Effectiveness of interventions involving nurses in secondary stroke prevention: A systematic review and meta-analysis
Bibliographic record
Abstract
Background and purpose: Among members of the health care team, nurses play a large role in actively engaging stroke survivors in secondary stroke prevention programs. This systematic review and meta-analysis examines the effectiveness of interventions in which nurses have a primary role on modification of risk factors among stroke survivors. Methods: We systematically searched for randomized controlled trials in relevant databases investigating the role of nurses in secondary stroke prevention. Meta-analyses were conducted using Cochrane Review Manager Software. The mean pooled effect size, a 95% confidence interval (CI), and I-squared ( I 2 ) for heterogeneity were calculated. Results: Sixteen randomized controlled trials were included with a total of 3568 stroke and transient ischemic attack patients. After removing one outlier, the models demonstrated a statistically significant effect on reducing systolic blood pressure (SMD = −0.14 (95% CI = −0.23, –0.05), I 2 = 0%; p = 0.002, six studies, n =1885) and diastolic blood pressure (SMD = −0.16 (95% CI = −0.27, –0.05), I 2 = 0%; p = 0.003, four studies, n =1316). The interventions also significantly improved physical activity (five studies, n=1234), diet (three studies, n=425), medication adherence (two studies, n=270), and knowledge of risk factors (three studies, n=516). However, there was no effect on smoking cessation or reduction in use of alcohol. Conclusion: We found that interventions in which nurses had a primary role were effective on improving medical and behavioral risk factors, as well as knowledge of risk factors as part of secondary prevention of stroke.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.028 |
| Bibliometrics | 0.001 | 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".