Death is not always a failure: outcomes from implementing an online virtual patient clinical case in palliative care for family medicine clerkship
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The dying patient is a reality of medicine. Medical students, however, feel unprepared to effectively manage the complex end-of-life (EOL) management issues of the dying patient and want increased experiential learning in Palliative Care. AIMS: To address the need for more formal curriculum in EOL care, we developed and implemented an online virtual patient (VP) clinical case in Palliative Care into the 2010-2011 Year Three Family Medicine Clerkship rotation curriculum. METHODS: A mixed-method design was used to measure the change in knowledge and perceived preparedness level in EOL care before and after completing the online VP case. A survey collected qualitative descriptions of the students' educational experience of using this case. RESULTS: Ninety five percent (130/137) of the students voluntarily consented to have their results analyzed. The group knowledge score (n=127) increased significantly from a pre-course average of 7.69/16±2.27, to a post-course average of 10.02/16±2.39 (p<0.001). The students' self-assessed comfort level increased significantly with all aspects of EOL management from pre-course to post-course (p<0.001). Nearly, 91.1% of the students rated the VP realism as 'Good to Excellent', 86% rated the case as educationally beneficial. Nearly 59.3% of students felt emotionally engaged with the VP. Qualitative feedback found that the case content was very useful and realistic, but that the interface was sometimes awkward to navigate. CONCLUSIONS: The online VP case in Palliative Care is a useful teaching tool that may help to address the need for increased formal Palliative Care experience in medical school training programs.
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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 | 0.001 | 0.007 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it