Relationship between post-operative patient education
Bibliographic record
Abstract
Over a quarter of all heart surgery patients are readmitted to hospitals across Canada with post-operative complications experienced during the first three months of recovery. This may be due to the quality of existing patient education intervention. Specifically, the mode, episode, and timing of delivery of standard education programs may not be optimal in promoting self-care behaviours, resulting in the development of complications and leading to increased hospital readmissions. The objectives of this preliminary descriptive study were twofold: (1) to describe the most consistent mode, episode, and timing in which education is provided to patients following heart surgery and (2) to identify the degree to which the current educational mode and episode are correlated to readmission rates following hospital discharge. A non-experimental preliminary descriptive design was used to address the study objectives. Setting: Thirty-three patients were recruited from a cardiovascular surgical unit located within a large tertiary hospital. Method: Patients were included if they underwent heart surgery for the first time, were literate in English, cognitively oriented, and had access to a working phone at home. Point-biserial correlations were performed to identify the degree to which the characteristics of existing patient education were correlated to hospital readmission rates. Results: A statistically significant inverse relationship between episode and hospital readmission (r pb = (0.49, p = 0.001) was noted, suggesting that with reduced exposure to patient education, there is an increased likelihood for hospital readmissions. Conclusion: Increasing the number of times education is provided may reduce the number of hospital readmissions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".