Evidence map›Paper›PMID 38595986›Full record

ArticleHealth science reports2024

Exploration of cardiopulmonary resuscitation teamwork training for maternal cardiac arrest using the SimMan intelligent simulation platform: A simulation teaching study.

Ruirui Zhang, Yu Liu, Mingming Zhang, Kejuan Ning, Hongliang Bai, Litao Guo

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.5field-weighted citation impact, top 9% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 1 country.

Ruirui ZhangDepartment of Critical Care Medicine 521 Hospital of Norinco Group Xi'an China.
Yu LiuDepartment of Critical Care Medicine The First Affiliated Hospital of Xi'an Jiaotong University Xi'an China.
Mingming ZhangDepartment of Critical Care Medicine 521 Hospital of Norinco Group Xi'an China.
Kejuan NingDepartment of Critical Care Medicine 521 Hospital of Norinco Group Xi'an China.
Hongliang BaiClinical Skills and Experiment Center The First Affiliated Hospital of Xi'an Jiaotong University Xi'an China.
Litao GuoDepartment of Critical Care Medicine The First Affiliated Hospital of Xi'an Jiaotong University Xi'an China.ORCID 0000-0002-6611-0902
China North Industries Group Corporation (China) · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Maternal cardiac arrest is the most urgent clinical event in obstetrics and can lead to serious consequences, such as maternal or fetal death. Therefore, the training of team cardiopulmonary resuscitation (CPR) skills for obstetricians is essential. The aim of this study was to investigate the effect of applying intelligent simulation to CPR in maternal cardiac arrest teamwork training for obstetricians. Methods: Twenty-four obstetricians who participated in the "Maternal First Aid Workshop," organized by our hospital in 2018, were selected as training participants. The SimMan intelligent comprehensive patient simulator was used to train the CPR team collaboration with first-aid skills. Each team participating in the training was assessed before and after the training using a questionnaire survey. Results: The evaluation of the results after the training showed that all four teams were qualified and that the timing of the cesarean section was 100% correct. The mean score, team collaboration score, and chest compression fraction were significantly higher than before training. Teamwork CPR assessment time, interruption time of chest compressions, and artificial airway establishment time were significantly shorter than before training. The questionnaire survey showed that 95.8% of the physicians reported that the training was rewarding and helpful to their clinical work, and 100% of the physicians believed that obstetricians require similar training. Conclusion: Using the SimMan intelligent comprehensive patient simulator to train obstetricians for CPR of maternal cardiac arrest teamwork first-aid skills can significantly improve the training effect, clinical first-aid skills, and teamwork awareness.

Indexed as

cardiopulmonary resuscitationintelligent simulatorpregnant womensimulation teachingtraining

Identifiers

PMID38595986
PMCPMC11002336
OpenAlexW4394614986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.