A Comparison of Hospital and Nonhospital Colonoscopy: Wait Times, Fees and Guideline Adherence to Follow‐Up Interval
Bibliographic record
Abstract
BACKGROUND: Although colonoscopy is increasingly performed in nonhospital facilities, studies to date examining differences between colonoscopy services in hospital and nonhospital settings have been limited, in large part, to administrative databases. OBJECTIVES: To describe the experiences of patients receiving colonoscopy in hospital and nonhospital settings, and to compare these settings with respect to wait times and recommended follow-up interval to the next colonoscopy. METHODS: A postal survey of 2000 patients, 50 to 70 years of age, from an urban academic family practice was conducted. Most recent colonoscopy was classified as either occurring in a hospital or nonhospital setting. Multivariable logistic regression analysis was used to examine the association among wait times, follow-up intervals and patient factors with respect to colonoscopy setting. RESULTS: Patients who underwent their most recent colonoscopy outside of a hospital were more likely to be men (P=0.01) and to have undergone more than one previous colonoscopy (P=0.02). For patients with a normal screening colonoscopy and no family history of colorectal cancer or polyps, nonhospital clinics less often recommended a 10-year follow-up interval (OR 0.13 [95% CI 0.04 to 0.47]). Reported wait times at nonhospital clinics were shorter for patients receiving screening colonoscopy (OR 2.11 [95% CI 1.28 to 3.47]), but not for symptomatic patients (OR 1.74 [95% CI 0.88 to 3.43]). For individuals attending nonhospital clinics, 10% were referred from a hospital by the same specialist performing the procedure; 31.7% reported paying a fee. CONCLUSION: Nonhospital clinics were far less likely to adhere to guidelines regarding follow-up intervals for low-risk patients. Given the implications for both health care costs and patient safety, further study is needed to determine the cause of this disparity.
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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 | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".