Understanding the integration of family caregivers in delirium prevention care for hospitalized older adults: A case study protocol
Bibliographic record
Abstract
AIM: To understand family caregiver involvement in delirium prevention care for older adults hospitalized for orthopaedic surgery hospitals and family caregiver integration by nurses. DESIGN: Multiple-case study. METHODS: The model of Care Partner Engagement was selected as theoretical framework. Eight cases will comprise an older adult hospitalized a family caregiver and a ward nurse. They will be recruited with a non-probability sampling on two orthopaedic surgery wards in two hospitals. Semi-structured interviews with participants will be audiotaped. Sociodemographic data will be collected. These data, researcher field notes and interview transcripts will be subjected to within- and across-case thematic analysis. Regional ethics committee approved the study protocol in August 2018. DISCUSSION: The study will allow surgical nursing teams to gain a better understanding of the issues and possibilities regarding family caregiver integration in delirium prevention care for older adults.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".