Evidence map›Paper›PMID 41459916›Full record

SynthesisThe British journal of surgery2025

Impact of surgical non-technical skills on clinical outcomes: systematic review.

Joel Norton, Allison M Janda, Emma Howie, Nicole Pohl, Egide Abahuje, Steven D Harrington, Vitaliy Popov, Tyler M Bauer, Paulo Borges, Gabriela Querejeta Roca and 11 more

Abstract readSystematic Review
In one paragraph

Synthesis in The British journal of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

21 authors.

Joel NortonSurgical Sabermetrics Laboratory, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Allison M JandaDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Emma HowieSurgical Sabermetrics Laboratory, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Nicole PohlDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Egide AbahujeDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Steven D HarringtonCardiovascular Services, Henry Ford Macomb Hospital, Clinton Township, Michigan, USA.
Vitaliy PopovDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Tyler M BauerDepartment of Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Paulo BorgesMedical AI and Cognitive Engineering (MAICE) Lab, STRATUS Centre for Medical Simulation, Mass General Brigham, Boston, Massachusetts, USA.ORCID 0000-0001-5942-1166
Gabriela Querejeta RocaDepartment of Anesthesia, Critical Care and Pain Medicine, Mass General Brigham, Boston, Massachusetts, USA.
Michael R MathisDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Raymond J StrobelDepartment of Cardiothoracic Surgery, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Austin AirhartDepartment of General Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Nicole PhamGeorgetown University School of Medicine, Washington, DC, USA.
Ryan HarariHarvard Data Science Initiative, Harvard University, Cambridge, Massachusetts, USA.
Jake A AwtryCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Francis D PaganiDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Roger D DiasMedical AI and Cognitive Engineering (MAICE) Lab, STRATUS Centre for Medical Simulation, Mass General Brigham, Boston, Massachusetts, USA.
Donald S LikoskyDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Steven YuleSurgical Sabermetrics Laboratory, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-9889-9090
Video Assessment of CaRdiac Surgery QualITY (VARSITY) Surgery Group

Funding

Novel Assessments of Technical and Non-Technical Cardiac Surgery QualityR01HL146619 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIKOSKY, DONALD S, PAGANI, FRANCIS D · 2020 to 2024
$3.4M
Surgeons as High-Performance Athletes: Applying Player Development Strategies from Professional Sport to Enhance Surgical PerformanceR01HL175879 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joseph A Dearani, DONALD S LIKOSKY · 2024 to 2026
$2.0M
University of Michigan Anesthesiology Post-Doctoral Research Training ProgramT32GM103730 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Chad M Brummett, SACHIN KHETERPAL · 2014 to 2026
$1.9M
PHEnylephrine versus NOrepinephrine in Major NONcardiac surgery (PHENOMeNON): Foundational Studies for a Pragmatic Randomized Clinical Trial.K23HL166685 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Allison Mary Janda · 2023 to 2026
$689k
Circulation FoundationNHLBI NIH HHS K23 HL166685NHLBI NIH HHS R01 HL146619NHLBI NIH HHS R01 HL175879NIGMS NIH HHS T32 GM103730NIH HHS R01HL146619Royal College of Surgeons of EdinburghVascular Society of Great Britain and Ireland K23HL166685
6 · The paper itself

Abstract

backgroundDeficiencies in non-technical skills (NTS) such as leadership and communication can lead to intraoperative inefficiency and error. However, the relationship between these skills and patient-level outcomes has yet to be synthesized. The aim of this study was to systematically review the evidence examining the relationship between intraoperative NTS and clinical outcomes.

methodsThe PubMed, Embase, CENTRAL, CINAHL, and PsycINFO databases were searched for relevant studies published between inception and 1 November 2024. Eligible studies assessed NTS of operating room personnel, were conducted in non-simulated environments, and reported clinical outcomes. NTS were categorized into five core domains including leadership and communication. Patient-level outcomes comprised eight clinical measures including mortality and postoperative complications.

resultsOf 6313 screened studies, 21 met the inclusion criteria. Included studies represented 8536 participants performing 251 180 procedures across 13 specialties. Eleven observational studies assessed NTS of surgical personnel via study participants or observers. Ten interventional studies introduced NTS team training initiatives. Twelve of 21 studies (57%) incorporating 247 036 of all procedures (98.4%) reported significant improvements in clinical outcomes. Nine of 11 observational studies (82%) reported significant improvement in clinical outcomes compared with 3 of 10 interventional studies (30%). No studies demonstrated a significant deterioration in clinical outcomes associated with improved NTS.

conclusionPublished evidence shows a significant link between intraoperative NTS and patient-level outcomes. These findings reinforce the value of behavioural assessment in surgery, support evidence-based team training, and underscore the need to embed NTS into regulatory frameworks to improve surgical quality and safety worldwide.

Indexed as

Clinical CompetenceSurgeonsSurgical Procedures, OperativeCommunicationHumansLeadershipOperating RoomsPostoperative Complications

Identifiers

PMID41459916
PMCPMC12746291

What OpenQuestion holds

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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.