An examination of the postdischarge recovery experience of patients who have had heart surgery
Bibliographic record
Abstract
fredericks s & dasilva m (2010) Journal of Nursing and Healthcare of Chronic Illness 2 , 281–291 An examination of the postdischarge recovery experience of patients who have had heart surgery Aim. This review was conducted to address the clinically relevant question: What is the postoperative recovery experience of the individual who has had Coronary Artery Bypass Graft and Valve Replacement surgery? Background. Although resources to promote recovery following Coronary Artery Bypass Graft and Valve Replacement surgery are provided, over a quarter of all patients are being readmitted to hospitals with postoperative complications experienced during the first 3 months of recovery. A possible reason for the high rate of readmission following heart surgery is the quality of patient engagement in the performance of self‐care behaviours. In particular, patients who have had CABG and/or VR may not be fully engaged in the required self‐care behaviours during their first 3 months of recovery. Methods. A review of studies that examined the postoperative recovery experience of patients who had CABG and/or VR was conducted. Results. Findings suggest the type of post‐operative complication identified during the first 3 months of recovery following Coronary Artery Bypass Graft and Valve Replacement was either cognitive or cardiac in nature. As well, the number of self‐care behaviours patients engage in during their hospital discharge was slightly less than the number of behaviours patients performed while in hospital. Conclusion and relevance to clinical practice. As close to half of the sample reported some form of cognitive impairment within the first 3 months following surgery, it is possible that this impairment may have influenced the type and number of self‐care behaviours performed. Therefore, further research is needed to determine the best time to educate patients during their recovery following hospital discharge.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".