Inpatient Palliative Care Is Associated with the Receipt of Palliative Care in the Community after Hospital Discharge: A Retrospective Cohort Study
Bibliographic record
Abstract
Background: For hospitalized patients with palliative care needs, there is little evidence on whether postdischarge outcomes differ if inpatient palliative care was delivered by a palliative care specialist or nonspecialist/generalist. Objective: To evaluate relationships between inpatient palliative care involvement and physician-delivered palliative care in the community after hospital discharge among individuals with limited life expectancy. Design: Population-based retrospective cohort study using administrative health data. Settings/Subjects: Adults with a predicted median survival of six months or less admitted to acute care hospitals in Ontario, Canada, between April 1, 2013, and March 31, 2017, and discharged to the community. Measurements: Inpatient palliative care involvement was classified as high (e.g., palliative care unit), medium (e.g., palliative care specialist consult), low (e.g., generalist-delivered palliative care), or none. Community palliative care included outpatient and home and clinic visits three weeks postdischarge. Results: Among 3660 hospitalized adults, 82 (2.2%) received inpatient palliative care with high level of involvement, 462 (12.6%) with medium level of involvement, 525 (14.3%) with low level of involvement, and 2591 (70.8%) had no inpatient palliative care. Patients who received inpatient palliative care were more likely to receive community palliative care after discharge than those who received no inpatient palliative care. These associations were stronger among patients who received high/medium palliative care involvement than patients who received low palliative care involvement. Conclusions: Inpatient palliative care, including that delivered by generalists, is associated with an increased likelihood of community palliative care after discharge. Increased inpatient generalist palliative care may help support patients' palliative care needs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".