Pain-Friendly Strategies: Nursing Intervention in Postoperative Myocardial Revascularization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction. Pain is the main symptom in the outpatient postoperative period after myocardial revascularization, negatively impacting on physical mobility, rest, emotional well-being and patient recovery. Objective. To determine the effect of a nursing educational intervention on pain reduction in patients undergoing myocardial revascularization during the outpatient postoperative period. Method. A quantitative, quasi-experimental study, with pretest-posttest design. Eighty revascularized patients randomly assigned to an experimental group and a comparison group at a private institution in Cúcuta (Colombia) participated. The McGill Pain Questionnaire and the Inventory of Distress-State Anxiety (IDARE) were used to evaluate the effect of the intervention, after the participants signed the informed consent form. Results. The nursing educational intervention significantly reduced pain and anxiety in the experimental group, both overall and in each of its dimensions (p < 0.05). In the comparison group, no statistically significant changes were observed (p > 0.05). The educational intervention with structured follow-up favored the comprehensive recovery of patients who had undergone myocardial revascularization in the home environment. Conclusion. The nursing educational intervention was effective in reducing postoperative pain and associated symptoms in patients with myocardial revascularization.
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.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it