Chest compression quality in patients who had a cardiac arrest Circulatory System Cardiac arrest
Conditions
Interventions
In this manikin-based simulation study, participants (students from two nursing education programs) are going to be allocated to one arm of the two-arm parallel-group design using block randomisation.
Sponsors
University College Odisee
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Enrolled as a student in one of the two selected nursing education programs 2. Aged =18 years 3. Successfully completed a basic CPR training 4. Successfully completed first year of nursing education
Exclusion criteria
Exclusion criteria: Inability to use normal muscle strength in arms and trunk at the time of data collection due to an injury
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Chest compression rate is measured in the total number of compressions per min using a feedback device 2. Sternum-to-spine chest compression depth is measured in mm using a feedback device 3. Hand positioning is measured in scores out of 100 using a feedback device | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. The predictive effect of body height (cm), body weight (kg), hand positioning (scores out of 100), and mattress type (dynamic overlay mattress or not) on depth and frequency of chest compressions measured using a feedback device | — |
Countries
Belgium
Outcome results
None listed