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@MISC{Preu:992681,
author = {Preuß, Melanie and Röhrig, Rainer and Hübel, Christian
and Vos, Clara and Unterkofler, Jenny and Brockmann, Jörg
Christian and Willmes-von Hinckeldey, Klaus and Plata,
Christopher},
title = {{D}ataset to: „{U}sing an audiovisual feedback device
improves cardiopulmonary resuscitation performance during
day and night – a randomized controlled simulation study"},
reportid = {RWTH-2024-08349},
year = {2025},
abstract = {The study was approved by the local Ethics Committee and
registered in the German Clinical Trials Register on 22nd of
February 2022 (DRKS00027309) prior to inclusion of the first
participant. 158 medical professionals were randomized into
one of two groups: “no feedback” and “feedback”-
group. In both groups, participants carried out three
two-minute intervals of cardiopulmonary resuscitation on a
manikin at day and at night. Members of the
“feedback”-group received guidance by a feedback device.
Primary endpoint was the mean compression depth at two
time-intervals at the beginning (t1 = 30 – 60s) and the
end (t2 = 480-540s) of the experience at night. Secondary
endpoints are adequate compression depth $(\%),$ compression
frequency, correct chest recoil $(\%),$ correct hand positon
$(\%),$ effective compressions $(\%),$ mean compression
depth, no-flow time, non-sufficient compression depth
$(\%),$ too deep compression depth and regression analysis
of the participants questionaire. A three-factorial ANOVA
with two repeated measurement factors (time points day,
night; compression cycles, 1 - 3) and the grouping factor
feedback and median BMI was performed to analyze secondary
endpoints. Post-hoc analysis was carried out with
Bonferroni-correction. A p-value <0.05 was considered to
indicate a significant deviation from the respective null
hypothesis. The secondary endpoint was selected for the
linear regression analysis, as not all subject
characteristics were applicable where the primary endpoint
was concerned. First, a simple linear regression was
performed for each parameter, followed by a multiple linear
regression analysis. All data were gathered in anonymous
form and SPSS (version 29) was used for statistical
analyses.},
cin = {9200401 ; 966001 / 526500-2 ; 922710 / 535000-2 ; 933810},
cid = {$I:(DE-82)9200401_20140620$ / $I:(DE-82)526500-2_20140620$
/ $I:(DE-82)535000-2_20140620$},
typ = {PUB:(DE-HGF)32},
doi = {10.18154/RWTH-2024-08349},
url = {https://publications.rwth-aachen.de/record/992681},
}
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