Improving transitions from acute care to home among complex older adults using the LACE Index and care coordination
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Improving transitions in care is a major focus of healthcare planning. The objective of this study was to determine the improvement in transitions from an intervention identifying complex older adult patients in acute care and supporting their discharge into the community. METHODS: mergency Department Use (LACE Index) was selected to assess a patient's risk for readmission and a standard discharge protocol was developed. In phase 2, the intervention was implemented: (1) all patients were screened for the risk of readmission using the LACE Index; and (2) the high-risk patients were provided care coordination including follow-up phone calls focused on medications, equipment and homecare services. Emergency department (ED) revisits and hospital readmissions were measured. RESULTS: The LACE Index identified 433/1621 (27%) patients at high risk for readmission. Care coordination was achieved within 72 hours in 79% of patients. The 433 high-risk patients receiving the intervention, compared with a group without intervention (n=231), had lower lengths of stay (12.7 days vs 16.6 days); similar 7-day ED revisits (10.6% vs 10.8%) and 30-day ED revisits (30.5% vs 33.3%); lower 90-day readmissions (39.3% vs 44.6%); and lower 6-month readmissions (50.9% vs 58.4%). The 7-day and 30-day readmissions were similar in both groups. CONCLUSIONS: Identifying complex patients at high risk for readmission and supporting them during transitions from acute care to home potentially decreases lengths of hospital stay and prevents short-term ED revisits and long-term readmissions.
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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 | 0.000 | 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 it