Enhancing end of life care on general internal medical wards: the 3 Wishes Project
Bibliographic record
Abstract
Abstract Background Initially developed in the intensive care unit (ICU) at St. Joseph’s Healthcare Hamilton (SJHH) the 3 Wishes Project (3WP) provides personalized, compassionate care to dying patients and their families. The objective of this study was to develop and evaluate 3WP expansion strategies for patients cared for on General Internal Medicine (GIM) wards in our hospital. Methods From January 2020-November 2021, we developed a phased, multicomponent approach for program expansion. We enrolled patients on the GIM wards who had a high probability of dying in hospital, then elicited, implemented, and documented wishes for them or their families. Data were analyzed descriptively. Results From March 2020 to November 2020, we implemented staff education and engagement activities, created an Expansion Coordinator position, held strategic consultations, and offered enabling resources. From March 2020 to November 2021, we enrolled 62 patients and elicited 281 wishes (median [1 st , 3 rd quartiles] 4 [4, 5] wishes/patient). The most common wish categories were personalizing the environment (67 wishes, 24%), rituals and spiritual support (42 wishes, 15%), and facilitating connections (39 wishes, 14%). The median [1 st , 3 rd ] cost/patient was $0 [0, $10.00] (range $0 to $86); 91% of wishes incurred no cost to the program. Conclusions The formal expansion of the 3WP on GIM wards has been successful despite COVID-19 pandemic disruptions. While there is still work ahead, these data suggest that implementing the 3WP on the GIM wards is feasible and affordable. Increased engagement of the clinical team during the pandemic suggests that it is positively received.
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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 | 0.003 |
| 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) | 0.000 | 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; 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".