PURPOSE:The purpose of this project is developing the new efficient educational program for healthcare worker in ICU to learn trouble shooting for ventilated patients.
METHODS:We extracted the problematical points from the usual issues of mechanical ventilator management and ultimately concluded that the educational program should be focused on the assessment and correspondence to the alarm of mechanical ventilator. We developed the new algorithm for dealing with the alarms of mechanical ventilator, which is composed of 6 steps. To learn the algorithm effectively, we employed the scenario-based training used the high-fidelity patient simulator (HPS), which is a computer-controlled, life-sized mannequin that can mimic various physical findings and conditions.
RESULTS:“Mechanical ventilator trouble shooting course” is a half-day program with effective combination of lectures and practices. The value of monitoring vital signs and physical examinations on the mechanically ventilated patients was discussed in the first part of the course. The modes and settings were lectured in the second part and the participants experienced some ventilator modes by themselves. Then, the natural course of an apnetic patient who was disconnected with the ventilator was demonstrated by HPS. Finally, the algorithm was introduced and the small groups of the trainees practiced on the six scenarios used HPS, concerning to have sufficient debriefing time. The 90 co-medicals (72 nurses, 10 clinical engineers, 8 respiratory therapists) and 15 residents were participated with the course in 6 sessions from January 2007 to March 2008. The questionnaire was filled out after the sessions. More than 90% attendees answered that the course was the very useful and satisfied.
CONCLUSION:Our new “mechanical ventilator trouble shooting course” is a very useful program for healthcare workers in ICU.
CLINICAL IMPLICATIONS:The scenario-based training used HPS may be valuable in critical care education and more effort should be made for developing the new educational methods.
DISCLOSURE:Masateru Kawabata, No Financial Disclosure Information; No Product/Research Disclosure Information