A Typology of ICU Patients and Families from the Clinician Perspective: Toward Improving Communication
Bibliographic record
Abstract
This paper presents an exploratory case study of clinician-patient communications in a specific clinical environment. It describes how intensive care unit (ICU) clinicians' technical and social categorizations of patients and families shape the flow of communication in these acute care settings. Drawing on evidence from a year-long ethnographic study of four ICUs, we develop a typology of patients and families as viewed by the clinicians who care for them. Each type, or category, of patient is associated with differing communication strategies, with compliant patients and families engaged in greater depth. In an era that prioritizes patient engagement through communication for all patients, our findings suggest that ICU teams need to develop new strategies for engaging and communicating with not just compliant patients and families, but those who are difficult as well. We discuss innovative methods for developing such strategies.
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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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.003 |
| 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 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".