Including and Training Family Caregivers of Older Adults in Hospital Care
Bibliographic record
Abstract
BACKGROUND: Despite the role caregivers play in the delivery of care, the interactions and training methods used with caregivers during an inpatient stay are not clear. PURPOSE: The purpose was to examine interactions and training methods used with caregivers during hospital care. METHODS: A mixed-methods case study was conducted. Observations were summarized and interviews were analyzed using thematic analysis. RESULTS: The frequency of caregiver engagement varied at different points in the care process but was highest among observations during the stay care point. Providers were most commonly using written and verbal instructions to train caregivers. Three themes emerged from the interviews and were described to be both facilitators and barriers to caregiver involvement: experience, time, and relationship. CONCLUSIONS: High-quality person and family-centered care depends upon coordinated efforts among health care systems, providers, patients, and caregivers. Future caregiver initiatives should aim to decrease disengagement, increase assessment, and broaden the use of training methods.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".