The effect of video-based education on patient anxiety in men undergoing transrectal prostate biopsy
Bibliographic record
Abstract
INTRODUCTION: We assess the effect of video-based education on patient anxiety during transrectal prostate biopsy. METHODS: A total of 246 patients who underwent transrectal prostate biopsy were prospectively enrolled in the study. Group 1 included 123 patients who received both written and video-based education, while Group 2 included 123 patients who received only written instructions regarding prostate biopsies. State-Trait Anxiety Inventory (STAI) was used to assess state and trait anxiety (STAI-S/T) After completing the STAI-S and STAI-T questionnaires, all patients in Group 1 received written information and video-based education and they again completed STAI-S before the biopsy. On the contrary, after completing the STAI-S and STAI-T questionnaires, the patients in Group 2 received only written information and then they completed the STAI-S before the biopsy. Moreover, a visual analog scale (VAS) was used to assess pain scores during digital rectal examination, probe insertion, periprostatic local anesthesic infiltration, and biopsy. RESULTS: No difference was noted between 2 groups regarding VAS scores. Comparing the 2 groups on baseline anxiety, we found that trait anxiety scores (STAI-T) were similar (p = 0.238). Pre-information STAI-S scores were similar in both groups (p = 0.889) and they both indicated high anxiety levels (score ≥42). While post-information STAI-S scores remained high in Group 2, post-information STAI-S scores significantly decreased in Group 1 (p = 0.01). CONCLUSIONS: Undergoing a prostate biopsy is stressful and may cause anxiety for patients. Video-based education about the procedure can diminish patient anxiety.
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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 | 0.000 | 0.003 |
| 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) | 0.002 | 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".