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Identifying and overcoming barriers to automated external defibrillator use by GoodSAM volunteer first responders in out-of-hospital cardiac arrest using the Theoretical Domains Framework and Behaviour Change Wheel: a qualitative study.

Christopher M SmithAnne-Marie SlowtherRachael T FothergillIvo VlaevGavin D Perkins
Published in: BMJ open (2020)
GoodSAM first responders used AEDs occasionally, despite a capability and motivation to do so. Those operating volunteer first responder systems should consider our proposed interventions to improve AED use. Of particular clinical importance are: highlighting AED location and providing route/time estimates to the patient via the nearest AED. This would help single responders make appropriate decisions about AED retrieval. As AED collection may extend time to reach the patient, where there is sufficient density of potential responders, systems could send one responder to initiate CPR and another to collect an AED.
Keyphrases
  • case report
  • cardiac arrest
  • machine learning
  • physical activity
  • deep learning
  • atrial fibrillation
  • single cell
  • left ventricular