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Record W3134615428 · doi:10.1093/jcag/gwab002.107

A109 LINKING PRIMARY AND SPECIALTY CARE FOR THE MANAGEMENT OF DIGESTIVE HEALTH CONDITIONS: AN EVALUATION OF GUT LINK IMPLEMENTATION

2021· article· en· W3134615428 on OpenAlexaff
Michael J. Stewart, Courtney Heisler, Ali Kohansal, Shivam Patel, Gerald Williams, Shelley Williams, Matthew Miles, Julie Zhu, Tasha Kulai, Kevork Peltekian, S E Gruchy, Ian Epstein, Davide Farina, Jennifer Jones

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsReferralMedicineSpecialtyTriageFamily medicineObservational studyPrimary careEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Severe restrictions on in-person encounters and endoscopic procedures for digestive care have occurred as a result of the COVID-19 pandemic. This has exacerbated pre-existing barriers in access to gastroenterology (GI) care across Nova Scotia (NS) for patients and primary healthcare providers (PHCPs). In response, a provincial PHCP-GI consultative service (GUT LINK) was implemented at a single tertiary care center with the goal of supporting PHCPs in the management of non-urgent GI referral conditions. Aims To implement and evaluate the acceptability, feasibility, appropriateness, and early effectiveness of the GUT LINK PHCP-GI consultation service. Methods This is an ongoing prospective observational cohort study. All referrals received through the EMR-based referral and triage management system between May and November 2020 that were deemed to be amenable to management within primary care with specialist support were returned to the PHCP with the suggestion to arrange a GUT LINK telephone consultation. GUT LINK appointments were scheduled through an administrative support telephone line with the PHCP and a GI specialist. A post-consultation e-questionnaire was distributed to PHCPs who consented to participate. Feasibility (number of and indication for referrals, PHCP participation rates), acceptability and appropriateness (satisfaction, future use, likelihood to recommend) metrics and outcomes (case resolution, re-referrals, proportion requiring endoscopic investigations) were recorded. Patient charts were reviewed to determine whether the patient ultimately required GI speciality care. Analyses were descriptive and expressed as frequencies, means (+/-SD), medians (+/-SE), and proportions (%). Results A total of 45 GUT LINK consultations were completed between May and November 2020. Of these, 20% required GI specialist care and 80% have remained within primary care, with a median follow-up of 101 (+/-9.1) days. The indications for GUT LINK consultation included lower GI symptoms (64%), abnormal imaging or investigations (17%), and upper GI symptoms (19%). To date, 21 PHCP agreed to be contacted for the post-consultation survey and 10 have been completed. All PHCPs reported that GUT LINK consultation was easy to access, while 90% found the advice helpful and 80% reported that that it resolved the issue. Following the GUT LINK appointment, 80% felt they would not need to refer their patient to GI. Conclusions The implementation of GUT LINK was acceptable, feasible, and improved access to specialist support for management of undifferentiated GI symptoms. Future research will focus on comprehensive stakeholder engagement in order to design, implement, and evaluate GUT LINK PHCP care pathways. Funding Agencies CAG

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)0.049
metaresearch head score (Gemma)0.089
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 score0.991
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.089
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.306
Teacher spread0.282 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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