Understanding the Goals of Older Adults with Complex Care Needs, Their Family Caregivers and Their Care Providers Enrolled in a Patient Navigation Program
Bibliographic record
Abstract
Patient navigation models of care are being used to support hospital-to-home transitions. The present paper aimed to explore the goals important to older adults, their caregivers, and care providers as they transition from hospital-to-home and how, if at all, patient navigation can enable goals of care. Data were comprised of 94 interviews with 16 older adults, 5 family caregivers and 48 healthcare providers. Data were analyzed thematically and similarities and differences in goals were identified. Shared goals included having someone to count on and easy access to services. Older adults expressed the goal of independence, whereas family caregivers and healthcare providers noted safety. Caregivers noted goals of developing skills. While patient navigation was viewed as meeting goals of care by participants, future research is required to determine how patient navigation can support goal setting as a standard clinical practice and the long-term patient outcomes of meeting goals.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".