Emergency Medicine and Critical care Resident’s Competency to Identify Patient Ventilator Asynchrony Using Mechanical Ventilator Waveforms Analysis in Addis Ababa, Ethiopia

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dc.contributor.advisorFinot Debebe
dc.contributor.authorWegderes Bogale
dc.date.accessioned2025-08-13T06:09:58Z
dc.date.available2025-08-13T06:09:58Z
dc.date.issued2024-01-13
dc.description.abstractpatient ventilator asynchrony (PVA) is a condition where there is suboptimal interaction between patient and mechanical ventilator. It is common and often undetected with negative impact on patient’s outcome if unrecognized and addressed. Mechanical Ventilator waveforms analysis is a non-invasive and reliable way of recognizing PVAs where advanced methods of identifying PVA are lacking, however it has not been well studied on residents working in poor setups.
dc.identifier.urihttps://etd.aau.edu.et/handle/123456789/6565
dc.language.isoen_US
dc.publisherAddis Ababa University
dc.subjectPatient Ventilator Asynchrony
dc.titleEmergency Medicine and Critical care Resident’s Competency to Identify Patient Ventilator Asynchrony Using Mechanical Ventilator Waveforms Analysis in Addis Ababa, Ethiopia
dc.typeThesis

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