Quality of Life of Individuals With Heart Failure
Bibliographic record
Abstract
BACKGROUND: The growing number of patients with congestive heart failure has increased both the pressure on hospital resources and the need for community management of the condition. Improving hospital-to-home transition for this population is a logical step in responding to current practice guidelines' recommendations for coordination and education. Positive outcomes have been reported from trials evaluating multiple interventions, enhanced hospital discharge, and follow-up through the addition of a case management role. The question remains if similar gains could be achieved working with usual hospital and community nurses. METHODS: A 12-week, prospective, randomized controlled trial was conducted of the effect of transitional care on health-related quality of life (disease-specific and generic measures), rates of readmission, and emergency room use. The nurse-led intervention focused on the transition from hospital-to-home and supportive care for self-management 2 weeks after hospital discharge. RESULTS: At 6 weeks after hospital discharge, the overall Minnesota Living with Heart Failure Questionnaire (MLHFQ) score was better among the Transitional Care patients (27.2 +/- 19.1 SD) than among the Usual Care patients (37.5 +/- 20.3 SD; P = 0.002). Similar results were found at 12 weeks postdischarge for the overall MLHFQ and at 6- and 12-weeks postdischarge for the MLHFQ's Physical Dimension and Emotional Dimension subscales. Differences in generic quality life, as assessed by the SF-36 Physical component, Mental Component, and General Health subscales, were not significantly different between the Transition and Usual Care groups. At 12 weeks postdischarge, 31% of the Usual Care patients had been readmitted compared with 23% of the Transitional Care patients (P = 0.26), and 46% of the Usual Care group visited the emergency department compared with 29% in the Transitional Care group (chi2 = 4.86, df 1, P = 0.03). CONCLUSIONS: There were significant improvements in health-related quality of life (HRQL) associated with Transitional Care and less use of emergency rooms.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".