Health status, perceptions of coping, and social support immediately after discharge of survivors of acute myocardial infarction
Bibliographic record
Abstract
BACKGROUND: The period immediately after discharge from the hospital after an acute myocardial infarction is a stressful and vulnerable time about which little is known. OBJECTIVE: To explore health status, perceptions of coping, and social support among survivors of a recent myocardial infarction in the first 3 weeks after discharge from hospitals in southwestern Sydney, Australia. METHODS: A descriptive, exploratory approach with a triangulated methodology was used to assess the experiences of 38 survivors, detect patterns in these experiences, explore the health-support needs of survivors, and determine changes in health status in the first 3 weeks after discharge. Quantitative data were collected with the Medical Outcomes Study SF-36, New York Heart Association classification, Canadian Cardiovascular Society Angina Scale, and the Jalowiec Coping Scale. A semistructured interview schedule provided additional qualitative data about the experiences of the survivors. RESULTS: The health status of participants was relatively stable during the 3-week period; most had no activity limitation due to dyspnea or angina. However, the subjects' health status was considerably lower than that of their age-matched population. The most common and most effective coping strategies adopted during this period were confrontation, optimism, and self-reliance. In addition, the subjects experienced anxiety, depression, ambiguity and uncertainty, fear of recurrence of the infarction and of deterioration in health, of boredom and of inertia. CONCLUSION: These findings can help nurses in hospital and community settings assist survivors of acute myocardial infarction to prepare for and deal effectively with experiences during convalescence.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".