Factors Influencing the Adequacy of Bowel Preparation in Patients With Developmental Disabilities
Bibliographic record
Abstract
BACKGROUND: The rate of inadequate bowel preparation in the general population is approximately 23%. As more individuals with developmental disabilities enter late adulthood, a concomitant rise in endoscopic procedures for this population, including screening colonoscopies, is anticipated. However, there are sparse data on the adequacy of bowel preparation in patients with developmental disabilities. METHODS: A retrospective analysis of 91 patients with developmental disabilities who underwent colonoscopy from 2006 to 2014 was performed. Bowel preparation adequacy from these procedures was evaluated, together with other data, including age, developmental disability diagnoses, procedure type, indication and setting. RESULTS: Mean age at the time of endoscopy was 52.6 ± 13.4 years, with an age range of 18 - 74 years. Inadequate bowel preparation was found in approximately 51% of documented cases. Outpatients were more likely to have adequate bowel preparation compared to inpatients, with an odds ratio of 2.75 (95% confidence interval: 1.14 - 6.62, P = 0.022). No other major factors identified had any statistically significant influence on the adequacy of bowel preparation. CONCLUSION: Over half of patients with developmental disabilities undergoing colonoscopy had inadequate bowel preparations in our study, which is more than twice the rate for the general population. Furthermore, outpatients were 2.75 times more likely to have adequate bowel preparation compared to inpatients. Further studies are recommended to improve endoscopic practices for this patient population.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".