Patient Demographics and Learning Needs: Examination of Relationship
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
BACKGROUND: Limited research has examined differences in patients' learning needs in relation to demographic characteristics, such as age, gender, level of education, and culture. Yet such knowledge is essential to develop postoperative educational interventions that are tailored to patients' needs. STUDY PURPOSE: The purpose of this study was to examine the relationship between learning needs and the demographic characteristics of patients who have undergone coronary artery bypass graft (CABG) surgery. METHOD: A descriptive design was used.The sample of convenience included 38 patients who met eligibility criteria. MAJOR RESULTS: Statistically significant relationships were found between the patients' age, gender, and cultural background, and learning needs (p<.05) and not between the learning needs and level of education. APPLICATION: These preliminary highlight the importance of attending to learning needs of patients with different backgrounds in order to improve self-management following CABG surgery.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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