The relationship between CABG patient characteristics and perceived learning needs: a secondary analysis
Bibliographic record
Abstract
BACKGROUND: Patients' learning needs are influenced by socio-cultural characteristics such as level of formal education, sex, and age. Limited research has examined this influence. PURPOSE: The purpose of this study was twofold: 1) to describe the number and type of learning needs identified among first-time CABG patients, and 2) to examine the relationships between learning needs and socio-cultural characteristics (education, sex, and age). DESIGN: This study was a sub-study of a randomized clinical trial (RCT) that evaluated the most appropriate time for delivering education to patients who had CABG surgery. SAMPLE: Individuals having CABG with one to four grafts for the first time and who were literate and cognitively oriented to person, place, and time were included in this study. ANALYSIS: Descriptive and correlation statistics were used to analyze the data. RESULTS: A significant difference between learning needs and sex (p = 0.00) was noted, while a significant relationship between learning needs and age (p = 0.03) was identified. CONCLUSION: This study represents a first step towards identifying the association between perceived learning needs and socio-cultural characteristics.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".