A78 THE IMPACT OFGASTROINTESTINAL FOLLOW UP CARE ON HEALTHCARE UTILIZATION IN PATIENTS WITH ESINOPHILICESOPHAGITID (EOE).
Bibliographic record
Abstract
Abstract Background EOE is an increasingly recognized gastrointestinal condition that causes significant morbidity ranging from dietary limitations to food impactions requiring emergency room visits. There are a variety of dietary, pharmacologic and endoscopic treatments available but most are more practically guided by a subspecialist familiar and experienced with the condition. There is a perception among some physicians that follow up is sporadic and may be related at least in part to patient compliance. Aims To assess the true rate of EOE patients follow up rate at Lodon Health Scince Center Methods We used a retrospective cohort of patients diagnosed with EoE between July 2011 and June 2014 who met the traditional diagnostic criteria. As part of a quality improvement initiative, local follow up over the ensuing 5–7 years was tracked. The impact of follow up on subsequent healthcare utilization was analyzed. Results 123 patients with biopsy confirmed EoE were analyzed. Follow up appointments were made for 114/123 (92%) patients. 55/123 (45%) had repeat elective endoscopy booked. Only 10/114 (8.7%) of initial appointments went unattended but 15/55 (27.2%) of the patients offered ongoing follow up failed to attend. There were no complications (ie. perforation or bleeding) attributable to any of the procedures. 5/123 (4%) patients required repeat emergency room endoscopy for food impaction. Two patients required this on multiple occasions. 4/5 patients requiring repeat emergency room endoscopy for food impaction had received some sort of follow up, although 4/5 of these had at least one missed appointment. 2/5 patients having emergency room endoscopy required overnight admission. There were no perforations in the cohort. Conclusions Patients with a confirmed diagnosis of EOE do have a risk of requiring subsequent emergency endoscopy for food impaction although it is not clear that scheduled follow up significantly reduces that risk. Contrary to the perception of some physicians, patients with EoE are very likely to attend their first follow up visit although the attrition rate for subsequent scheduled visits is not insignificant. Funding Agencies None
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".