Predictors of hospital stay and home care services use: A population-based, retrospective cohort study in stage IV gastric cancer
Bibliographic record
Abstract
BACKGROUND: Home care services use has been proposed as a means of reducing costs in palliative care by decreasing hospital stay without impacting quality of clinical care; however, little is known about utilization of these services in the time following a terminal cancer diagnosis. AIM: To examine disease, patient and healthcare system predictors of hospital stay, and home care services use in metastatic gastric cancer patients. DESIGN: This is a population-based, retrospective cohort study. Chart review and administrative data were linked, using a 26-month time horizon to collect health services data. PARTICIPANTS: All patients diagnosed with metastatic gastric cancer in the province of Ontario between 2005 and 2008 were included in the study (n = 1433). RESULTS: Age, comorbidity, tumor location, and burden of metastatic disease were identified as predictors of hospital stay and receipt of home care services. Individuals who received home care services spent fewer days in hospital than individuals who did not (relative risk: 0.44; 95% confidence interval: 0.38-0.51). Patients who interacted with a high-volume oncology specialist had shorter cumulative hospital stay (relative risk: 0.62; 95% confidence interval: 0.54-0.71) and were less likely to receive home care services (relative risk: 0.80; 95% confidence interval: 0.72-0.88) than those who did not. CONCLUSION: Examining how differences in hospital stay and home care services use impact clinical outcomes and how policies may reduce costs to the healthcare system is necessary.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".