“Is My Heart Healing?” A Meta-synthesis of Patients' Experiences After Acute Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: Recovery from acute myocardial infarction (AMI) has been primarily understood in a narrow medical sense. For patients who survive, secondary prevention focuses largely on enhancing clinical outcomes. As a result, there is a lack of descriptive accounts of patients' experiences after AMI and little is known about how people go about the challenge of recovering from such an event. OBJECTIVE: We conducted a meta-synthesis of the available literature on qualitative accounts of patients' experiences after AMI. METHODS: We searched for relevant papers that were descriptive, qualitative accounts of participants' experiences after AMI across 4 electronic databases (April 2016). Using an adapted meta-ethnography approach, we analyzed the findings by translating studies into one another and synthesizing the findings from the studies. RESULTS: After a review of titles/abstracts, reading each article twice in full, and cross-referencing articles, this process resulted in 17 studies with 224 participants (48% women) aged 23 to 90 years. All participants provided a first-person account of an AMI within the 3-day to 25-year time frame. Two major themes emerged that characterized patients' experiences: navigating lifestyle changes and navigating the emotional reaction to the event-consisting of various subthemes. CONCLUSION: Although AMI tends to be seen as a discrete event, participants are left with little professional guidance as to how to negotiate significant, and often discordant, psychosocial changes that have long-lasting effects on their lives, similar to persons with chronic illnesses but without research in place to figure out how to best support them.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.011 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".