Evidence map›Paper›PMID 30269076›Full record

Trial reportBMJ open2018

Evaluation of the quality of cardiopulmonary resuscitation according to vehicle driving pattern, using a virtual reality ambulance driving system: a prospective, cross-over, randomised study.

Jin Ho Beom, Min Joung Kim, Je Sung You, Hye Sun Lee, Ji Hoon Kim, Yoo Seok Park, Dong Min Shin, Hyun Soo Chung

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
  5. Efficacy of Virtual Reality Simulation in Teaching Basic Life Support and Its Retention at 6 Months.International journal of environmental research and public health · 2023
    Article
  6. 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

8 authors.

Jin Ho BeomDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Min Joung KimDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Je Sung YouDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hye Sun LeeBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Ji Hoon KimDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yoo Seok ParkDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dong Min ShinDepartment of Paramedic Science, Korea National University of Transportation, Jeongpyeong, Republic of Korea.
Hyun Soo ChungDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse changes in the quality of cardiopulmonary resuscitation (CPR) according to driving patterns encountered during ambulance transport, using a virtual reality simulator.

designProspective, cross-over, randomised study.

settingThis study was conducted at the National Fire Service Academy, Cheonan-si, Korea.

participantsEmergency medical technicians (39 men and 9 women) attending the National Fire Service Academy for clinical training with ≥6 months field experience or having performed ≥10 CPR. Individuals who withdrew consent were excluded. OUTCOME MEASURES: CPR quality parameters (eg, chest compression depth and its variability).

resultsChest compressions were performed for 8 min each in a stationary and driving state. The mean chest compression depths were 54.8 mm and 55.3 mm during these two states, respectively (p=0.41). The SD of the chest compression depth was significantly higher while in the driving (7.6 mm) than in the stationary state (6.5 mm; p=0.04). The compression depths in the speed bump and sudden stop sections were 51.5 mm and 50.6 mm, respectively, which was shallower than those in all other sections (p<0.001). The correct hand position rate was low in the speed bump, sudden stop and right-hand cornering sections (65.4%, 71.5% and 72.5%, respectively; p=0.001)

conclusionsAlthough we found no differences in chest compression quality parameters between the stationary and driving states, the variability in the chest compression depth increased in the driving state. When comparing CPR quality parameters according to driving patterns, we noted a shallower compression depth, increased variability and decreased correct hand position rate in the speed bump, sudden stop and right-hand cornering sections. The clinical significance of these changes in CPR quality during ambulance transport remains to be determined. Future studies on how to reduce changes in the quality of CPR (including research on equipment development) are needed.

Indexed as

AmbulancesAutomobile DrivingCardiopulmonary ResuscitationEmergency Medical TechniciansVirtual RealityAdultCross-Over StudiesFemaleHumansMaleOut-of-Hospital Cardiac ArrestProspective StudiesQuality of Health CareRepublic of Koreachest compression parametersemergency medical servicesvirtual reality simulator

Identifiers

PMID30269076
PMCPMC6169751

What OpenQuestion holds

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LicenceCC BY-NC
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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.