Coronary Artery Bypass Graft Surgery Patient Education: A Systematic Review
Bibliographic record
Abstract
Patient education post-coronary artery bypass graft (CABG) surgery is an essential component of nursing care aimed at assisting patients in caring for themselves at home, following discharge from hospital. While there has been a recent interest in conducting meta-analysis and systematic reviews on the effectiveness of patient education during the preoperative period, no review was found on the topic of postoperative CABG patient education. This systematic review addressed the clinically-relevant questions: what approach, mode, and dose is most effective in producing changes in CABG patient education? Studies were included in the systematic review if they met the following selection criteria: (1) the sample represented adult (> or =18 years) patients who underwent CABG surgery; (2) the educational intervention involved the provision of self-care information following surgery but before discharge from hospital; (3) the outcome assessed related to self-care behavior; and (4) the study report was published in English between 1986 and 2008. A descriptive synthesis was used to code and extract data on publication information, study design, sample size, and quality of study, as well as postoperative CABG teaching, self-care behavior performance, and demographic characteristics of the patients who participated in the studies. A quantitative synthesis consisted of a statistical approach, which was used to calculate the magnitude of the treatment effects on self-care behavior. Results indicated larger effect sizes for CABG patient education in which the content was individualized, and given in a combination of media on an individual basis, and in more than one session.
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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 | 0.006 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".