Determinants of place of Death for recipients of Home-Based Palliative Care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Health system restructuring combined with the preferences of many terminally ill care recipients and their caregivers has led to an increase in home-based palliative care, yet many care recipients die within institutional settings such as hospitals. This study sought to determine the place of death and its predictors among palliative care patients with cancer. METHODS: Study participants were recruited from the Temmy Latner Centre for Palliative Care, a regional palliative care program based in Toronto, Canada. A total of 137 patients and their family caregivers participated in the study; application of various exclusion criteria restricted analysis to a sub-sample of 110. Bivariate (chi-square) and multivariate (logistic regression) analyses were conducted. RESULTS: 66 percent of participants died at home. Chi-square analysis indicated that women were more likely to die at home than men; multivariate analysis indicated that women and those living with others were significantly more likely to die at home than men or those who lived alone. CONCLUSION: Place of death is influenced by the socio-demographic characteristics of patients, the characteristics of their caregivers, and health service factors. Palliative care programs need to tailor services to men and those living alone in order to reduce institutional deaths.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it