Evidence to practice: pre-post-implementation study of a patient/provider resource for self-management with heart failure
Bibliographic record
Abstract
Background Evidence-based recommendations for heart failure self-management are contained in quality clinical practice guidelines. To implement these in practice requires additional translation. Partners in Care for Congestive Heart Failure (PCCHF) is a set of resource materials developed to encourage heart failure patients and their families to assume greater responsibility and to participate in daily decision-making related to their illness experience by enhancing their self-assessment and self-management skills. The study objectives were to evaluate its use, acceptability and relevance of this approach by heart failure patients, nurses and policy-makers. Methods A pre-post study was conducted across 10 rural-urban, acute and community care sites within three Canadian provinces and one US state. Patients' health-related quality of life was assessed with Minnesota Living with Heart Failure Questionnaire and Medical Outcomes Short Form before and 6 weeks after using the PCCHF program. Nurses completed a survey and participated in focus groups. Policy-makers were interviewed before and post implementation. Results Baseline and 6-week measures were completed by 239 patients. Health-related quality of life measures revealed statistically significant improvement after 6 weeks. Thirty-three nurses and 19 policy-makers participated in interviews post implementation. Most patients, nurses and policy-makers found the resource acceptable and relevant to support information needs. Conclusion The PCCHF program positively benefited both patients and clinical staff. The evidence-based teaching materials were considered a useful resource for self-management with heart failure. Time constraints and high staff turnover underline the need for resources like PCCHF to assist in patient-oriented heart failure self-management. Copyright for PCCHF has been transferred to the Canadian Heart and Stroke Foundation for widespread dissemination.
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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 | 0.030 | 0.099 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".