Understanding transitional care programmes for older adults who experience delayed discharge: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Many hospitalised older adults experience delayed discharges due to increased postacute health and social support needs. Transitional care programmes (TCPs) provide short-term care to these patients to prepare them for transfer to nursing homes or back to the community with supports. There are knowledge gaps related to the development, implementation and evaluation of TCPs. The aims of this scoping review (ScR) are to identify the characteristics of older patients served by TCPs; criteria for transfer, components and services provided by TCPs; and outcomes used to evaluate TCPs. METHODS AND ANALYSIS: The study involves six-step ScR and is informed by a collaborative/participatory approach whereby stakeholders engage in the development of the research questions, identification of literature, data abstraction and synthesis; and participation in consultation workshop. The search for scientific literature will be done in the Medline, PsychINFO, Emcare and CINAHL databases; as well, policies and reports that examined models of transitional care and the outcomes used to evaluate them will be reviewed. Records will be selected if they involve community dwelling older adults aged 65 years or older, or indigenous persons 45 years or older; and presented in English, French, Dutch and German languages. Records will be screened, reviewed and abstracted by two independent reviewers. Extracted data will be analysed using descriptive statistics and a narrative analysis, and organised according to Donabedian's model of structure (characteristics of older adults experiencing delayed discharge and served by TCPs), process (TCP components and services) and outcome. ETHICS AND DISSEMINATION: This ScR does not require ethics approval. Dissemination activities include integrated knowledge translation (KT) (consultation with stakeholders throughout the study) and end-of-grant KT strategies (presentations at national and international conferences; and publication in peer-reviewed interdisciplinary journal).
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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 | 0.102 | 0.085 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.022 | 0.016 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.046 | 0.009 |
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".