BOS1c.004 Re-thinking advance care planning with a life journey and asset-based approach
Bibliographic record
Abstract
Background While advance care planning (ACP) policy implementation in the healthcare sector has had a moderate impact, we postulate greater uptake if a life journey and asset-based approach is taken to embed ACP into the social fabric. Within an individual’s life journey, milestone events and routine touchpoints (e.g., driver’s license, first home, retirement) serve as opportunities for ACP messaging. Coupling ACP with other planning activities may increase the likelihood of completing ACP. By using an asset-based approach we frame health, finances, and estates as important individual assets to plan for and protect. Methods Members of the public; professionals from the healthcare, legal, financial, and social services sectors; policymakers; researchers; and representatives of community organizations collaborated through a working group and advisory committee. A structured analysis on the assets an individual possesses, opportunities for planning that occur within the life journey, and essential Alberta-specific documentation and processes for life planning were considered. The feedback gathered from these meetings contributed to the development of infographics that illustrate these concepts. Results Two infographics were developed. The Life Journey Map graphic captures important moments in one’s life that provide opportunities to consider planning for the future. The Life Planning graphic showcases the important three assets an individual possesses: health, finances and estates and highlights the essential documents needed to plan for and protect these assets. Conclusion To improve uptake of ACP with the public, an innovative approach is needed to re-think how ACP is messaged. By utilizing a life journey and asset-based approach, we can message the importance of ACP earlier in life and to a wider audience beyond a healthcare setting. The next steps are incorporating these concepts into our website called CompassionateAlberta.ca and evaluating impact.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.209 | 0.063 |
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".