Characteristics and Trajectory of Older Adults Supported by a Patient Navigator Program in a Hospital Setting: A Cohort Observational Study
Bibliographic record
Abstract
Abstract To improve transitions in care, a new patient navigation (PN) program was introduced to support older adults with complex care needs transition from hospital to home. The patient navigator is a community social worker embedded in the hospital’s care teams. A cohort observational design was used to conduct the study by analysing the patient navigator’s clinical notes and hospital’s administrative data to describe the characteristics of patients, scope of the patient navigator’s activities, and patient outcomes. Ninety patients were assigned to the patient navigator’s caseload (November 2019–November 2021) in which the average age was 78.9 (range 55–95). The most frequent PN intervention types were referrals to community services (66%, n = 59) and discharge planning (61%, n = 55). The patient navigator supported 66% patients (n = 59) in returning home and provided follow-up care for 74 days (average). This study provides important insights into the patient navigator’s role to guide decision makers in implementing PN programs for older adults in a hospital setting.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".