The complex nature of informal care in home‐based heart failure management
Bibliographic record
Abstract
AIM: This paper is a report of a study to examine the complexities of informal caregiving for people with chronic heart failure. BACKGROUND: Little is known of the activities involved and underlying informal care. Heart failure is a common and burdensome condition in which carers play an important management role. METHOD: Semi-structured interviews were carried out with 30 informal carers nominated by patients with mild-to-moderate heart failure (24 spouses, four children, one sibling and one neighbour). Interviews examined knowledge of heart failure, its effects, reported management practices and concerns, decision making and support. The data were collected in 2001. FINDINGS: The management of heart failure was a shared and ongoing responsibility between the carer and patient. Carers' clinical knowledge of the condition and management was often limited, but they developed extensive knowledge of its personal effects on the patient. Invisible care activities included monitoring signs of symptom exacerbation and energy boundaries against perceived current and future demands and priorities. Visible care activities included medication management, dressing, bathing and help-seeking. Carers responded to patients' capacities, and adopted philosophies that sought to foster independence while facilitating as normal a life for the patient as was possible and safe. CONCLUSION: Interventions for informal carers around effective chronic heart failure management should address both visible and invisible informal caring. Future research is needed to develop interventions with carers to improve quality of care, reduce costs and improve patient quality of life. More research is needed to explore the complexities of lay caregiving and to explore the invisible dimensions of informal care further.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".