60. Using a pocket card to improve end-of-life care on clinical teaching units: A controlled trials
Bibliographic record
Abstract
Although palliative and end-of-life is a critical part of in-hospital medical care, residents often have very little formal education in this field. To determine the efficacy of a symptom management pocket card in improving the comfort level and knowledge of residents in delivering end-of-life care on medical clinical teaching units, we performed a controlled trial involving residents on three clinical teaching units. Residents at each site were given a 5-minute questionnaire at the start and at the end of their medicine ward rotation. Measures of self-reported comfort levels were assessed, as were 5 multiple-choice questions reflecting key knowledge areas in end-of-life care. Residents at all three sites were given didactic teaching sessions covering key concepts in palliative and end-of-life care over the course of their medicine ward rotation. Residents at the intervention site were also given a pocket card with information regarding symptom management in end-of-life care. Over 10 months, 137 residents participated on the three clinical teaching units. Comfort levels improved in both control (p < 0.01) and intervention groups (p < 0.01), but the intervention group was significantly more comfortable than the control group at the end of their rotations (z=2.77, p < 0.01). Knowledge was not significantly improved in the control group (p=0.07), but was significantly improved in the intervention group (p < 0.01). The knowledge difference between the two groups approached but did not reach statistical significance at the end of their rotation. In conclusion, our pocket card is a feasible, economical educational intervention that improves resident comfort level and knowledge in delivering end-of-life care on clinical teaching units. Oneschuk D, Moloughney B, Jones-McLean E, Challis A. The Status of Undergraduate Palliative Medicine Education in Canada: a 2001 Survey. Journal Palliative Care 2004; 20:32. Tiernan E, Kearney M, Lynch AM, Holland N, Pyne P. Effectiveness of a teaching programme in pain and symptom management for junior house officers. Support Care Cancer 2001; 9:606-610. Okon TR, Evans JM, Gomez CF, Blackhall LJ. Palliative Educational Outcome with Implementation of PEACE Tool Integrated Clinical Pathway. Journal of Palliative Medicine 2004; 7:279-295.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".