Pulseless Electrical Activity
Conditions
Keywords
Pulseless electrical activity, recognition, nurse
Brief summary
The Ability to recognize cardiac arrest is crucial in emergency situations and all health care professionals should be able to do so. The identification of pulseless electrical activity can be difficult even if the theoretical knowledge of this state is well known. This research will be performed at the Simulation centre of Medical Faculty, Masaryk university and it will be focused on nurses who will come to the simulation course. All the participants will get prelearning theoretical materials that will contain chapter about pulseless electrical activity and its recognition. In the beginning of the course they will be asked to fill up the questionnaire with four different pictures of patient´s monitor in cardiac arrest. It will be evaluated whether the pulseless electrical activity will be recognized.
Detailed description
The Ability to recognize cardiac arrest is crucial in emergency situations and all health care professionals should be able to do so. The identification of pulseless electrical activity can be difficult even if the theoretical knowledge of this state is well known. This research will be performed at the Simulation centre of Medical Faculty, Masaryk university and it will be focused on nurses who will come to the simulation course. All the participants will get prelearning theoretical materials that will contain chapter about pulseless electrical activity and its recognition. In the beginning of the course they will be asked to fill up the questionnaire with four different pictures of patient´s monitor in cardiac arrest. It will be evaluated whether the pulseless electrical activity will be recognized.
Interventions
OTHERPulseless electrical activity recognition
The ability of nurses to recognize the pulseless electrical activity in the questionnaire (electronic survey)
Sponsors
Department of Simulation Medicine, Faculty of Medicine, Masaryk University
Brno University Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No
Inclusion criteria
* Nurse or paramedic * Participant of simulation course organised by Department of Simulation medicine, Faculty of medicine, Masaryk university
Exclusion criteria
* No experience wiht monitoring patients by vital signs monitor
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Pulseless electrical activity recognition, | 12 months | The ability of nurses to recognize the pulseless electrical activity in the questionnaire (electronic survey) |
Countries
Czechia
Outcome results
None listed