Evidence map›Paper›PMID 28253848›Full record

Trial reportBMC emergency medicine2017

Improved recognition of ineffective chest compressions after a brief Crew Resource Management (CRM) training: a prospective, randomised simulation study.

Leopold Haffner, Moritz Mahling, Alexander Muench, Christoph Castan, Paul Schubert, Aline Naumann, Silke Reddersen, Anne Herrmann-Werner, Jörg Reutershan, Reimer Riessen and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
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

11 authors.

Leopold HaffnerDocLab, Faculty of Medicine, University of Tübingen, Elfriede-Aulhorn-Straße 10, 72076, Tübingen, Germany. Haffner.leopold@gmail.com.ORCID 0000-0003-3381-7896
Moritz MahlingDepartment of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University of Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany.
Alexander MuenchDepartment of Anesthesiology and Intensive Care Medicine, University of Tübingen, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany.
Christoph CastanDocLab, Faculty of Medicine, University of Tübingen, Elfriede-Aulhorn-Straße 10, 72076, Tübingen, Germany.
Paul SchubertDepartment of Anesthesiology and Intensive Care Medicine, Passau Hospital, Innstraße 76, 94032, Passau, Germany.
Aline NaumannInstitute for Clinical Epidemiology and Applied Biometry, University of Tübingen, Silcherstraße 5, 72076, Tübingen, Germany.
Silke ReddersenDepartment of Anesthesiology and Intensive Care Medicine, University of Tübingen, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany.
Anne Herrmann-WernerDocLab, Faculty of Medicine, University of Tübingen, Elfriede-Aulhorn-Straße 10, 72076, Tübingen, Germany.
Jörg ReutershanDepartment of Anesthesiology and Intensive Care Medicine, Bayreuth Hospital, Preuschwitzer Straße 101, 95445, Bayreuth, Germany.
Reimer RiessenDepartment of Internal Medicine, Medical Intensive Care Unit, University of Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany.
Nora CelebiPHV-Dialysezentrum Waiblingen, Beinsteiner Str. 8/3, 71334, Waiblingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest compressions are a core element of cardio-pulmonary resuscitation. Despite periodic training, real-life chest compressions have been reported to be overly shallow and/or fast, very likely affecting patient outcomes. We investigated the effect of a brief Crew Resource Management (CRM) training program on the correction rate of improperly executed chest compressions in a simulated cardiac arrest scenario.

methodsFinal-year medical students (n = 57) were randomised to receive a 10-min computer-based CRM or a control training on ethics. Acting as team leaders, subjects performed resuscitation in a simulated cardiac arrest scenario before and after the training. Team members performed standardised overly shallow and fast chest compressions. We analysed how often the team leader recognised and corrected improper chest compressions, as well as communication and resuscitation quality.

resultsAfter the CRM training, team leaders corrected improper chest compressions (35.5%) significantly more often compared with those undergoing control training (7.7%, p = 0.03*). Consequently, four students have to be trained (number needed to treat = 3.6) for one improved chest compression scenario. Communication quality assessed by the Leader Behavior Description Questionnaire significantly increased in the intervention group by a mean of 4.5 compared with 2.0 (p = 0.01*) in the control group.

conclusionA computer-based, 10-min CRM training improved the recognition of ineffective of chest compressions. Furthermore, communication quality increased. As guideline-adherent chest compressions have been linked to improved patient outcomes, our CRM training might represent a brief and affordable approach to increase chest compression quality and potentially improve patient outcomes.

Indexed as

AdultCardiopulmonary ResuscitationCrew Resource Management, HealthcareEducation, MedicalEmergency MedicineFemaleGermanyHeart ArrestHumansMaleProspective StudiesSimulation TrainingStudents, MedicalCardiopulmonary resuscitationCommunicationCrew resource managementEmergency medicineHealthcareHospital rapid response teamSimulation training

Identifiers

PMID28253848
PMCPMC5335734

What OpenQuestion holds

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Registered trials

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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.