HeartFull: Feasibility of an Integrated Program of Care for Patients with Advanced Stage of Heart Failure
Bibliographic record
Abstract
Introduction: Patients at an advanced stage of heart failure (AHF), specifically chronic severe symptomatic heart failure defined as New York Heart Association III/IV with hospitalization in the year prior, have high mortality, healthcare utilization, and low palliative care involvement. Objectives: The primary objectives were to determine the feasibility of recruiting patients and engaging cardiology and palliative healthcare providers in a program of integrated care for AHF (HeartFull); the proportion of patients who died in non-acute care settings. Secondary objectives were to describe patient-reported outcomes and pre-post comparison of healthcare utilization. Methods: Patients were recruited from an urban academic hospital with expert heart failure care and a 24/7 inpatient and home palliative service. Utilization, disposition, and surveys were collected monthly for up to 20 months. Results: Of 46 patients referred, 30 (65%) agreed to participate, 27 died during the study period, 19 (70%) died in non-acute care settings, while 8 (30%) died in hospital. We found no significant difference in pre- and post-intervention rates of hospitalization (RR .715; CI .360, 1.388; P = .3180), nor emergency visits (RR .678; CI .333, 1.338; P = .2590), but both trended downward. No significant changes were observed in patient-reported outcomes. Conclusion: In an urban academic hospital with palliative care, it was feasible to implement an integrated program for AHF. Patients died at home or in a palliative care unit at rates similar to palliative oncology patients and at higher rates than the general AHF population. HeartFull is now part of clinical practice.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".