ISQUA17-1430THE VOICE STUDY: EMBEDDING THE PATIENT VOICE OF OLDER ADULTS IN THE EXPLORATION OF THEIR EXPERIENCES DURING CARE TRANSITIONS
Bibliographic record
Abstract
Older adults with multiple chronic conditions typically have more complex needs, and often seek care across different sectors. These older adults may also have multiple care transitions during their health care journey. Poor care transitions often lead to fragmentation in care, decreased quality of care, and an increase in adverse events. Emerging research recommends the strong need to engage patients and families to improve the quality of their care. The objectives of this study were to: (1) describe the experience of older adults with multiple chronic conditions and their caregivers during transitions of care; (2) explore the strategies that patients and their caregivers currently use to navigate their care transition experiences; (3) understand the aspects of their care transitions that patients and their caregivers attribute with safety and quality problems; and (4) understand the aspects of care transitions that patients and their caregivers attribute to improving the safety and quality of their experiences.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".