Effects of a web-based preoperative education program for patients undergoing ambulatory surgery: a preliminary study
Bibliographic record
Abstract
Increasing numbers of surgical procedures that were once done in hospitals are now being performed in ambulatory care settings. Provision of quality preoperative education in those settings has become a challenge. This article reports findings from a practice-based study where the nurses in a preoperative preparation center implemented a supplemental, web-based educational program for same-day surgery patients and assessed its outcomes (N = 69). The patients who used the web-based program in addition to usual care achieved significantly higher scores for anesthesia knowledge (t = 2.15, p = 0.04) and teaching satisfaction (t = 2.13, p = 0.04) than those who received usual care only. The findings demonstrate a great potential for use of web-based programs to improve patient education in busy preoperative care areas. A convenience sample with a small sample size was a major limitation. Further studies with large samples are needed to demonstrate tangible clinical outcomes.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".