A qualitative study of the current state of heart failure community care in Canada: what can we learn for the future?
Bibliographic record
Abstract
BACKGROUND: In North America and other industrialized countries, heart failure (HF) has become a national public health priority. Studies indicate there is significant heterogeneity in approaches to treat and manage HF and suggest targeted changes in health care delivery are needed to reduce unnecessary health care utilization and to optimize patient outcomes. Most recent published studies have reported on the care of HF patients in tertiary care hospitals and the perspective of non-specialist stakeholders on HF management, such as general practitioners and clinics or hospital administrators is rarely considered. This study explores the current state of community-based HF care in Canada as experienced by various healthcare stakeholders providing or coordinating care to HF patients. METHODS: This study employed a qualitative exploratory research design consisting of semi-structured telephone interviews conducted with health care providers and health care administrators working outside of tertiary care in the four most populous Canadian provinces. A modified thematic analysis process was used and the different data sources were triangulated. Findings were collectively interpreted by the authors. RESULTS: Twenty-eight participants were recruited in the study: eight cardiologists, five general practitioners/family physicians, eight nurse practitioners/registered nurses, four hospital pharmacists and three health care administrators/directors. Participants reported a lack of stakeholder engagement throughout the continuum of care, which hinders the implementation of a coordinated approach to quality HF care. Four substantive themes emerged that indicated challenges and gaps in the optimal treatment and management of HF in community settings: 1) challenges in the risk assessment and early diagnosis of HF, 2) challenges in ensuring efficient and consistent transition from acute care setting to the community, 3) challenges of primary care providers to optimally treat and manage HF patients, and 4) challenges in promoting a holistic approach in HF management. CONCLUSIONS: As health systems evolve from tertiary-based care to community-based outpatient services for the management of chronic diseases, this study's findings pinpoint challenges that have been observed in the Canadian context and can stimulate and orient dialogue toward solutions for a more coordinated approach to improve the care of HF patients and reduce pressure on the healthcare system.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.037 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".