Subcutaneous administration of drugs and hydration in acute palliative care units: Physician attitudes and beliefs in the United States and Canada
Bibliographic record
Abstract
Abstract Objectives The objective of this study was to compare the attitudes and beliefs of PCU physicians leaders in the United States versus Canada regarding the subcutaneous method in the administration of medications and hydration in order to gain a better understanding as to why variations in practice exist. Methods This survey trial took place from November 2022 to May 2023. The MD Anderson Cancer Center institutional review board in Houston, Texas, approved this study. The participants were the physician leaders of the acute palliative care units (PCUs) in the United States and Canada. The survey comprised questions formulated by the study investigators regarding the perceived comfort, efficiency, and preference of using the subcutaneous versus the intravenous method. The consent form and survey links were emailed to the participants. Results Sixteen PCUs were identified in the United States and 15 PCUs in Canada. Nine US and 8 Canadian physicians completed the survey. Physicians in Canada were more likely to use the subcutaneous route for administering opioids, antiemetics, neuroleptics, and hydration. They preferred subcutaneous over intravenous or intramuscular routes (p= 0.017). Canadian physicians felt their nursing staff was more comfortable with subcutaneous administration (p= 0.022) and that it was easier to administer (p= 0.02). US physicians felt the intravenous route was more efficient (p= 0.013). Significance of results The study results suggest that exposure to the subcutaneous route influences a physician’s perception. Further research is needed to explore ways to incorporate its use to a greater degree in the US healthcare system.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".