Effect of a Transitional Care Model Following Hospitalization for Heart Failure: 3-Year Outcomes of the Patient-Centered Care Transitions in Heart Failure (PACT-HF) Randomized Controlled Trial
Bibliographic record
Abstract
AIMS: Patients are at high risk of death or readmission following hospitalization for heart failure (HF). We tested the effect of a transitional care model that included month-long nurse-led home visits and long-term heart function clinic visits - with services titrated to estimated risk of clinical events - on 3-year outcomes following hospitalization. METHODS AND RESULTS: In a pragmatic, stepped-wedge cluster randomized trial, 10 hospitals were randomized to the intervention versus usual care. The primary outcome was a composite of all-cause death, readmission, or emergency department (ED) visit. Secondary outcomes included components of the primary composite outcomes, HF readmissions and healthcare resource utilization. There were 2494 patients (50.4% female) with mean age of 77.7 years. The primary outcome was reached in 1040 (94.2%) patients in the intervention and 1314 (94.5%) in the usual care group at 3 years. The intervention did not reduce the risk of the primary composite outcome (hazard ratio [HR] 0.92, 95% confidence interval [CI] 0.81-1.05) nor the component outcomes overall, although numerically reduced the risk of ED visits in women but not men (HR 0.79, 95% CI 0.63-1.00 vs. HR 0.98, 95% CI 0.80-1.19; sex-treatment interaction p = 0.23). The uptake of guideline-directed medical therapy was no different with the intervention than with usual care, with the exception of sacubitril/valsartan, which increased with the intervention (3.3% vs 1.5%; relative risk 6.2, 95% CI 1.92-20.06). CONCLUSIONS: More than 9 of 10 patients hospitalized for HF experienced all-cause death, readmission, or ED visit at 3 years. A transitional care model with services titrated to risk did not improve the composite of these endpoints, likely because there were no major differences in uptake of medical therapies between the groups. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT02112227.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".