Monitor feedback versus instructor feedback for post-pandemic basic life support training: a randomized controlled trial among dental students

Training programs should provide monitor feedback for CC depth and instructor feedback on the CC rate to establish more effective self-study training methods. Different feedback types influence specific aspects of CPR and that further validation is required.

Authors

Institutions

Publication Details

Journal
BMC Medical Education
Published
2025-07-01
DOI
https://doi.org/10.1186/s12909-025-07480-5
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monitor feedback versus instructor feedback for post-pandemic basic life support training: a randomized controlled trial among dental students

Akari Uto, Shusei Yoshimine, Yurina Higa, K. Yamashita et al.
BMC Medical Education
Cardiac Arrest and Resuscitation
article

Monitor feedback versus instructor feedback for post-pandemic basic life support training: a randomized controlled trial among dental students

Akari Uto, Shusei Yoshimine, Yurina Higa, K. Yamashita, Mitsutaka Sugimura
article en

Abstract

Training programs should provide monitor feedback for CC depth and instructor feedback on the CC rate to establish more effective self-study training methods. Different feedback types influence specific aspects of CPR and that further validation is required.

BMC Medical EducationVol. 25(1)
Kagoshima University (JP)
Kagoshima University
Openalex Percentile: Top 75%
Cardiac Arrest and Resuscitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.