Airway Management, Emergency
Conditions
Keywords
airway management, critical care, emergency, endotracheal intubation
Brief summary
The creation of an airway registry will allow an improvement in the quality of care, the safety of critically ill patients in pre-hospital situations, and a reduction in morbidity and mortality related to airway management.
Detailed description
In the care of critically ill patients in prehospital emergency settings, advanced airway management (AAM) is essential to maintain airway patency and ensure adequate oxygenation and ventilation. In Andalusia, prehospital emergency teams are composed of a physician, a nurse, and an emergency medical technician (EMT), and they operate both ground units (advanced life support ambulances) and air units (medical helicopters). AAM encompasses a wide range of processes, techniques, and complex decision-making interventions that can be key to favorable patient outcomes. However, if not performed correctly, these procedures can also lead to adverse events, poor prognosis, or preventable mortality. The increasing complexity and technological sophistication of healthcare require health systems to improve and adapt in order to deliver safe, high-quality care, where continuity and an integrated vision of care are essential. This comprehensive approach is made possible through the analysis of incidents recorded in registries, which play a key role in identifying failures in clinical practice and implementing new strategies to address them.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* All patients attended by the 061 Emergency Teams of Andalusia, with an Assistance type of request, who underwent any of the following techniques: manual ventilation, orotracheal intubation, supraglottic device insertion, or cricothyroidotomy
Exclusion criteria
* interhospital transfers, * patients who recieve this techniques before de emergency team arrives
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Calculate First-pass intubation success rate | 2 years | Intubations performed on the first attempt divided by the total number of intubations |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Development and validation of an artificial intelligence-based predictive algorithm for prehospital difficult airway | 2 years | — |
| Identify early and late complications in patients undergoing prehospital advanced airway management | from admission until day 28 of hospitalization | early complications (during out-of-hospital assistance), late complications (within the first 28 days after hospital admission) |
| calculate 28-day mortality | from admission until day 28 of hospitalization | Number of patients with mortality within the first 28 days of hospital admission |
| hospital length of stay | one year | number of days of hospitalization |
Countries
Spain