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Record W2792497783 · doi:10.1093/jcag/gwy009.143

A143 THE CANADIAN LANDSCAPE OF IBD CARE: ARE WE KEEPING PACE? PRELIMINARY RESULTS FROM A NATIONWIDE SURVEY

2018· article· en· W2792497783 on OpenAlexaffabout
Matthew Miles, Juan Nicolás Peña-Sánchez, Courtney Heisler, Jennifer Jones

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsHealth Sciences CentreUniversity of SaskatchewanDalhousie University
Fundersnot available
KeywordsPaceGeographyEnvironmental planningBusinessEnvironmental resource managementEnvironmental scienceGeodesy

Abstract

fetched live from OpenAlex

Patients with inflammatory bowel disease (IBD) require lifelong medical and surgical management of their disease. Globally, many institutions have adopted integrated collaborative care models to improve patient care. Studies of these dedicated IBD services have shown they improve patient outcomes and quality of life. Little is known, however, what models of care for the management of patients with IBD are currently used across Canada. The objectives of this study are to 1) determine the structure and processes used in clinics providing care for patients with IBD across Canada, 2) understand how IBD patients access IBD clinics across Canada, 3) identify the IBD practitioners and allied health professionals working with IBD clinics across Canada, and 4) determine the process and structure of referral pathways and clinical visits for IBD patients. Evidence-based survey development methods were used to develop a peer-reviewed and piloted, web-based questionnaire to survey Canadian gastroenterologists who provide care for IBD patients. The questionnaire was developed using Novi Survey software. The contact information for each gastroenterologist in Canada was acquired using a database provided by Scott’s Directories. Participants’ lists were finalized after cross-referencing the Scott’s database with gastroenterologists listed by the Royal College of Physicians and Surgeons. In October 2017, the entire target population was invited to participate in the survey using the Dillman’s Tailored Design methodology. This work is in progress. To date, 14/583 (3%) survey questionnaires have been received from 7 provinces. Nine (65%) respondents are male and the mean age is 45 (SD=10) years. Working in or affiliated with most respondent IBD clinics are gastroenterologists specializing in IBD (71%), medical residents (71%), medical students (64%), gastroenterology residents (64%), IBD nurse non-practitioners (64%), research nurses (64%) general gastroenterologists (57%), IBD nurse practitioners (57%), dieticians (57%) and radiologists (57%). Few respondent IBD clinics have nurse educators (36%), general surgeons (36%), colorectal surgeons (36%), ophthalmologists (36%), social workers (36%), nurse navigators (29%) or psychiatrists (21%) working in or affiliated with them. IBD in Canada represents a significant burden of illness. Most of the respondents to date work in IBD clinics comprised of gastroenterologists, trainees, IBD nurses, research nurses and dieticians while few work with nurse educators or navigators, surgeons, social workers or psychiatrists. Given the limited number of responses to date the sample thus far is likely not representative and the final results of this survey will be presented once the survey distribution process is complete. None

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)0.004
metaresearch head score (Gemma)0.016
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 score0.955
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.008
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.209 · 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

Explore more

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