Designing the Ideal Patient Navigation Program for Older Adults with Complex Needs: A Qualitative Exploration of the Preferences of Key Informants
Bibliographic record
Abstract
Navigating the healthcare system is complex. Many older adults and their family members report sub-optimal outcomes when transitioning from hospital to home. Patient navigation has been introduced as a model of care to help improve hospital to home transitions and to better integrate care across care environments. There are no best-practice guidelines for designing a patient navigation program for older adults with complex needs. This qualitative descriptive study interviewed 38 healthcare professionals to determine key characteristics of the "ideal" patient navigator program. Thematic analysis revealed four themes describing key components of an ideal patient navigator program for older adults with complex needs: (1) Easy accessibility and open communication amongst staff; (2) flexible eligibility requirements; (3) characteristics of the patient navigator; and (4) appropriate program size and duration. We suggest directions for future research, program design, and implementation considers to improve patient navigation for older adults and their family caregivers.
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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 | 0.000 |
| 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".