P452 Impact of implementing a rapid access clinic in a high-volume inflammatory bowel disease centre: accessibility, resource utilisation and outcomes
Bibliographic record
Abstract
Emergency situations in inflammatory bowel diseases (IBD) put significant burden on the patient and healthcare system as well. We aimed to prospectively measure indicators of quality-of-care, after implementation of a new rapid access clinic (RAC) at the McGill University Health Centre (MUHC) tertiary care IBD centre. The RAC provides patients an opportunity to be evaluated by IBD specialists urgently without having to present to the emergency department. RAC was structured by providing an emergency contact email address to the patients, with a specific document explaining the pertinent symptoms that merit utilisation of this access avenue. Each email was read and reviewed by a specialised IBD nurse or physician. Patient access, resource utilisation and outcome parameters were collected from MUHC IBD Center Rapid Access clinic including consecutive patients who contacted the RAC via email between July 2017 and September 2018. 261 patients (44.1% men, mean age: 39 years, CD: 64% [L3: 46.2%, B2–3: 31.8%], UC: 32% [extensive colitis: 56.6%], biological therapy: 61.6%, previous surgery: 20.4%) were included. 85.7% of requests were deemed appropriate for a rapid appointment. The reason for RAC appointment was potential disease flare in 62.5% of patients. The median time to RAC visit was 3 days (IQR: 1–6 days) from the first point of contact (email/phone) by the patient. Patients had a fast track evaluation with optimised resource utilisation in the majority of cases. CRP and faecal calprotectin were the most common measures of disease severity performed, 85.2% and 62.5%, respectively. Clostridium difficile stool test and stool culture test were performed in 43.8% and 42.4% of the patients. The frequency of colonoscopy and flexible sigmoidoscopy following the RAC visit were 22.9% and 6.7%. Only a minority of patients underwent CT (7.1%) and MR (1%) imaging. A change in therapy promptly occurred in 57.0% of patients. Within 30 days from the index visit, 21 patients (19 patients with IBD-related symptoms) required ER visit and 9 patients hospital admission. 9 ER visits were initiated during the RAC visit, 7 other patients had unplanned ER visit due to continuous IBD activity. Only 5 patients who were screened by the RAC physician and deemed not to require an urgent consultation presented at the ER (unplanned ER visit rate were 1.8%, no patient required admission). Implementation of an RAC improved healthcare delivery by avoiding unnecessary ER visits and by increasing access to an IBD centre. Patients had a fast track evaluation with optimised resource utilisation. Data presented here can serve as example for a more optimal cost utilisation for future IBD centres.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".