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Record W3137550914 · doi:10.1093/jcag/gwab002.103

A105 RAPID INTERDISCIPLINARY IBD CLINIC RESULTS IN TIMELY IBD WAIT TIMES, IMPROVED PATIENT SATISFACTION & PATIENT REPORTED OUTCOMES

2021· article· en· W3137550914 on OpenAlexaff
E Buffone, Rohit Jogendran, Eric K. Broni, Katie O’Connor, K Panayotova, Erin Kennedy, Amanda Steiman, Cynthia Maxwell, Afsáneh Alavi, Adam V. Weizman, Vivian Huang

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWomen's College HospitalMount Sinai Hospital
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseUlcerative colitisInterquartile rangeInternal medicineReferralDiseasePhysical therapyFamily medicine

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory Bowel Disease (IBD) patients often have disease flares and extraintestinal manifestations such as rashes, arthralgias & perianal fistulas that require timely assessments. We implemented a Rapid Interdisciplinary IBD program at Mount Sinai Hospital with expedited consultation by an IBD specialist and referral with clinical need to collaborative colorectal surgeon, dermatologist, rheumatologist, and/or high-risk obstetrician. The RAPID program includes an online IBD Dashboard for patients to respond to questionnaires which is closely monitored 90 days post-enrolment by the IBD nurse. Aims To assess the implementation of an Interdisciplinary IBD Clinic & online IBD Dashboard monitoring system on the ability to increase patient satisfaction regarding their IBD care. Methods Upon consent into the RAPID IBD program, patients are enrolled to the IBD Dashboard and complete a Patient Satisfaction (CACHE) questionnaire at baseline, 3, 6, 12 months follow up and clinical disease activity scores at baseline, 1, 2, 3 months post enrollment; the Modified Harvey Bradshaw Index (mHBI) for Crohn’s disease (CD); partial Mayo score and Simple Clinical Colitis Activity Index (SCCAI) for ulcerative colitis (UC) and IBD unclassified (IBDU) patients. Results were compared pre/post enrollment with changes in median and interquartile ranges (IQR). Results 109 patients were referred to RAPID, 88 (49 CD, 33 UC, 6 IBDU) enrolled & 62 consented to IBD Dashboard monitoring. Of those enrolled, 40 patients were referred based on flaring of clinical scores, 23 with potential flare or complication, 17 with acute extraintestinal manifestations, 4 pregnant and 4 with perianal disease. Median 4 (2–7) days to first GI IBD clinic. 15 patients were referred to dermatology, 12 to colorectal surgery, 8 to rheumatology and 3 to obstetrics. 6 patients visited the ER within the first 90 days after enrollment, with 1 (1–2) ER visits. Patient satisfaction improved from baseline 73.5% (68.4%-77.4%) (n=53) to 82.3% (75.5% - 84.0%) at 3 months (n=28). Clinical responses were seen post enrollment with a decrease in mHBI of 3.0 at 2 months, 1.5 on the 6-point Mayo (SF + RB) at 1 & 3 months and patient defined significant improvement in SCCAI greater than 1.5 after 1 month. Conclusions Preliminary results with RAPID IBD program demonstrate a short time to be seen by an IBD specialist, improvement in patient satisfaction and clinical responses in mHBI, pMayo and SCCAI scores 1–3 months post enrollment. Funding Agencies AMO

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)0.001
metaresearch head score (Gemma)0.004
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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.008
GPT teacher head0.242
Teacher spread0.234 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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