Exploring the nature of interprofessional collaboration and family member involvement in an intensive care context
Bibliographic record
Abstract
Little is known about the nature of interprofessional collaboration on intensive care units (ICUs), despite its recognition as a key component of patient safety and quality improvement initiatives. This comparative ethnographic study addresses this gap in knowledge and explores the different factors that influence collaborative work in the ICU. It aims to develop an empirically grounded team diagnostic tool, and associated interventions to strengthen team-based care and patient family involvement. This iterative study is comprised of three phases: a scoping review, a multi-site ethnographic study in eight ICUs over 2 years; and the development of a diagnostic tool and associated interprofessional intervention-development. This study's multi-site design and the richness and breadth of its data maximize its potential to improve clinical outcomes through an enhanced understanding of interprofessional dynamics and how patient family members in ICU settings are best included in care processes. Our research dissemination strategy, as well as the diagnostic tool and associated educational interventions developed from this study will help transfer the study's findings to other settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".