Actively Recruiting
Effect of AED-optimized Telephone-assisted CPR Instructions on No-flow Time and Chest Compression Fraction
Led by University of Pecs · Updated on 2026-04-14
80
Participants Needed
1
Research Sites
17 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Out-of-hospital cardiac arrest (OHCA) remains a leading cause of mortality worldwide, with survival highly dependent on the immediate initiation of bystander cardiopulmonary resuscitation (CPR). Early recognition, prompt chest compressions, and rapid defibrillation are critical components of the chain of survival. Telephone-assisted CPR (T-CPR) provided by emergency dispatchers has been shown to significantly increase bystander intervention rates and improve outcomes. While the availability and use of automated external defibrillators (AEDs) further enhance survival, the optimal integration of AED use into dispatcher-guided, single-rescuer scenarios remains insufficiently studied. This prospective, randomized, controlled simulation study aims to evaluate the effect of modified telephone cardiopulmonary resuscitation (T-CPR) instructions optimized for automated external defibrillator (AED) use on no-flow time and chest compression fraction (CCF) during single-rescuer resuscitation. Participants are randomized to receive either standard T-CPR instructions or enhanced instructions focusing on minimizing interruptions in chest compressions and reducing time to first compression during AED use.
CONDITIONS
Official Title
Effect of AED-optimized Telephone-assisted CPR Instructions on No-flow Time and Chest Compression Fraction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adolescents and adults (≥16 years)
- Healthcare professionals or laypersons
- Voluntary participation
You will not qualify if you...
- Pregnant women
- People with cardio-pulmonary and musculoskeletal diseases or any other impairment that would risk harm for the volunteer while performing CPR
- Physical and/or psychological disabilities
- Technical issue during data collection
AI-Screening
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Trial Site Locations
Total: 1 location
1
University of Pécs
Pécs, Hungary, 7621
Actively Recruiting
Research Team
B
Bálint Bánfai, Ph.D.
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
TRIPLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
TREATMENT
Number of Arms
2
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