Community- and Patient-Partner Engagement in Women’s Cardiovascular Disease Research: A Rapid Review of the Evidence
Bibliographic record
Abstract
The primary objective of this rapid review is to describe community-partner and patient-partner engagement in women's cardiovascular disease (CVD) research. Secondary objectives are to: (i) describe the phase of the research in which community and patient partners were engaged; (ii) define the level of engagement at each research phase; and (iii) make recommendations for future engagement of community and/or patient partners in women's CVD research. Rapid review guidelines recommended by the Cochrane Rapid Reviews Methods Group and Tricco et al. were used to search 5 databases using medical subject headings (MeSH) and/or keywords. Participants included women (cis and trans) aged > 18 years who had ischemic heart disease, heart failure, or stroke. A risk of bias assessment was not undertaken. Findings are summarized and/or clustered as community-based participatory research, or patient-oriented and/or patient-partner research. Our search yielded 39,998 titles and abstracts. Of these, 35 were included in a final narrative synthesis, comprising data from 474 community and/or patient partners, including 417 (88%) women. Over 85% of community partners collaborated in the design and/or planning and implementation of women's CVD research; most originated in the US; only one originated in Canada. Most patient-oriented and patient-partner research originated in Canada. However, less than 50% of patient partners collaborated in any phase of research. Sex, gender, race, and ethnicity were rarely reported. Results suggest negligible community and inadequate patient-oriented and/or patient-partner engagement in women's CVD research in Canada. Improved CVD outcomes for women may be achieved with better community- and patient-partner collaboration across all phases of research, genders, race, and ethnicities.
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 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 | 0.029 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.000 | 0.003 |
| 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".