Conflict Prevention, Conflict Mitigation, and Manifestations of Conflict During Emergency Department Consultations
Bibliographic record
Abstract
OBJECTIVES: The objective was to determine the causes of and mitigating factors for conflict between emergency physicians and other colleagues during consultations. METHODS: From March to September 2010, a total of 61 physicians (31 residents and 30 attendings from emergency medicine [EM], internal medicine, and general surgery) were interviewed about how junior learners should be taught about emergency department (ED) consultations. During these interviews, they were asked if and how conflict manifests during the ED consultation process. Two investigators reviewed the transcripts independently to generate themes related to conflict until saturation was reached. Disagreements were resolved by consensus. The trustworthiness of the analysis was ensured by generating an audit trail, which was subsequently audited by an investigator not involved with the initial analysis. This analysis was compared to previously proposed models of trust and conflict from the sociology and business literature. RESULTS: All participants recalled some manifestation of conflict. There were 12 negative conflict-producing themes and 10 protective conflict-mitigating themes. When comparing these themes to a previously developed model of the domains of trust, each theme mapped to domains of the model. CONCLUSIONS: Conflict affects the ED consultation process. Areas that lead to conflict are identified that map to previous models of trust and conflict. This work extends the current understanding about intradisciplinary conflict in the clinical realm. These new findings may improve the understanding of the nature of conflicts that occur and form the foundation for interventions that may decrease conflict during ED consultations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".