Toward better care of delirious patients at the end of life: A pilot study of an interprofessional educational intervention
Bibliographic record
Abstract
Symptom distress with end-of-life delirium (EOLD) is complex and multidimensional, and interprofessional (IP) teams require knowledge and skill to effectively care for these patients and their families. The purpose of this pilot study was to test an educational intervention about EOLD for IP teams at a long-term care facility and a hospice. The intervention included a comprehensive self-learning module (SLM) on EOLD and IP teamwork; a modified McMaster-Ottawa team objective structured clinical encounter (TOSCE) and a didactic "theory burst" on the principles of delirium assessment, diagnosis and management. Evaluation tools completed by participants included the interprofessional collaborative competencies attainment survey (ICCAS) and the W(e) Learn. Two groups at each site participated in 1-hour sessions, repeated 2 weeks later. Only one group from each site received the SLM after the first session. Researchers scored EOLD knowledge and IP team functioning in both sessions. Results suggest that the intervention improved EOLD knowledge and perceptions of IP competence and supports the value of the TOSCE as an IP teaching method. The module does not appear responsible for the changes. Future studies are required to evaluate the effectiveness of the individual components used in this study, and to tailor the intervention to individual care contexts.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".