Where the Dying Live: A Systematic Review of Determinants of Place of End-of-Life Cancer 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
PURPOSE/OBJECTIVES: To describe the determinants of place of end-of-life (EOL) care for patients with cancer. DATA SOURCES: A systematic literature review of primary research studies (1997-2007) was conducted. Studies that investigated place of EOL care or identified place of EOL care in relation to outcomes were examined, their critical quality was appraised, and references were mapped. DATA SYNTHESIS: Of the 735 articles identified, 39 (representing 33 studies) met inclusion criteria. Two main research designs emerged: large-scale epidemiologic reports and smaller descriptive studies. Findings suggest that factors related to the disease, the individual, and the care and social environment influence place of EOL care for patients with cancer. Social support, healthcare inputs (from services and programs and healthcare provider contact), and patient preferences were the most important factors. CONCLUSIONS: Most patients with terminal cancer prefer home palliation; however, most die in an institution. The reasons are complex, with various determinants influencing decisions regarding place of EOL care. IMPLICATIONS FOR NURSING: Findings may highlight evidence-based interventions to assist patients and families facing decisions regarding place of EOL care. A clearer understanding of factors that influence place of EOL care for patients with cancer could enhance healthcare policy and guide needs-based modifications of the healthcare system.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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