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Record W2558551647 · doi:10.1007/s12630-016-0784-x

Disruptive behaviour in the perioperative setting: a contemporary review

2016· review· en· W2558551647 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Journal of Anesthesia/Journal canadien d anesthésie · 2016
Typereview
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsScopusTeamworkInterpersonal communicationIncivilityMEDLINEPsychologyMedicineMedical educationSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: Disruptive behaviour, which we define as behaviour that does not show others an adequate level of respect and causes victims or witnesses to feel threatened, is a concern in the operating room. This review summarizes the current literature on disruptive behaviour as it applies to the perioperative domain. SOURCE: , Scopus™, and Google books identified articles and monographs of interest, with backreferencing used as a supplemental strategy. PRINCIPAL FINDINGS: Much of the data comes from studies outside the operating room and has significant methodological limitations. Disruptive behaviour has intrapersonal, interpersonal, and organizational causes. While fewer than 10% of clinicians display disruptive behaviour, up to 98% of clinicians report witnessing disruptive behaviour in the last year, 70% report being treated with incivility, and 36% report being bullied. This type of conduct can have many negative ramifications for clinicians, students, and institutions. Although the evidence regarding patient outcomes is primarily based on clinician perceptions, anecdotes, and expert opinion, this evidence supports the contention of an increase in morbidity and mortality. The plausible mechanism for this increase is social undermining of teamwork, communication, clinical decision-making, and technical performance. The behavioural responses of those who are exposed to such conduct can positively or adversely moderate the consequences of disruptive behaviour. All operating room professions are involved, with the rank order (from high to low) being surgeons, nurses, anesthesiologists, and "others". The optimal approaches to the prevention and management of disruptive behaviour are uncertain, but they include preventative and professional development courses, training in soft skills and teamwork, institutional efforts to optimize the workplace, clinician contracts outlining the clinician's (and institution's) responsibilities, institutional policies that are monitored and enforced, regular performance feedback, and clinician coaching/remediation as required. CONCLUSIONS: Disruptive behaviour remains a part of operating room culture, with many associated deleterious effects. There is a widely accepted view that disruptive behaviour can lead to increased patient morbidity and mortality. This is mechanistically plausible, but more rigorous studies are required to confirm the effects and estimate their magnitude. An important measure that individual clinicians can take is to monitor and control their own behaviour, including their responses to disruptive behaviour.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.323
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it