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Background: Out-of-hospital cardiac arrest (OHCA) is associated with poor survival rates. Factors that may enable survival include cardiopulmonary resuscitation (CPR) initiated by bystanders and early use of an automated external defibrillator (AED). This explorative simulation study was conceptualized to test the feasibility of a semi-autonomously operating drone that delivers an AED to a remote emergency location and its bystander-use. Methods: Ten paramedics and nineteen laypersons were confronted with a manikin simulating an OHCA as single bystanders within a field test located in a mountainous region between Austria and Slovenia. The scenario included a mock-call to the local emergency response center that dispatched a drone towards the caller's GPS coordinates and supported the ongoing CPR. The outcomes were the successful delivery of the AED, the time to the first shock, hands-off times, and the overall performance of the CPR. Results: The AED was delivered by drone and used in all 29 scenarios without serious adverse events. The flight time of the drone was in median 5:20 (range: 1:35-8:19) minutes. The paramedics delivered the first shock after a mean of 12:15 ± 2:03 min and hands-off times were 50 ± 22 s. The laypersons delivered the first shock after 14:04 ± 2:10 min and hands-off times were 2:11 ± 0:39 min. All participants felt confident in the handling of the delivered AED. Conclusion: The delivery and usage of an AED via a semi-autonomously flying drone in a remote region is feasible. This approach can lead to early administration of shocks.
RESUMO
INTRODUCTION: COVID-19 is a respiratory infection that causes not only somatic health issues, but also frequently psychosocial burdens. The aims of this study were to investigate biopsychosocial factors that might further aggravate fear of COVID-19, and to establish a biopsychosocial model of severe fear of COVID-19. METHODS: 368 participants were included in this study. Biopsychosocial factors observed comprised biological factors (somatic risk), psychological factors (state/trait anxiety, physical symptoms of anxiety, severe health anxiety, specific phobias, depression), and psychosocial factors (social support, financial losses, social media consumption, social contacts with COVID-19 infected people). Psychometric questionnaires included State-Trait Anxiety Inventory, Beck's Anxiety Inventory, Whiteley-Index / Illness Attitude Scales, Specific Phobia Questionnaire, WHO-5 and Social Support Survey. RESULTS: 162/368 (44.0%) participants had almost no fear, 170/368 (46.2%) participants had moderate fear, and 45/368 (12.2%) participants had severe fear of COVID-19. Female participants showed higher levels of fear of COVID-19 than male participants (gender: χ2 = 18.47, p<0.001). However, the level of fear of COVID-19 increased in male participants when they had contact with people who were infected with COVID-19, while in contrast the level of fear of COVID-19 decreased in female participants when they had such contacts [ANCOVA: fear of COVID-19 (contact x gender): F(1,363) = 5.596, p = .019]. Moreover, participants without relationships showed higher levels of fear of COVID-19 (marital status: χ2 = 14.582, p = 0.024). Furthermore, financial losses due to the COVID-19 were associated with higher levels of fear of COVID-19 [ANCOVA: fear of COVID-19(financial loss x gender): F(1, 363) = 22.853, p< .001]. Multiple regression analysis revealed female gender, severe health anxiety (WI-IAS) and state /trait anxiety (STAI) as significant predictors of severe fear of COVID-19. CONCLUSION: In this study significant predictors of severe fear of COVID-19 were female gender, pre-existing state and trait anxiety, as well as severe health anxiety. The finding of significant predictors of fear of COVID-19 might contribute to detect people who might suffer most from severe, overwhelming fear of COVID-19 at an early stage.
