Patient Educational Needs of Patients Undergoing Surgery for Lung Cancer
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
There often exists a discrepancy between the information health care professionals (HCPs) provide to patients in preoperative teaching sessions and the information patients perceive as important. This study's purpose was to determine what information patients undergoing a lung cancer surgical resection wanted to learn before and after their surgery and also to uncover the information HCPs currently provide to these patients. Ten patients were interviewed preoperatively and postoperatively, and eleven HCPs involved in both their preoperative and postoperative care were interviewed. Emerging themes were noted. Patients reported that the most helpful aspects of the preoperative education included surgical details and the importance of physiotherapy, including exercises. Postoperatively, patients wished they had known more about postoperative pain. HCPs provided information that they felt prepared, informed and empowered their patients. Overall, patients expressed satisfaction with the information they received; they felt prepared for their surgery but not for postoperative pain control.
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 | 0.000 | 0.002 |
| 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 it