Frailty-Informed Decision Making During Acute Health Crises: A Competency-Based Framework for Person-Centered Care
Bibliographic record
Abstract
Frailty profoundly influences the risks, benefits, and outcomes of medical care, yet clinical decision making during an acute health crisis is often driven by single-system treatment paradigms rather than a holistic understanding of patient values, prognosis, and personhood. This review outlines a practical, competency-based framework to guide clinicians through key clinical tasks that reliably align treatment decisions with what matters most to individuals living with frailty. The approach distinguishes between interventions that remain medically reasonable versus those that are unlikely to provide benefit and acknowledges that appropriate treatments evolve as frailty progresses. Anchoring the framework is an emphasis on dignity and the preservation of personhood through every stage of care. Much like a clinical procedure, these clinical tasks require defined intent, structured steps, and practice to ensure competence. When performed skillfully, these tasks may reduce low-value interventions, support autonomy, and promote compassionate, goal-concordant care during the most challenging moments of aging.
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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 | 0.034 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.005 | 0.026 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".