A prospective qualitative study on patients’ perceptions of endoscopic endonasal transsphenoidal surgery
Bibliographic record
Abstract
BACKGROUND: Endoscopic transsphenoidal surgery has been shown to be a safe and effective treatment option for patients with pituitary tumours, but no study has explored patients' perceptions before and after this surgery. OBJECTIVE: The authors in this study aim to explore patients' perceptions on endoscopic transsphenoidal surgery. METHODS: Using qualitative research methodology, two semi-structured interviews were conducted with 30 participants who were adults aged > 18 undergoing endoscopic transsphenoidal surgery for the resection of a pituitary tumour between December 2008 and June 2011. The interviews were audiotaped and transcribed. The resulting data was analyzed using a modified thematic analysis. RESULTS: Seven overarching themes were identified: (1) Patients had a positive surgical experience; (2) patients were satisfied with the results of the procedure; (3) patients were initially surprised that neurosurgery could be performed endonasally; (4) patients expected a cure and to feel better after the surgery; (5) many patients feared that something might go wrong during the surgery; (6) patients were psychologically prepared for the surgery; (7) most patients reported receiving adequate pre-op and post-op information. CONCLUSIONS: This is the first qualitative study reporting on patients' perceptions before and after an endoscopic endonasal transsphenoidal pituitary surgery, which is increasingly used as a standard surgical approach for patients with pituitary tumours. Patients report a positive perception and general satisfaction with the endoscopic transsphenoidal surgical experience. However, there is still room for improvement in post-surgical care. Overall, patients' perceptions can help improve the delivery of comprehensive care to future patients undergoing pituitary tumour surgery.
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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 | 0.016 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".