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Record W3183046964 · doi:10.1136/bmjopen-2020-043256

Systematic review of academic bullying in medical settings: dynamics and consequences

2021· review· en· W3183046964 on OpenAlex
Tauben Averbuch, Yousif Eliya, Harriette G.C. Van Spall

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ Open · 2021
Typereview
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsImpactPopulation Health Research InstituteMcMaster University
FundersCanadian Institutes of Health ResearchMcMaster UniversityHeart and Stroke Foundation of Canada
KeywordsMedicineMedical educationPublic healthFamily medicinePathology

Abstract

fetched live from OpenAlex

PURPOSE: To characterise the dynamics and consequences of bullying in academic medical settings, report factors that promote academic bullying and describe potential interventions. DESIGN: Systematic review. DATA SOURCES: We searched EMBASE and PsycINFO for articles published between 1 January 1999 and 7 February 2021. STUDY SELECTION: We included studies conducted in academic medical settings in which victims were consultants or trainees. Studies had to describe bullying behaviours; the perpetrators or victims; barriers or facilitators; impact or interventions. Data were assessed independently by two reviewers. RESULTS: We included 68 studies representing 82 349 respondents. Studies described academic bullying as the abuse of authority that impeded the education or career of the victim through punishing behaviours that included overwork, destabilisation and isolation in academic settings. Among 35 779 individuals who responded about bullying patterns in 28 studies, the most commonly described (38.2% respondents) was overwork. Among 24 894 individuals in 33 studies who reported the impact, the most common was psychological distress (39.1% respondents). Consultants were the most common bullies identified (53.6% of 15 868 respondents in 31 studies). Among demographic groups, men were identified as the most common perpetrators (67.2% of 4722 respondents in 5 studies) and women the most common victims (56.2% of 15 246 respondents in 27 studies). Only a minority of victims (28.9% of 9410 victims in 25 studies) reported the bullying, and most (57.5%) did not perceive a positive outcome. Facilitators of bullying included lack of enforcement of institutional policies (reported in 13 studies), hierarchical power structures (7 studies) and normalisation of bullying (10 studies). Studies testing the effectiveness of anti-bullying interventions had a high risk of bias. CONCLUSIONS: Academic bullying commonly involved overwork, had a negative impact on well-being and was not typically reported. Perpetrators were most commonly consultants and men across career stages, and victims were commonly women. Methodologically robust trials of anti-bullying interventions are needed. LIMITATIONS: Most studies (40 of 68) had at least a moderate risk of bias. All interventions were tested in uncontrolled before-after studies.

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)0.015
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.054
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.105
GPT teacher head0.495
Teacher spread0.390 · 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