Evidence map›Paper›PMID 40984807›Full record

ArticleThe Medical journal of Australia2025

Non-technical errors associated with deaths in surgical care, Australia, 2012-2019, by surgical specialty (Australian and New Zealand Audit of Surgical Mortality): a retrospective cohort study.

Jesse Ey, Victoria Kollias, Octavia Lee, Kelly Hou, Matheesha Herath, John B North, Ellie Treloar, Suzanne Edwards, Martin Bruening, Adam J Wells and 1 more

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing 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

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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 synthesis or guideline pooled it.

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4 · The record

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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.

Jesse EyThe Queen Elizabeth Hospital, Adelaide, SA.
Victoria KolliasThe University of Adelaide, Adelaide, SA.
Octavia LeeThe University of Adelaide, Adelaide, SA.
Kelly HouThe University of Adelaide, Adelaide, SA.
Matheesha HerathThe Queen Elizabeth Hospital, Adelaide, SA.
John B NorthPrincess Alexandra Hospital, Brisbane, QLD.
Ellie TreloarThe Queen Elizabeth Hospital, Adelaide, SA.
Suzanne EdwardsThe University of Adelaide, Adelaide, SA.
Martin BrueningThe Queen Elizabeth Hospital, Adelaide, SA.
Adam J WellsRoyal Adelaide Hospital, Adelaide, SA.
Guy J MaddernThe University of Adelaide, Adelaide, SA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the frequency of non-technical errors in cases of surgical care-related deaths in Australia, by surgical specialty. STUDY

designRetrospective cohort study; analysis of Australian and New Zealand Audit of Surgical Mortality (ANZASM) data. SETTING,

participantsAll surgical care-related deaths in Australia (except New South Wales), 1 January 2012 - 31 December 2019, that were flagged in ANZASM as associated with adverse events or areas of concern.

main outcome measuresProportions of surgical care-related deaths associated with non-technical errors, overall and by domain (communication/teamwork, decision making, situational awareness, leadership); paired comparisons of likelihood of errors by specialty; change in error proportions during 2012-2019; influence of patient and admission factors on likelihood of non-technical errors.

resultsOf 30 971 surgical care-related deaths reported to ANZASM during 2012-2019, 3695 were flagged with adverse events or areas of concern, including 3422 cases (92.6%) in five surgical specialties: general surgery (1570 deaths), cardiothoracic surgery (626), orthopaedic surgery (510), vascular surgery (385), and neurosurgery (331). The proportions of surgical care-related deaths associated with non-technical errors differed by specialty (range, 52.2% to 68.5%), as did those errors in the domains decision making (range, 52.6% to 66.3%) and situational awareness errors (range, 44.4% to 62.5%). The probability of any non-technical error was greater for cardiothoracic than orthopaedic surgery (adjusted odds ratio [aOR], 1.76; 95% confidence interval [CI], 1.37-2.28), and for general than orthopaedic surgery (aOR, 1.97, 95% CI, 1.59-2.44) or neurosurgery (aOR, 1.47; 95% CI, 1.14-1.90); the probability was lower for orthopaedic than vascular surgery (aOR, 0.54; 95% CI, 0.41-0.72). The proportion of deaths associated with non-technical errors declined over time for general surgery, but not the other four specialties. Differences by patient and admission characteristics in the proportions of cases including non-technical errors were not statistically significant.

conclusionAt least 50% of surgical care-related deaths in five surgical specialties were associated with non-technical errors, and the proportions did not substantially change during 2012-2019. Differences between specialties in the frequency of fatal non-technical error suggest that targeted improvement strategies are needed, but the persistently high frequency for all specialties indicates that systemwide improvement is crucial.

Indexed as

Medical ErrorsSpecialties, SurgicalSurgical Procedures, OperativeAdultAgedAustraliaFemaleHospital MortalityHumansMaleMedical AuditMiddle AgedNew ZealandRetrospective StudiesAdverse eventsCardiothoracic surgeryClinical decision‐makingEducationGeneral surgeryNeurosurgeryOrthopedic proceduresprofessionalVascular surgical procedures

Identifiers

PMID40984807
PMCPMC12683315

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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.