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Record W2790281597 · doi:10.1093/jcag/gwy009.227

A227 UNDERSTANDING ACCESS TO IBD SPECIALTY CARE IN NOVA SCOTIA THROUGH THE PATIENT LENSE

2018· article· en· W2790281597 on OpenAlexaffabout
Courtney Heisler, H Mathias, J B Morrison, Olga Kits, Sander Veldhuyzen van Zanten, Jennifer Jones

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of AlbertaDalhousie UniversityQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsNova scotiaNova (rocket)SpecialtyMedicinePsychologyFamily medicineHistoryEngineeringArchaeologyAeronautics

Abstract

fetched live from OpenAlex

Inflammatory Bowel Disease (IBD) is a chronic immune-mediated disease with significant societal burden. The highest age and sex-adjusted standardized incidence and prevalence estimates of IBD have been observed in Canada, with Nova Scotia exhibiting the highest rates in the country. Despite this burden, Canadians living with IBD often face access barriers when seeking gastroenterology specialty care. To examine IBD care access through the patient perspective in order to identify barriers and facilitators for equitable and efficient access to gastroenterology specialty care in Nova Scotia. A peer-reviewed and patient-piloted questionnaire was developed through extensive consultation with clinicians, epidemiologists, nurse practitioners (NP), and patients. Questionnaires were developed using evidence-based principles and included demographic, disease, referral structure, and referral process-related questions. The survey was administered using a stratified, random sampling approach to ensure geographic representation. Questionnaires were completed by patients presenting to the Nova Scotia Collaborative IBD Program following their appointment with a luminal GI clinician or IBD NP. As of October 2017, 33 respondents completed questionnaires (sample target: 372). Twenty patients were female (20/33, 61%), mean age of 44 years (SD=16.7, range 19–76 years). Crohn’s disease was the most common diagnosis (20/33, 61%), with patients experiencing symptoms between 1 month and 8 years before being seen by a specialist. The majority of patients (25/33, 76%) reported using healthcare services to manage their IBD while waiting to see a specialist, including emergency room services and walk-in clinics. Approximately 20% (7/33) of patients reported that most or all of their appointments were located outside of their community, with a mean wait time of 3–6 months for a specialist appointment. Patients identified long wait times (17/33, 52%), limited resources (e.g. lack of a GI specialist in their community) (10/33, 30%), and poor communication (e.g. lack of communication between patient, referring physician, and specialist) (7/33, 21%) as major access barriers. The top three recommendations by patients for improved access to care were being able to contact the specialists’ office to notify them of worsening symptoms (15/33, 46%), receiving direct communication about wait times and appointments (14/33, 42%), and ability to self-refer (9/33, 27%). This is one of the first studies conducted which examines access to gastroenterology IBD specialty care from the patient perspective. Our findings show clear patient-perceived barriers to accessing IBD specialist care in Nova Scotia with long wait times despite a high medical need. Survey administration is ongoing. CIHRNova Scotia Health Authority Research Fund

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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 designQualitative
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

Citations2
Published2018
Admission routes2
Has abstractyes

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