Evidence map›Paper›PMID 28209605›Full record

ArticleBMJ open2017

Do failures in non-technical skills contribute to fatal medical accidents in Japan? A review of the 2010-2013 national accident reports.

Masashi Uramatsu, Yoshikazu Fujisawa, Shinya Mizuno, Takahiro Souma, Akinori Komatsubara, Tamotsu Miki

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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.

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

29 citing papers in PubMed.

  1. Trial
  2. Leadership Education for Doctors-A Scoping Review.Acta anaesthesiologica Scandinavica · 2026
    Review
  3. Crisis Resource Management and Non-Technical Skills Training in Anesthesia: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  4. Article
  5. Prevention and Management of Percutaneous Coronary Intervention-Related Complications: Assessing the Impact of Simulation-Based Learning and Human Factors Training.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026
    Article
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  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
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  18. Review
  19. Review
  20. Future perspectives of higher standards for trauma teams' organization, support, and evaluation.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Review
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.

Masashi UramatsuDepartment of Quality and Patient Safety, Tokyo Medical University, Tokyo, Japan.
Yoshikazu FujisawaDepartment of Quality and Patient Safety, Tokyo Medical University, Tokyo, Japan.
Shinya MizunoFaculty of Comprehensive Informatics, Department of Computer Science, Shizuoka Institute of Science and Technology, Shizuoka, Japan.
Takahiro SoumaDivision of Medical Safety Management, Chiba University Hospital, Chiba, Japan.
Akinori KomatsubaraDepartment of Industrial and Management Systems Engineering, School of Creative Science and Engineering, Waseda University, Tokyo, Japan.
Tamotsu MikiDepartment of Quality and Patient Safety, Tokyo Medical University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe sought to clarify how large a proportion of fatal medical accidents can be considered to be caused by poor non-technical skills, and to support development of a policy to reduce number of such accidents by making recommendations about possible training requirements.

designSummaries of reports of fatal medical accidents, published by the Japan Medical Safety Research Organization, were reviewed individually. Three experienced clinicians and one patient safety expert conducted the reviews to determine the cause of death. Views of the patient safety expert were given additional weight in the overall determination.

settingA total of 73 summary reports of fatal medical accidents were reviewed. These reports had been submitted by healthcare organisations across Japan to the Japan Medical Safety Research Organization between April 2010 and March 2013. PRIMARY AND SECONDARY OUTCOME MEASURES: The cause of death in fatal medical accidents, categorised into technical skills, non-technical skills and inevitable progress of disease were evaluated. Non-technical skills were further subdivided into situation awareness, decision making, communication, team working, leadership, managing stress and coping with fatigue.

resultsOverall, the cause of death was identified as non-technical skills in 34 cases (46.6%), disease progression in 33 cases (45.2%) and technical skills in two cases (5.5%). In two cases, no consensual determination could be achieved. Further categorisation of cases of non-technical skills were identified as 14 cases (41.2%) of problems with situation awareness, eight (23.5%) with team working and three (8.8%) with decision making. These three subcategories, or combinations of them, were identified as the cause of death in 33 cases (97.1%).

conclusionsPoor non-technical skills were considered to be a significant cause of adverse events in nearly half of the fatal medical accidents examined. Improving non-technical skills may be effective for reducing accidents, and training in particular subcategories of non-technical skills may be especially relevant.

Indexed as

Cause of DeathMedical ErrorsAccidentsAdultAgedAwarenessCommunicationDecision MakingDisease ProgressionFatigueFemaleGroup ProcessesHumansJapanMaleMiddle Agedadverse medical incidentsfatal medical accidentsincidentincident reportsnon-technical skills

Identifiers

PMID28209605
PMCPMC5318576

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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.