The emotional burden of living with ischaemic heart disease: an artistic approach
Bibliographic record
Abstract
Background/Aims A diagnosis of ischaemic heart disease may cause the individual to enter a state of emotional uncertainty. The authors aimed to provide an arts-based account of the emotional burden experienced by people with ischaemic heart disease. Methods A secondary qualitative analysis of 35 interview with individuals with ischaemic heart disease was conducted. The results from the interview transcripts were analysed and depicted using an arts-based approach, in the form of poetry, musical lyrics and visual art. Results Participants described an overwhelming sense of loss following a diagnosis of ischaemic heart disease, including feeling a loss of control in their lives, loss of self, loss of agency in managing the illness and a loss of hope for the future. The emotional burden that patients carried was likened to going through a grieving process. Three poems, one song and two visual art pieces were created by the authors to depict the emotional burden experienced by the participants. Conclusions Supportive interventions that apply arts-based approaches to practice could be beneficial to target the psychological needs and emotional burden of patients following diagnosis of ischaemic heart disease.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".