Virtual team-based care planning with older persons in formal care settings: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: COVID-19 has necessitated greater adoption of virtual care (eg, telephone (audio), videoconference) delivery models. Virtual care provides opportunities for innovative practice in care planning with older persons and meaningful family engagement by synchronously involving multiple care providers. Nevertheless, there remains a paucity of summarising evidence regarding virtual team-based care planning for older persons. The purpose of this scoping review is to summarise evidence on the utilisation of virtual team-based care planning for older persons in formal care settings. Specifically, (1) what has been reported in the literature on the impact or outcomes of virtual team-based care planning? (2) What are the facilitators and barriers to implementation? METHODS AND ANALYSIS: This scoping review will follow a rigorous and well-established methodology by the Joanna Briggs Institute, supplemented by the Arksey & O'Malley and Levac, Colquhoun, & O'Brien frameworks. A three-step search strategy will be used to conduct a search on virtual team-based care planning for older persons in formal care settings. Keywords and index terms will be identified from an initial search in PubMed and AgeLine, and used to conduct the full search in the databases PubMed, EMBASE, CINAHL, AgeLine, PsycInfo and Scopus. Reference lists of included articles and grey literature retrieved through Google and Google Scholar will also be reviewed. Three researchers will screen titles and abstracts, and will conduct full-text review for inclusion. Extracted data will be mapped in a table. ETHICS AND DISSEMINATION: Research ethics approval is not required for data collection from publicly accessible information. Findings will be presented at conferences, submitted for open-access publication in a peer-reviewed journal and made accessible to multiple stakeholders. The scoping review will summarise the literature on virtual team-based care planning for the purpose of informing the implementation of a virtual PIECES™ intervention (Physical/Intellectual/Emotional health, Capabilities, Environment, and Social).
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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 | 0.110 | 0.076 |
| Meta-epidemiology (narrow) | 0.005 | 0.007 |
| Meta-epidemiology (broad) | 0.014 | 0.012 |
| Bibliometrics | 0.021 | 0.015 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.012 | 0.007 |
| Insufficient payload (model declined to judge) | 0.070 | 0.017 |
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".