Promoting Immigrant Women's Cardiovascular Health Redesigning Patient Education Interventions
Bibliographic record
Abstract
In Brief Cardiovascular disease is the most common cause of death among women from low- to middle-income countries. The most common cardiovascular nursing intervention is that of patient education. However, the applicability of this intervention is questionable, as these educational initiatives are typically designed and evaluated using samples of “white” homogeneous males. Using the social determinants of health framework, this discursive article identifies specific strategies for redesigning existing cardiovascular education interventions to enhance their applicability to immigrant women. The recommendations will allow nurses to enhance the educational support offered resulting in the reduction and/or prevention of cardiovascular-related symptoms and/or complications. Cardiovascular disease is the most common cause of death among women from low to middle income countries. The most common cardiovascular nursing intervention is that of patient education. However, the applicability of this intervention is questionable, as these educational initiatives are typically designed and evaluated using samples of “white”, homogenous males. Using the social determinants of health framework, this discursive paper identifies specific strategies for redesigning existing cardiovascular education interventions to enhance their applicability to immigrant women.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".