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Record W2793947622 · doi:10.1093/jcag/gwy009.230

A230 NOT ALL PATIENTS WITH GASTROINTESTINAL COMPLAINTS REQUIRE SPECIALIST CARE: TWO YEAR OUTCOMES FROM AN ENHANCED PRIMARY CARE PATHWAY

2018· article· en· W2793947622 on OpenAlexaffabout
Matthew Mazurek, Paul J. Belletrutti, Jennifer Halasz, G S Heather, Mark G. Swain, Kerri L. Novak

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsReferralMedicineTriageEsophagogastroduodenoscopyColonoscopyDemographicsSigmoidoscopyEmergency medicineEndoscopyFamily medicineGeneral surgeryPediatricsInternal medicineColorectal cancer

Abstract

fetched live from OpenAlex

High referral volumes to digestive disease specialists in Canada highlight the ubiquity of gastrointestinal disorders. Yet, due to demand-supply mismatch, wait times for specialist consultation continue to grow, exceeding consensus targets. At our institution, a single point of entry model is used to centralize intake. Recently, an Enhanced Primary Care (EPC) pathway was created to identify certain low-risk patients who do not require immediate specialist consultation. These patients are managed by their primary care physician with support from co-developed best practice guidelines. This study aims to evaluate the overall safety and outcomes for patients declined by our central triage referral system. All patients triaged to the EPC pathway from January 1, 2015–January 31, 2017 were identified. The subset that re-entered the system through an emergency room (ER) visit and/or re-referral to a specialist was determined. Anonymized patient data, including demographics, referral indication, and referral closure date were abstracted and correlated with endoscopic and histopathologic findings. Clinically significant findings were defined as those imparting significant morbidity or need for further specialist management. During the 25-month study period, a total of 1266 unique closed referrals were captured. 136 patients (10.7%) had a subsequent gastrointestinal-related ER visit, of which, 45 (33%) went on to endoscopy. Overall, 192 patients (15.2%) re-entered the referral system and had assessment with esophagogastroduodenoscopy (67%), colonoscopy (17%), sigmoidoscopy (2%), or bidirectional endoscopy (14%). The median time from referral closure to endoscopy was 186 days (range 6–804). The majority of patients were female (60.9%) with an overall median age of 43 years (range 18–87). The most common indications for re-referral were dyspepsia (42%), gastroesophageal reflux (28%), and suspected irritable bowel syndrome (20%). Overall, clinically significant findings were identified in only 4 of 214 procedures (2%). These included 2 patients with esophagitis, 1 advanced adenoma, and 1 benign peptic stricture. No patients were found have malignancy, inflammatory bowel disease, microscopic colitis, or celiac disease. Fully 148 of 214 procedures (69%) were completely normal. Not all patients referred for gastrointestinal consultation require specialist care or endoscopy. Through careful patient selection, the use of the EPC pathway is both safe and effective in identifying low risk patients who are most appropriately managed within primary care. This facilitates optimization of consultative and endoscopic resources for higher risk patients. Division of Gastroenterology, University of Calgary

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.014
GPT teacher head0.258
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes2
Has abstractyes

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