Tertiary Inpatient Palliative Care within Region-Wide Services: A Retrospective Examination of Psychosocial and Medical Demographics at Admissions
Bibliographic record
Abstract
Palliative care offers symptom relief and improved quality of life. Tertiary palliative care units (TPCUs) focus on complex suffering under the care of specialist palliative physicians and interdisciplinary teams. The Intensive Palliative Care Unit (IPCU) is a TPCU integrated in well-developed region-wide palliative services in Calgary, Canada. We compared the population accessing the IPCU to published data from other Canadian sites. METHODS: A retrospective chart review was conducted using 8 sample months over a 2-year period. We gleaned psychosocial and medical demographics alongside the self-reported symptom burden on the Edmonton Symptom Assessment System. Descriptive statistics were calculated. RESULTS: = 117) with cancer admitted to the IPCU were 5-10 years younger, had later-stage cancer, and had higher discharges to preferred locations than other published Canadian TPCUs. Up to two months before admission, most commonly reported symptoms were consistent with the outpatient literature although with higher reported intensity. DISCUSSION: With more advanced disease, younger age, and elevated symptom burden before admission, the IPCU still discharged patients to preferred locations at higher rates than other sites. This may be due to integration in the region's organized palliative care services. CONCLUSION: With proper integration, a TPCU may be able to improve quality of life and reduce deaths in hospitals.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".