Interventions for the empowerment of older people and informal caregivers in transitional care decision-making: short report of a systematic review
Bibliographic record
Abstract
BACKGROUND: Care transitions across different settings necessitate careful decision-making for all parties involved, yet research indicates that older people and informal caregivers do not have a strong voice in such decisions. OBJECTIVE: To provide a systematic overview of the literature about interventions designed to empower older people and informal caregivers in transitional care decision-making. DESIGN: A systematic review (Prospero Protocol CRD42020167961; funded by the EU's Horizon 2020 program). DATA SOURCES: Five databases were searched: PubMed, EMBASE, Web of Science, PsycINFO, and CINAHL. REVIEW METHODS: The review included evaluations of empowerment in decision-making interventions for older people and informal caregivers facing care transitions, that were published from the inception of the databases up until April 2022. Data extractions were performed by two independent researchers and the quality of studies was assessed with the relevant JBI-critical appraisal tools. A narrative descriptive analysis of the results was performed. FINDINGS: Ten studies, reporting on nine interventions, and including a total of 4642 participants, were included. Interventions included transition preparation tools, support from transition coaches, shared decision-making interventions, and advance care planning. Designs and outcomes assessed were highly diverse and showed a mix of positive and lacking effects. CONCLUSIONS: There is a lack of research on how to empower older people and their informal caregivers in transitional care decision-making. Empowerment in decision-making is usually not central in transitional care interventions, and effects on actual empowerment are mostly not assessed. Conclusions on how to empower older people and informal caregivers in transitional care decision-making cannot be drawn.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 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".