Improving Transitional Care for Older Adults: Results of a Patient-Centred Quality Improvement Intervention
Bibliographic record
Abstract
Abstract The objective of this study was to evaluate the implementation and outcomes of a quality improvement intervention for older adults discharged from hospital to home, that used a patient-centred discharge education tool called the Patient-Centered Discharge Plan (PCAP). We conducted a pre–post evaluation of PCAP implementation among patients 65 years and older and discharged home from an acute medical or geriatric admission at two general hospitals. Two patient cohorts, PRE and POST, were analysed using administrative data (n = 3,309) and post-discharge structured interviews in a subset of patients (n = 326). Outcomes were 90-day readmissions and return emergency department (ED) visits, and transition experiences (10-item scale). The PCAP was provided to 20 per cent of 1,683 patients. Transition experience scores increased from PRE to POST at both hospitals (adjusted beta 1.3; 95% CI: 0.8, 1.7), and return ED visits declined in one of the two hospitals (adjusted decline 1.3%; 95% CI: -3.7, 6.2). In conclusion, dedicated resources are needed to support future PCAP implementation.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".