Travelling for radiation cancer treatment: Patient satisfaction
Bibliographic record
Abstract
This study was conducted for the purpose of describing cancer patients' satisfaction with their care when they had to travel unexpectedly away from home for treatment. Ontario initiated a rereferral program for cancer patients who needed radiation therapy when the waiting lists in southern Ontario became lengthy. Patients travelled to the United States or northern Ontario for their care. A standardized survey containing 25 items with five-point Likert scale responses was mailed to all patients who participated in the rereferral program, following completion of their treatment. Items covered patient experiences before leaving home, in preparing for travel, and staying at the cancer facilities away from home. A total of 466 (55.8%) patients returned the survey. Overall, patients were satisfied with their care. However, there were a number of areas identified by patients where improvements could be made. These areas included access to support prior to leaving home, access to information about supportive care services while away from home, and sensitivity to personal needs in making arrangements for travel. Provision of information and support are important to cancer patients having to travel for cancer treatment.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".