Are emergency admissions in palliative cancer care always necessary? Results from a descriptive study
Bibliographic record
Abstract
OBJECTIVES: Patients with advanced cancer are often admitted to hospital as emergency cases. This may not always be medically indicated. Study objectives were to register the reasons for the emergency admissions, to examine interventions performed during hospitalisation and self-reported symptom intensity at admission and discharge, and to assess patients' opinions about the admission. DESIGN: This was a descriptive before-and-after study. Participating patients completed the Edmonton Symptom Assessment System (ESAS) twice, upon hospital admission and prior to discharge. All patients underwent a structured interview assessing their opinion about the emergency admission. Medical data were obtained from the hospital records. SETTING: The study was performed in two Norwegian acute care secondary hospitals with urban catchment areas. PARTICIPANTS: 44 patients with cancer (men 27 and women 17; mean age 69.2, SD 9.2) representing 50 emergency admissions were included. RESULTS: Median length of stay was 7 days (95% CI 7.4 to 11.4). Median survival was 50 days (95% CI 51 to 115). 90% were admitted from home, and 46% had been hospitalised less than 1 month earlier. Lung and gastrointestinal symptoms and pain were the most frequent reasons for admissions. Mean pain scores on ESAS were reduced by 50% from admission to discharge (p<0.01). Simple interventions such as hydration, bladder catheterisation and oxygen therapy were most frequent. Nearly one-third would have preferred treatment at another site, provided that the quality of care was similar. Home visits by the family doctor and specialised care teams were perceived by patients as important to prevent hospitalisation. CONCLUSIONS: In most emergency admissions, relatively simple medical interventions are necessary. Specialised care teams with palliative care physicians, easier access to the family doctor and better lines of cooperation between hospitals and the primary care sector may make it possible to perform more of these procedures at home, thereby reducing the need for emergency admissions.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".