Analysis of the suitability of 'video-visits' for palliative home care: implications for practice
Bibliographic record
Abstract
We conducted a retrospective chart review to estimate the extent to which palliative home care visits could be carried out using videophones and to explore factors that might inform the eligibility criteria for video-visits. Four hundred palliative home care health records of deceased clients from 2002 were randomly selected from the Health Records Office in one Canadian health region. One visit was randomly selected from each of these health records. Three hundred and fifty-four visits were coded, and based on professional nursing judgment, the coder estimated whether video-visits could have been carried out. Approximately 43% of the visits were considered appropriate for video-visits. The results suggest that four factors may inform eligibility and decisions about a client's suitability for video-visits: diagnosis (cancer versus non-cancer), low Edmonton Symptom Assessment System (ESAS) score, no care-giver present, number and types of interventions required. Patients with a cancer diagnosis were more likely to be suitable for video-visits, which suggests that disease trajectory, rather than diagnosis of 'palliative', may be more influential in determining the care required and appropriateness of videophone use.
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.
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 | 0.001 | 0.004 |
| 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".