A Prospective Audit of Patient Experiences in Colonoscopy Using the Global Rating Scale: A Cohort of 1187 Patients
Bibliographic record
Abstract
BACKGROUND: The Global Rating Scale (GRS) comprehensively evaluates the quality of an endoscopy department, providing a patient-centred framework for service improvement. OBJECTIVE: To assess patient experiences during colonoscopy and identify areas that need service improvement using the GRS. METHODS: Consecutive outpatients undergoing colonoscopy were asked to complete a pre- and postprocedure questionnaire. Questions were based on GRS items and a literature review. The preprocedure questionnaire addressed items such as patient characteristics and information provision. The postprocedure questionnaire contained questions regarding comfort, sedation, the attitude of endoscopy staff and aftercare. RESULTS: The preprocedure questionnaire was completed by 1,187 patients, whereas the postprocedure part of the questionnaire was completed by 851 patients (71.9%). Fifty-four per cent of patients were first seen in the outpatient clinic. The indication for colonoscopy was explained to 85% of the patients. Sixty-five per cent of the patients stated that information about the risks of colonoscopy was provided. Sedation was used in 94% of the patients; however, 23% judged the colonoscopy to be more uncomfortable than expected. Ten per cent of patients rated the colonoscopy as (very) uncomfortable. Preliminary results of the colonoscopy were discussed with 87% of patients after the procedure. Twenty-one per cent of the patients left the hospital without knowing how to obtain their final results. Being comfortable while waiting for the procedure (OR 9.93) and a less uncomfortable procedure than expected (OR 2.99) were important determinants of the willingness to return for colonoscopy. CONCLUSIONS: The present study provided evidence supporting the GRS in identifying service gaps in the quality of patient experiences for colonoscopy in a North American setting. Assessing experiences is useful in identifying areas that need improvement such as the provision of pre- and postprocedure information.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".