A "basket of care" for heart failure patients managing at home: evaluating a community-based nursing intervention from a patient's perspective.
Bibliographic record
Abstract
BACKGROUND: Patients with heart failure (HF) in the community represent a large and growing patient population whose complex care requires implementation of innovative care modalities. The Centre Hospitalier--Centre de Sante et de Services Sociaux--Corridor of Service for Heart Failure Patients (CH-CSSS-CSHFP) represents a novel approach to address the challenges of delivering comprehensive care to HF patients in the community. PURPOSE: In this study, the researchers aimed to answer the question: What is the patient's perception of care received in the CH-CSSS-CSHFP? METHOD: A descriptive qualitative design and semistructured interviews guided the inquiry. SAMPLE: A convenience sample (n=5) of HF patients was recruited from five community health centres. RESULTS: Themes that arose from analysis included "Staying home": A shared goal of the patient and service, "Checking on": Health-related monitoring, and "Being connected": Ties to the health care system. CONCLUSION: Results of this study provide insight into the patient's unique perspective on how this service has impacted his/her HF management and may assist health care professionals in designing more effective community-based services.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".