Moving from place to place in the last year of life: a qualitative study identifying care setting transition issues and solutions in Ontario
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
Moving from one care setting to another is common as death nears. Many concerns exist over these end-of-life (EOL) care setting transitions, including low-quality moves as mistakes and other mishaps can occur. Delayed or denied moves are also problematic, such as a move out of hospital for dying inpatients who want to spend their last hours or days at home. The aim of the study was to identify current issues or problems with care setting transitions during the last year of life as well as potential or actual solutions for these problems. A grounded theory analysis approach was used based on interviews with 38 key informants who represent a wide range of healthcare providers, healthcare managers, government representatives, lawyers, healthcare recipients and their family/friends across Ontario in 2016. Three interrelated themes were revealed: (a) communication complexities, (b) care planning and coordination gaps and (c) health system reform needs. Six solutions were highlighted, with these designed to prevent care setting transition issues and monitor care setting transitions for continued improvements.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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