Drone Delivery of an Automated External Defibrillator.
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ABSTRACT:
SUBMITTER: Rosamond WD
PROVIDER: S-EPMC7523534 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Publications
Drone Delivery of an Automated External Defibrillator.
Rosamond Wayne D WD Johnson Anna M AM Bogle Brittany M BM Arnold Evan E Cunningham Christopher J CJ Picinich Michael M Williams Billy M BM Zègre-Hemsey Jessica K JK
The New England journal of medicine 20200901 12
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Project description:BackgroundDrones are increasingly used in healthcare, and feasibility studies of deployment of Automated External Defibrillators (AED) in Out-of-hospital cardiac arrest (OHCA) have been conducted. Despite the potential contribution of drones to healthcare, regulatory barriers exist, including limits on flights beyond visual line-of-sight (BVLOS). The aim of this project was to deliver an AED BVLOS in Wales.MethodsWe developed of a Concept of Operations (CONOPS) to identify requirements, constraints, organisation and roles and responsibilities associated with deploying a drone to deliver an AED BVLOS. We equipped a Penguin B drone with satellite-enabled technology to enhance situational awareness and safety for the remote pilot. A BVLOS Operating Safety Case and three-week flight test programme was conducted with an AED attached directly to parachute for deployment to simulated OHCA.ResultsWe completed six flights totalling 92km, 1:02.5 hours of flight time and four successful parachute payload drops. We conducted a successful end-to-end flight demonstration of an AED delivered via BVLOS by drone to a simulated OHCA and resuscitation by lay responder's in a remote location; the final delivery of 4.5km was completed in 2:50 minutes.ConclusionWe have delivered an AED by parachute, from fixed wing drone BVLOS in the UK in simulated OHCA. This project adds to the body of knowledge required for regulatory assurance on drone use BVLOS. Further research is needed before routine use of this technology.
| S-EPMC8592459 | biostudies-literature
Project description: Not available
| S-EPMC11581478 | biostudies-literature
Project description:BackgroundPublic access defibrillation programs can improve survival after out-of-hospital cardiac arrest, but automated external defibrillators (AEDs) are rarely available for bystander use at the scene. Drones are an emerging technology that can deliver an AED to the scene of an out-of-hospital cardiac arrest for bystander use. We hypothesize that a drone network designed with the aid of a mathematical model combining both optimization and queuing can reduce the time to AED arrival.MethodsWe applied our model to 53 702 out-of-hospital cardiac arrests that occurred in the 8 regions of the Toronto Regional RescuNET between January 1, 2006, and December 31, 2014. Our primary analysis quantified the drone network size required to deliver an AED 1, 2, or 3 minutes faster than historical median 911 response times for each region independently. A secondary analysis quantified the reduction in drone resources required if RescuNET was treated as a large coordinated region.ResultsThe region-specific analysis determined that 81 bases and 100 drones would be required to deliver an AED ahead of median 911 response times by 3 minutes. In the most urban region, the 90th percentile of the AED arrival time was reduced by 6 minutes and 43 seconds relative to historical 911 response times in the region. In the most rural region, the 90th percentile was reduced by 10 minutes and 34 seconds. A single coordinated drone network across all regions required 39.5% fewer bases and 30.0% fewer drones to achieve similar AED delivery times.ConclusionsAn optimized drone network designed with the aid of a novel mathematical model can substantially reduce the AED delivery time to an out-of-hospital cardiac arrest event.
| S-EPMC5516537 | biostudies-literature
Project description:BackgroundPublic automated external defibrillator (AED) registries aim to increase layperson defibrillation for victims of out-of-hospital cardiac arrest. This study aims to characterize Canadian AED registries and the process by which these databases are updated and used.MethodsA survey was administered to representatives from each eligible AED registry. Collected data included information on registry management, AED validation process, linkage to emergency medical dispatch (EMD), and number of AEDs per registry. Three unregistered AEDs in each region were then located and registered into their respective registry. The primary endpoint was the proportion of AEDs that became visible in the registry within 1 month.ResultsOf the 9 Canadian provinces that have registries, 7 are provincial, whereas 2 contain smaller independent registries. The survey was completed by 90% of contacted registries. The number of AEDs per registry ranged from 21 to 443 per 100,000 persons. Six registries are managed by a provincial government, 6 use a standardized validation process, and 8 are linked to EMD. Of the 21 AEDs registered by our study personnel in 7/10 registries, 9 (43%) were made available to the public within 1 month of registration. Only 1 registry employed an AED validation process that included direct contact with AED managers.ConclusionsCanadian public AED registries demonstrate significant differences in their governance and administrative processes. A majority of registries are integrated with EMD for out-of-hospital cardiac arrest, but not all registries use a standardized validation process to ensure accuracy of AED information submitted by the public.
| S-EPMC8129479 | biostudies-literature
Project description:BackgroundSurvival after out-of-hospital cardiac arrest (OHCA) in the United States is approximately 10%. Automatic external defibrillators (AEDs) are effective when applied early, yet public access AEDs are used in <2% of OHCAs. AEDs are often challenging for bystanders to locate and are rarely available in homes, where 70% of OHCAs occur. Drones have the potential to deliver AEDs to bystanders efficiently; however, little is known about the human-drone interface in AED delivery.ObjectivesTo describe user experiences with AED-equipped drones in a feasibility study of simulated OHCA in a community setting.MethodsWe simulated an OHCA in a series of trials with age-group/sex-matched participant pairs, with one participant randomized to search for a public access AED and the other to call a mock 9-1-1 telephone number that initiated the dispatch of an AED-equipped drone. We investigated user experience of 17 of the 35 drone recipient participants via semi-structured qualitative interviews and analyzed audio-recordings for key aspects of user experience.ResultsDrone recipient participants reported largely positive experiences, highlighting that this delivery method enabled them to stay with the victim and continue cardiopulmonary resuscitation. Concerns were few but included drone arrival timing and direction as well as bystander safety. Participants provided suggestions for improvements in the AED-equipped drone design and delivery procedures.ConclusionParticipants reported positive experiences interacting with an AED-equipped drone for a simulated OHCA in a community setting. Early findings suggest a role for drone-delivered AEDs to improve bystander AED use and improve outcomes for OHCA victims.
| S-EPMC7769863 | biostudies-literature
Project description:BackgroundEarly defibrillation with an automated external defibrillator (AED) is a key element in the out-of-hospital cardiac arrest (OHCA) chain. However, a public automatic defibrillator (PAD) is often not easily accessible during emergency situations. Here, we have developed an AED-based alarm system together with a smartphone Hearing AED application (APP) that would activate registered public access AED within 300 m radius from the location of an OHCA event. It also alerts nearby related personnel to bring in the AED to the OHCA location for emergency assistance. The aim of this study is to determine if this novel Hearing AED alarm system shortens the AED delivery time.MethodsThis was a randomized controlled simulation study. Participants were randomly assigned to one of the 3 groups: (a) bystander group, (b) APP responder group, and (c) AED alarm responder in equal ratios. The bystanders were stationed at the OHCA scene, and must access a nearby AED by the instruction of the dispatcher of emergency medical services. APP responders were stationed within 300 m of the cardiac arrest scene, and were activated by the Hearing AED APP. The AED alarm responders were brought to AED location, and were activated by the AED-based alarm device mounted on an AED case. We measured the time taken to find and bring the nearby AED to the OHCA scene. The primary outcome was the total delivery time in each group. The secondary outcomes were times needed: (a) from the starting point to AED place, (b) from AED place to the OHCA scene, and (c) the operation time.ResultsWe enrolled 90 participants in this study. The total AED delivery times were significantly different across the 3 groups. The shortest time was in the AED alarm responder group, compared with the other two groups. The median time from the starting point to AED was statistically shorter in the bystander group than in the APP responder group (116.0 sec, IQR 80.0-135.0 vs 159.0 sec, IQR 98.5-200.5, p = 0.029). In the analysis with the general linear model, we found statistically shorter total AED delivery time in the AED alarm responder group (β = -122.4, p = 0.004). In contrast, the APP responder group was associated with a markedly longer total AED delivery time (β = 104.6, P=0.016).ConclusionIn this simulation study, the Hearing AED system contributed to shortening the AED delivery time. Further studies are needed to determine its validation in the real world situation in the future.
| S-EPMC11459000 | biostudies-literature
Project description:Treating potential polluted water sources is urgent and challenging, especially for natural water sources. Numerous research groups focus on either smart water monitoring or new adsorbent. However, either aspect alone is insufficient for complex nature water source treatment. Here, integrating the state-of-art machine learning technique, a sustainable silk-based bioadsorbent, and wireless Internet of Things, an integrated automated drone-delivery solar driven onsite water monitoring & treatment system (WMTS) for the contaminated nature water sources is developed. In short, the embedded sensors and microprogrammed control unit capture and upload the real-time monitoring data to the cloud server for data analysis and optimized treatment strategy. Meanwhile, a grid map system based on the satellite remote sensing images directs the minimum number of WMTS units to cover the entire polluted region. Finally, unmanned aerial vehicles provide autonomous dispatch, operation, and maintenance, especially in hard-to-reach sites. Overall, this work offers a general, sustainable, energy-efficient, and closed-loop solution toward efficiently alerting and on-site treating nature water source contamination.
| S-EPMC10460888 | biostudies-literature
Project description:BackgroundTimely use of an automated external defibrillator (AED) improves outcomes in sudden cardiopulmonary arrest (SCA). Our project aims were to: 1) identify the barriers to optimal AED use in the Québec City area elementary schools; 2) create targeted educational material regarding AEDs; and 3) measure the impact of the teaching module.MethodsUsing a quality improvement in health-care framework, a survey exploring the barriers to AED use was sent to 139 elementary schools. We then developed a video teaching module on using AEDs to address these barriers. A convenience sample of 92 elementary school professionals participated in a mock scenario. Metrics related to AED use were assessed at baseline and after completing the post-teaching module. The primary outcome was the time to first shock and secondary outcomes consisted of evaluating the completion of each step required for safe and effective AED use.ResultsThe barrier analysis survey received a response rate of 52.5%. Most schools reported having an AED (95%), but 48.6% indicated that no formal training was offered. After the teaching module, the appropriate use of the AED in an SCA simulation improved from 53% to 92% (P < 0.001). The average time elapsed before first shock was 66 (95% confidence interval [CI], 63-70) seconds at baseline compared with 47 (95% CI, 45-49) seconds post-teaching module (P < 0.001).ConclusionsLack of training, the main barrier to optimal use of AEDs in elementary schools, can be addressed through a brief video teaching module, thus improving the ability to deliver timely and effective defibrillation.
| S-EPMC10642092 | biostudies-literature
Project description: Not available
| S-EPMC10762630 | biostudies-literature
Project description:As knowledge and attitude towards performing basic life support and using an automated external defibrillator (BLS and AED) contribute equally to improving survival after out-of-hospital cardiac arrest, we aimed to develop a measuring instrument for a validated assessment of schoolchildrens' attitude towards BLS and AED. The objective was to identify, measure, and address pertinent attitude dimensions that influence the intention to actually perform BLS and AED. We conducted a BLS and AED course for seventh and ninth grade students. Students fulfilled pre- and post-course questionnaires on attitude and intention to perform BLS and AED. The measuring instrument was developed with the use of exploratory factor analysis with application of principal component analysis and confirmatory factor analysis with application of structural equation modeling. Measurement invariance across different groups (gender, grades, previous courses) was tested with Wilcoxon signed ranks test and Mann-Whitney U test. Differences in attitude pre- and post-course were evaluated by application of Mann-Whitney U test. The final attitude model consisted of 3 behavioral constructs (self-confidence, positive motivation, and amotivation). Self-confidence was the major construct directly affecting the intention to act. Positive motivation had a negligible direct effect on intention but correlated strongly with self-confidence. The effect of attitude on the intention to help is therefore less complicated than was expected, which relieves the non-professional educators of having to know the specifics of the different behavioral constructs.
| S-EPMC8695745 | biostudies-literature