Effect of Sending Educational Video Clips via Smartphone Mobile Messenger on Bowel Preparation before Colonoscopy
Bibliographic record
Abstract
BACKGROUND/AIM: We aimed to evaluate the efficacy of sending educational video clips via smartphone mobile messenger (SMM) on enhancing bowel preparation before colonoscopy. METHODS: This was a prospective, endoscopist-blinded, randomized controlled study. Patients in the SMM group received two video clips sent via SMM that explained the diet and regimen for bowel preparation, whereas those in the control group did not receive any video clips. We compared the quality of bowel preparation between the two groups, which was assessed by an endoscopist using the Ottawa scale. RESULTS: Between August and November 2014, 140 patients in the SMM group and 141 patients in the control group underwent colonoscopic examination. The total Ottawa score of the SMM group was significantly lower than that of the control group (5.47±1.74 vs. 5.97±1.78, p=0.018). These results were particularly prominent in the younger age group; the total Ottawa score of patents in the SMM group aged <40 years was significantly lower than that of patients in the control group aged <40 years (5.10±1.55 vs. 6.22±2.33, p=0.034). CONCLUSION: We demonstrated that sending educational video clips via SMM could result in better bowel preparation, especially in the younger age group.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".