At the Heart of Resilience: Empowering Women’s Agency in Navigating Cardiovascular Disease
Bibliographic record
Abstract
Cardiovascular disease (CVD) is the leading cause of death among women globally, emphasizing the need for a healthcare approach that empowers women through agency. This review focuses on the critical role of women's agency in navigating CVD, integrating insights from various fields, including medicine, education, psychology, and sociology. The review highlights the shift toward patient-centred care, a framework in which women are recognized as key decision-makers, a crucial change given the historical underemphasis on women's health issues in medical practice. The diagnosis of CVD in women often involves emotional and psychological challenges. Unexpected diagnoses significantly disrupt perceived well-being, and prolonged diagnostic processes lead to professional skepticism and neglect of symptoms, resulting in delayed or inaccurate diagnoses and strained healthcare relationships. Effective management of CVD necessitates continuous self-management and a holistic approach to care, particularly for those with trauma who are at increased risk of cardiac incidents. Empowerment for women with CVD involves promoting self-confidence, autonomy, and active patient participation in healthcare. Implementing comprehensive care models is crucial for improving chronic CVD management, highlighting the need for healthcare systems that prioritize patient agency and empowerment. From the perspective of a woman with lived experience, this article examines the impact of CVD on women's agency throughout the diagnostic journey. By highlighting women's agency rather than particular behavioural changes, this review offers a comprehensive analysis that can shape policy, stimulate new research, and foster a more equitable, efficient, and empathetic healthcare system for women with CVD.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".