Description of Continuous Palliative Sedation Practices in a Large Health Region and Comparison with Clinical Practice Guidelines
Bibliographic record
Abstract
Background: Published reports of continuous palliative sedation therapy (CPST) suggest heterogeneity in practice. There is a paucity of reports that compare practice with clinical guidelines. Objectives: To assess adherence of continuous palliative sedation practices with criteria set forth in local clinical guidelines, and to describe other features including prevalence, medication dosing, duration, multidisciplinary team involvement, and concurrent therapies. Design: Retrospective chart review. Settings/Subjects: We included cases in which a midazolam infusion was ordered at the end of life. Study sites included four adult hospitals in the Calgary health region, two hospices, and a tertiary palliative care unit. Measurements: Descriptive data, including proportion of deaths involving palliative sedation therapy, number of criteria documented, midazolam dose/duration, concurrent symptom management therapies, and referrals to spiritual care, psychology, or social work. Results: CPST occurred in 602 out of 14,360 deaths (4.2%). Full adherence to criteria occurred in 7% of cases. The most commonly missed criteria were: a "C2" goals-of-care designation order (comfort care focus in the imminently dying) (84%) and documentation of imminent death in the chart (55%). Concurrent medical therapies included opioids in 98% of cases and intravenous hydration in 85% of cases. Few referrals were made to multidisciplinary care teams. Conclusions: We found low adherence to palliative sedation guidelines. This may reflect the perception that some criteria are redundant or clinically unimportant. Future work could include a study of barriers to guideline uptake, and guideline modification to provide direction on concurrent therapies and multidisciplinary team involvement.
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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 | 0.007 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".