cardiopulmonary resuscitation (CPR) contributes significantly to morbidity and mortality in both in-hospital and out-of-hospital cardiac arrest. Key parameters that determine the CPR quality are compression rate, compression depth, duration of interruptions, chest recoil factor and respiratory rate. Several studies have demonstrated that real-time audiovisual feedback improves CPR quality in both bystanders and hospital staff. This study aims to develop and validate a smart device (phones and wearable technology) application to provide real-time audiovisual and haptic feedback to optimize CPR quality, by calculating aforementioned chest compression parameters. Hypothesis: A mobile application using acceleration sensor data from smart devices can provide accurate real time CPR quality feedback. Methods: A mobile application was developed to track the compression depth, compression rate and pause duration in real time using the data captured from the on-device accelerometer. The mobile device was placed on an adult manikin’s chest along the midline close to the point of compressions. Data from the application was compared directly to data obtained from a validated clinical standard CPR quality tool. Results: CPR quality parameters were obtained from the app and the standard for 60, 10-second-long sessions. Bland-Altman plot analysis for compression depth showed agreement between the app measurements and standard within +/-3.5mm (Figure 1). The intraclass correlation for agreement in the measurement of compression count was 0.92 (95% CI: 0.88-0.95), indicative of very strong agreement. Conclusions: Smart device (phones and wearable technology) applications using acceleration sensor data can accurately provide real-time CPR quality feedback. With further development and validation they can provide a ubiquitous CPR feedback tool valuable for out of hospital arrests and in under-privileged areas worldwide.

Abstract 296: Quality Analysis of Cardiopulmonary Resuscitation From Two Emergency Medical Service Systems Using a Feedback Device

Background: High quality cardiopulmonary resuscitation (CPR) plays a critical role in the success of out-of-hospital resuscitation from sudden cardiac arrest (SCA). AHA guidelines provide protocol to achieve recommended targets for CPR quality metrics including chest compression fraction (CCF), percentage of chest compressions (CCs) with full chest recoil, CC rate and CC depth. Our objective was to report the CPR quality of two emergency medical services (EMS) agencies with different basic life support (BLS) CPR protocols. Methods: Data from 673 patients, 2015 to 2017, suffering out-of-hospital SCA were obtained from Philips FR3 AEDs. The Philips Q-CPR tool was used for real-time CPR feedback, and CC waveforms were recorded for retrospective CPR analysis using Philips Event Review Pro 5.0 and custom software. The two EMS systems had BLS protocol differences: Site 1(King County, WA, n = 93) applied a compression - ventilation ratio of 30:2, while Site 2 (Mecklenburg County, NC, n = 580) applied 200 compressions in each CPR interval and ventilations were performed during CCs. Analyses were performed comparing CPR metrics between sites and to AHA targets. Results: There were 3,460 minutes of resuscitation data analyzed, representing the initial phase of resuscitation prior to ALS. The proportion of cases with shocks was 21.5% (20 of 93) for site 1 and 16.9% (98 of 580) for site 2 (p = 0.3). Both sites achieved guideline metrics though there were statistical differences (Table 1). Compared to site 1, site 2 was associated with a higher CCF, faster CC rate, but less CC depth on average (p &lt; 0.001). Conclusions: High quality CPR defined by AHA guidelines was achieved with both sites during the early phase of AED resuscitation though some differences were observed. Additional investigation should identify equipment, or rescuer characteristics that are important to consistently achieve high quality CPR and how the combination might be tailored to optimize individual patient outcome.

Real-Time Audiovisual Feedback Training Improves Cardiopulmonary Resuscitation Performance: A Controlled Study.

The aim of the study was to quantitatively measure the effect of teaching cardiopulmonary resuscitation (CPR) using a real-time audiovisual feedback manikin system on first-year medical student's CPR performance. This is a prospective, manikin-based intervention study, including 2 consecutive classes of medical school students enlisted to a mandatory first aid course. One class (control group) was taught using manikin-based standard CPR education models. The second class (intervention group) was taught similarly, but with the addition of real-time CPR quality feedback provided by the manikins. Students' performance was assessed using a standardized Objective Structured Clinical Examination scenario, during which no real-time feedback was provided. Critical CPR parameters were measured including compression depth, chest recoil, ventilation volume, and "hands-off" time. A total of 201 participants were included in the study, 106 in the control group and 95 in the intervention group. Baseline demographic characteristics and previous medical knowledge were similar for the 2 groups. A significant improvement was observed for all primary study outcomes in favor of the real-time feedback group for median (interquartile range) chest compression fraction [57 (52.75%-60%) vs. 49 (43%-55%), P < 0.001], compressions with adequate depth [66.5 (19.5%-95.25%) vs. 0 (0%-12%), P < 0.001], ventilations with adequate volume [68.5 (33%-89%) vs. 37 (0%-70%), P < 0.00], and a simulator-derived composite "total CPR score" [39 (24%-61.25%) vs. 13 (3.5%-22%), P < 0.001]. In multiple regression analysis, the real-time feedback group's performance was significantly better than the control group in all primary outcomes, adjusting for participant's characteristics of age, sex, and body mass index. The use of audiovisual feedback techniques to teach CPR improves skill acquisition with significant improvement in crucial prognosis-improving parameters, as tested in a "no-feedback" test scenario.

Real-Time Cardiopulmonary Resuscitation Feedback and Targeted Training Improve Chest Compression Performance in a Cohort of International Healthcare Providers.

Optimal cardiopulmonary resuscitation (CPR) performance is the foundation of successful cardiac arrest resuscitation. However, health care providers perform inadequate compressions. Better training techniques and real-time CPR feedback may improve compression performance. We sought to evaluate the impact of a targeted training program combined with real-time defibrillator CPR feedback on chest compression performance in an international cohort of health care providers. Physicians, nurses, respiratory therapists, and technicians from 6 hospitals in 5 countries (Taiwan, Singapore, China, Bahrain, and Kuwait) participated in a standardized resuscitation workshop. Chest compression was measured before and after didactics and activation of CPR feedback. Compressions were performed for 1min on standard CPR manikins placed on a hospital bed and backboard and measured using ZOLL R Series defibrillators. The percentage of compressions meeting target values for depth and rate were compared before and after the workshop and activation of real-time CPR feedback. No depth maximum was defined to allow for mattress compression. Chest compressions were more likely to meet targets for depth (71-95%, odds ratio [OR] 8.61 [95% confidence interval {CI} 4.42-16.77], p<0.001), rate (41-81%, OR 6.4 [95% CI 4.2-9.8], p<0.001), and both depth and rate (5-42%, OR 2.4 [95% CI 6.7-22.9], p<0.001) after the workshop and activation of real-time CPR feedback. A targeted training intervention combined with real-time CPR feedback improved chest compression performance among health care providers from various countries.

A better understanding of ambulance personnel's attitude towards real-time resuscitation feedback.

High-quality chest compressions during cardiopulmonary resuscitation (CPR) play a significant role in surviving cardiac arrest. Chest-compression quality can be measured and corrected by real-time CPR feedback devices, which are not yet commonly used. This article looks at the acceptance of such systems in comparison of equipped and unequipped personnel. Two groups of emergency medical services' (EMS) personnel were interviewed using standardized questionnaires. The survey was conducted in the German cities Dortmund and Münster. Overall, 205 persons participated in the survey: 103 paramedics and emergency physicians from the Dortmund fire service and 102 personnel from the Münster service. The staff of the Dortmund service were not equipped with real-time feedback systems. The test group of equipped personnel of the ambulance service of Münster Fire brigade uses real-time feedback systems since 2007. What is the acceptance level of real-time feedback systems? Are there differences between equipped and unequipped personnel? The total sample is receptive towards real-time feedback systems. More than 80% deem the system useful. However, this study revealed concerns and prejudices by unequipped personnel. Negative ratings are significantly lower at the Münster site that is experienced with the use of the real-time feedback system in contrast to the Dortmund site where no such experience exists-the system's use in daily routine results in better evaluation than the expectations of unequipped personnel. Real-time feedback systems receive overall positive ratings. Prejudices and concerns seem to decrease with continued use of the system.

Real-time CPR feedback and a targeted training intervention improve chest compression performance in an international cohort of healthcare providers

Background: Optimal cardiopulmonary resuscitation (CPR) performance is the foundation of successful resuscitation from cardiopulmonary arrest. Unfortunately, suboptimal performance of compressions is common among healthcare providers. Better training techniques and real-time CPR feedback may improve compression performance.

COMPARISON OF STANDARD CPR AND CPR FEEDBACK METHODS IN TERMS OF THE EFFECTIVENESS OF CHEST COMPRESSIONS DURING CARDIOPULMONARY RESUSCITATION: A RANDOMIZED CONTROLLED STUDY

Objectives & BackgroundThe primary purpose of the study was to compare the metrics on the effectiveness of chest compressions obtained through an advanced CPR (cardiopulmonary resuscitation) manikin and a real-time...

A usability study of a critical man–machine interface: Can layperson responders perform optimal compression rates when using a public access defibrillator with automated real-time feedback during cardiopulmonary resuscitation?

Objective: Many public access defibrillators (PADs) incorporate computer programs to provide audiovisual feedback to assist the user to deliver cardiopulmonary resuscitation (CPR) according to current international guidelines. This usability study assessed if a PAD integrated with a real-time audiovisual CPR feedback system can guide lay-users to optimum chest compression rates, and if it is detrimental to chest compression depth. Methods: Randomly selected volunteers (15+ years) were recruited for two experiments. Experiment 1 $(n = 156)$ assessed the time taken to achieve the “good speed” audio prompt (i.e., perform compressions at a rate of 100–120 compressions/min) and chest compression fraction (CCF). Experiment 2 $(n = 140)$ assessed the effect of rate-only CPR feedback on chest compression depth. Two devices of the same model were used: one with CPR rate feedback and the other with CPR feedback disabled. The difference in compression depths and CCF was assessed. Results: Experiment 1: A total of 136 (87.2%) participants achieved “good speed” within 45 s with a mean CCF of 90.3% recorded. Experiment 2: The device with feedback lead to a mean (standard error—SE) depth of 24.61 mm (0.99) compared with 20.08 mm (0.96) for the feedback disabled device. Analysis of covariance provided a mean significant difference (SE) of 4.52 mm (1.38 mm; p -value = 0.001) favoring the device with CPR rate feedback. Conclusions: CPR rate-only feedback was not detrimental to chest compression depth and suggests rate-only feedback may improve compression depth. Significance: The incorporation of clear, intuitive, audiovisual CPR feedback systems can assist lay-users to optimize compression rates and maintain a high CCF.

Use of Mobile Devices, Social Media, and Crowdsourcing as Digital Strategies to Improve Emergency Cardiovascular Care: A Scientific Statement From the American Heart Association.

Cardiac arrest, acute myocardial infarction (AMI), and stroke affect millions of people in the United States annually.1 Despite significant advances in medical treatments for these conditions, they remain a major public health problem and a leading cause of morbidity and mortality.1 A critical common element in optimizing care and outcomes for these conditions is the timely recognition of symptoms and initiation of treatment. For example, rapid initiation of cardiopulmonary resuscitation (CPR) is associated with improved survival from cardiac arrest.2 Similarly, early recognition and presentation after onset of symptoms of AMI and ischemic stroke enable implementation of critical therapies such as primary angioplasty and thrombolysis, which are known to improve outcomes.1 Indeed, the “Chain of Survival” for emergency cardiovascular and cerebrovascular care (ECCC) starts with prompt identification of the condition and early activation of the healthcare system to rapidly initiate care.3 Unfortunately, despite national efforts that include public education initiatives and clinical practice guideline recommendations from entities such as the American Heart Association (AHA), major gaps remain in the timely identification of symptoms and initiation of ECCC.4–6 As one example, studies of out-of-hospital cardiac arrest (OHCA) have consistently noted delays in the initiation of bystander CPR.7 For AMI, there have been advances in the provision of timely primary angioplasty for ST-segment elevation myocardial infarction (STEMI), as reflected by significant improvements in door-to-balloon times.8 However, the time from patient symptom onset to seeking care for possible myocardial infarction has not improved significantly.9,10 Similarly, for stroke, there continue to be advances in door-to-needle times, but stroke symptom recognition and seeking of treatment by patients and their families remain a major barrier to timely stroke care.11–16 Public and clinician education efforts alone are not sufficient to reduce gaps …

Perception of CPR quality: Influence of CPR feedback, Just-in-Time CPR training and provider role

AimMany healthcare providers rely on visual perception to guide cardiopulmonary resuscitation (CPR), but little is known about the accuracy of provider perceptions of CPR quality. We aimed to describe the difference between perceived versus measured CPR quality, and to determine the impact of provider role, real-time visual CPR feedback and Just-in-Time (JIT) CPR training on provider perceptions. MethodsWe conducted secondary analyses of data collected from a prospective, multicenter, randomized trial of 324 healthcare providers who participated in a simulated cardiac arrest scenario between July 2012 and April 2014. Participants were randomized to one of four permutations of: JIT CPR training and real-time visual CPR feedback. We calculated the difference between perceived and measured quality of CPR and reported the proportion of subjects accurately estimating the quality of CPR within each study arm. ResultsParticipants overestimated achieving adequate chest compression depth (mean difference range: 16.1–60.6%) and rate (range: 0.2–51%), and underestimated chest compression fraction (0.2–2.9%) across all arms. Compared to no intervention, the use of real-time feedback and JIT CPR training (alone or in combination) improved perception of depth (p<0.001). Accurate estimation of CPR quality was poor for chest compression depth (0–13%), rate (5–46%) and chest compression fraction (60–63%). Perception of depth is more accurate in CPR providers versus team leaders (27.8% vs. 7.4%; p=0.043) when using real-time feedback. ConclusionHealthcare providers’ visual perception of CPR quality is poor. Perceptions of CPR depth are improved by using real-time visual feedback and with prior JIT CPR training.