Evidence map›Paper›PMID 37798642›Full record

ArticleBMC anesthesiology2023

The effect of audiovisual feedback of monitor/defibrillators on percentage of appropriate compression depth and rate during cardiopulmonary resuscitation.

Hannah Lee, Jay Kim, Somin Joo, Sang-Hoon Na, Sangmin Lee, Sang-Bae Ko, Jinwoo Lee, Seung-Young Oh, Eun Jin Ha, Ho Geol Ryu

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03902873 (The Effect of a Real-time Audiovisual Feedback System on CPR Quality During In-hospital Cardiac Arrest), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03902873 nacompletednot on this map

The Effect of a Real-time Audiovisual Feedback System on CPR Quality During In-hospital Cardiac Arrest: A Prospective Observational Study

TypeinterventionalSponsorSeoul National University HospitalRan2018 to 2023Enrolled300ConditionsCardiopulmonary ResuscitationArmsReal-time audiovisual feedback
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hannah LeeDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-Ro 101, Jongno-Gu, Seoul, 03080, Republic of Korea.
Jay KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Somin JooDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-Ro 101, Jongno-Gu, Seoul, 03080, Republic of Korea.
Sang-Hoon NaDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Sangmin LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Sang-Bae KoDepartment of Neurology, Seoul National University Hospital, Seoul, Korea.
Jinwoo LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Seung-Young OhDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.
Eun Jin HaDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Korea.
Ho Geol RyuDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-Ro 101, Jongno-Gu, Seoul, 03080, Republic of Korea. hogeol@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh quality cardiopulmonary resuscitation (CPR) is one of the key elements of the survival chain in cardiac arrest. Audiovisual feedback of chest compressions have been suggested to be beneficial by increasing the quality of CPR in the simulated cardiac arrests.

methodsA prospective before and after study was performed to investigate the effect of a real-time audiovisual feedback system on CPR quality during in-hospital cardiac arrest in intensive care units from November 2018 to February 2022. In the feedback period, CPR was performed with the aid of the real-time audiovisual feedback system. The primary outcome was the percentage of compressions with both adequate depth (5.0-6.0 cm) and rate (100-120/minute).

resultsA total of 27,295 compressions in 30 cardiac arrests in the no-feedback period and 27,965 compressions in 30 arrests in the feedback period were analyzed. The percentage of compressions with both adequate depth and rate was 11.8% in the feedback period and 16.8% in the no-feedback period (P < 0.01). The percentage of compressions with adequate rate in the feedback period was lower than that in the no-feedback period (67.3% vs. 75.5%, P < 0.01). The percentage of beyond-target depth with the feedback was significantly higher than that without feedback (64.2% vs. 51.4%, P < 0.01).

conclusionReal-time audiovisual feedback system did not increase CPR quality and was associated with a higher percentage of compression depth deeper than the recommended 5.0-6.0 cm. It is essential to explore more effective ways of implementing feedback in real clinical settings to improve of the quality of CPR.

trial registrationNCT03902873 (study start: Nov. 2018, initial release April 2019, retrospectively registered).

Indexed as

Cardiopulmonary ResuscitationHeart ArrestControlled Before-After StudiesDefibrillatorsFeedbackHumansManikinsProspective StudiesCardiopulmonary resuscitationCompression depthFeedback device

Identifiers

PMID37798642
PMCPMC10552289

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.