Failure to Engage Hospitalized Elderly Patients and Their Families in Advance Care Planning
Bibliographic record
Abstract
IMPORTANCE: Advance care planning can improve patient-centered care and potentially reduce intensification of care at the end of life. OBJECTIVES: To inquire about patients' advance care planning activities before hospitalization and preferences for care from the perspectives of patients and family members, as well as to measure real-time concordance between expressed preferences for care and documentation of those preferences in the medical record. DESIGN: Prospective study. SETTING: Twelve acute care hospitals in Canada. PARTICIPANTS: Elderly patients who were at high risk of dying in the next 6 months and their family members. MAIN OUTCOME MEASURES: Responses to an in-person administered questionnaire and concordance of expressed preferences and orders of care documented in the medical record. RESULTS: Of 513 patients and 366 family members approached, 278 patients (54.2%) and 225 family members (61.5%) consented to participate. The mean ages of patients and family members were 80.0 and 60.8 years, respectively. Before hospitalization, most patients (76.3%) had thought about end-of-life (EOL) care, and only 11.9% preferred life-prolonging care; 47.9% of patients had completed an advance care plan, and 73.3% had formally named a surrogate decision maker for health care. Of patients who had discussed their wishes, only 30.3% had done so with the family physician and 55.3% with any member of the health care team. Agreement between patients' expressed preferences for EOL care and documentation in the medical record was 30.2%. Family members' perspectives were similar to those of patients. CONCLUSIONS AND RELEVANCE: Many elderly patients at high risk of dying and their family members have expressed preferences for medical treatments at the EOL. However, communication with health care professionals and documentation of these preferences remains inadequate. Efforts to reduce this significant medical error of omission are warranted.
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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 | 0.018 | 0.109 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".