Emergency and critical care medicine residents’ competency to identify patient ventilator asynchrony using a mechanical ventilator waveform analysis in Addis Ababa, Ethiopia: a multicenter cross-sectional study

The overall competency of identifying PVA by MV waveforms is low among ECCM residents. Presenting or attending seminars on MV waveforms, and having lectures on mechanical ventilation (MV) were associated with increased competency of identifying PVAs by MV waveform analysis.

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Publication Details

Journal
BMC Medical Education
Published
2025-02-04
DOI
https://doi.org/10.1186/s12909-025-06748-0
Citations
2
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
3.04
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article

Emergency and critical care medicine residents’ competency to identify patient ventilator asynchrony using a mechanical ventilator waveform analysis in Addis Ababa, Ethiopia: a multicenter cross-sectional study

Merahi Kefyalew, Finot Debebe, Wegderes Bogale
2 citations
BMC Medical Education
Respiratory Support and Mechanisms
3.04
article

Emergency and critical care medicine residents’ competency to identify patient ventilator asynchrony using a mechanical ventilator waveform analysis in Addis Ababa, Ethiopia: a multicenter cross-sectional study

Merahi Kefyalew, Finot Debebe, Wegderes Bogale
article en
2 citations

Abstract

The overall competency of identifying PVA by MV waveforms is low among ECCM residents. Presenting or attending seminars on MV waveforms, and having lectures on mechanical ventilation (MV) were associated with increased competency of identifying PVAs by MV waveform analysis.

BMC Medical EducationVol. 25(1)
Addis Ababa University (ET)
Partnerships for the goals
Openalex Percentile: Top 11%
Respiratory Support and Mechanisms
3.04
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