Novel patient-centred outcome in cancer care, days at home: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Patient-centred care is valued by patients and providers. As management of cancer becomes increasingly complex, the value of providing care that incorporates an individual's values and preferences along with demographic and tumour factors is increasingly important. To improve care, patients with cancer need easily accessible information on the outcomes important to them. The patient-centred outcome, days at home (DAH), is based on a construct that measures the time a patient spends alive and out of hospitals and healthcare institutions. DAH is accurately measured from various data sources and has shown construct validity with many patient-centred outcomes. There is significant heterogeneity in terms used and definitions for DAH in cancer care. This scoping review aims to consolidate information on the outcome DAH in cancer care and to review definitions and terms used to date to guide future use of DAH as a patient-centred care, research and policy tool. METHODS AND ANALYSIS: and the expanded framework from Arksey and O'Malley. We will systematically search MEDLINE, Embase and Scopus for studies measuring DAH, or equivalent, in the context of active adult cancer care. Broad inclusion criteria have been developed, given the recent introduction of DAH into cancer literature. Editorials, opinion pieces, case reports, abstracts, dissertations, protocols, reviews, narrative studies and grey literature will be excluded. Two authors will independently perform full-text selection. Data will be extracted, charted and summarised both qualitatively and quantitively. ETHICS AND DISSEMINATION: No ethics approval is required for this scoping review. Results will be disseminated through scientific publication and presentation at relevant conferences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.108 | 0.098 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.013 | 0.015 |
| Bibliometrics | 0.028 | 0.022 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.010 | 0.005 |
| Insufficient payload (model declined to judge) | 0.063 | 0.013 |
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 source (direct Gemma or distilled Codex), 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".