Low-Cost Transitional Care With Nurse Managers Making Mostly Phone Contact With Patients Cut Rehospitalization At A VA Hospital
Bibliographic record
Abstract
The Coordinated-Transitional Care (C-TraC) Program was designed to improve care coordination and outcomes among veterans with high-risk conditions discharged to community settings from the William S. Middleton Memorial Veterans Hospital, in Madison, Wisconsin. Under the program, patients work with nurse case managers on care and health issues, including medication reconciliation, before and after hospital discharge, with all contacts made by phone once the patient is at home. Patients who received the C-TraC protocol experienced one-third fewer rehospitalizations than those in a baseline comparison group, producing an estimated savings of $1,225 per patient net of programmatic costs. This model requires a relatively small amount of resources to operate and may represent a viable alternative for hospitals seeking to offer improved transitional care as encouraged by the Affordable Care Act. In particular, the model may be attractive for providers in rural areas or other care settings challenged by wide geographic dispersion of patients or by constrained resources.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".