Informal ethics consultations in academic health care settings: A quantitative description and a qualitative analysis with a focus on patient participation
Bibliographic record
Abstract
Background Ethics consultations are established in contemporary health care. Informal ethics consultations often occur and are possibly beneficial, yet they have not been empirically studied. We sought to describe features of informal ethics consultations and to identify facilitators and disruptors of patient participation in such ethics consultations. Methods We used a mixed methods (quantitative and qualitative) evaluation design and conveniently sampled 64 sequential informal ethics consultations over a period of 3 years in two academic health care centers in one city in Canada. Data were collected by the two participating ethicists. We used statistical description for the quantitative data and thematic analysis for the qualitative data. Results Patients participated in only two (3%) of the informal ethics consultations. Factors that disrupted patient participation in ethics consultations were related to patients’ issues (mental impairments), family issues (family withholding information from the patient), and team members’ issues (efficiency considerations). Conclusion Informal ethics consultations may be used for ethics capacity building of health care providers rather than for engagement with addressed patients. Further research on informal ethics consultations is required, including in different sites.
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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 | 0.054 | 0.358 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.035 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".