Resuscitation
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Cardiac arrest is a time-sensitive condition requiring urgent intervention. Prompt and accurate recognition of cardiac arrest by emergency medical dispatchers at the time of the emergency call is a critical early step in cardiac arrest management allowing for initiation of dispatcher-assisted bystander CPR and appropriate and timely emergency response. The overall accuracy of dispatchers in recognizing cardiac arrest is not known. It is also not known if there are specific call characteristics that impact the ability to recognize cardiac arrest. ⋯ The sensitivity and specificity of cardiac arrest recognition at the time of emergency call varied across dispatch centres and did not appear to differ by dispatch algorithm/criteria used or education of the dispatcher, although comparisons were hampered by heterogeneity across studies. Future efforts should focus on ways to improve sensitivity of cardiac arrest recognition to optimize patient care and ensure appropriate and timely resource utilization.
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Out-of-hospital cardiac arrest (OHCA) constitutes a significant global health burden, with a survival rate of only 10-12%. Mobile phone technologies have been developed that crowdsource citizen volunteers to nearby OHCAs in order to initiate resuscitation prior to ambulance arrival. We performed a scoping review to map the available literature on these crowdsourcing technologies and compared their technical specifications. ⋯ Our review provides a comprehensive overview of crowdsourcing technologies for bystander intervention in out-of-hospital cardiac arrest. Future work should focus on clinical outcomes and methods of addressing barriers to implementation.
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Out-of-hospital cardiac arrest (OHCA) constitutes a significant global health burden, with a survival rate of only 10-12%. Mobile phone technologies have been developed that crowdsource citizen volunteers to nearby OHCAs in order to initiate resuscitation prior to ambulance arrival. We performed a scoping review to map the available literature on these crowdsourcing technologies and compared their technical specifications. ⋯ Our review provides a comprehensive overview of crowdsourcing technologies for bystander intervention in out-of-hospital cardiac arrest. Future work should focus on clinical outcomes and methods of addressing barriers to implementation.
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To assess whether any clinical decision rule for patients sustaining an in-hospital cardiac arrest (IHCA) can predict mortality or survival with poor neurological outcome. ⋯ We identified very low certainty evidence for one clinical decision rule (the UN-10 rule) that was unable to reliably predict mortality or survival with unfavorable neurological outcome for adults suffering from IHCA. We identified no evidence for children. PROSPERO CRD42020164091.
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To assess whether any clinical decision rule for patients sustaining an in-hospital cardiac arrest (IHCA) can predict mortality or survival with poor neurological outcome. ⋯ We identified very low certainty evidence for one clinical decision rule (the UN-10 rule) that was unable to reliably predict mortality or survival with unfavorable neurological outcome for adults suffering from IHCA. We identified no evidence for children. PROSPERO CRD42020164091.