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Record W4323350889 · doi:10.1093/jcag/gwac036.098

A98 ASSOCIATIONS BETWEEN DISTANCE TO CLINIC AND PATIENT CHARACTERISTICS FOR YOUNG ADULTS WITH IBD AT THE TIME OF PEDIATRIC TO ADULT TRANSFER OF CARE

2023· article· en· W4323350889 on OpenAlexaffabout
Allison Bihari, Karen I. Kroeker, Eytan Wine

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineAnxietyHealth careYoung adultPopulationDiseaseInflammatory bowel diseaseDepression (economics)Retrospective cohort studyPediatricsAdult careCross-sectional studyFamily medicineGerontologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Patients with inflammatory bowel disease (IBD) in childhood are a vulnerable population. Compared to patients diagnosed in adulthood, they may present more often with extensive disease, delayed growth, and more frequently have perianal disease. Eventually, these patients will transfer care from the pediatric to the adult system, which has been associated with medication nonadherence and increase in health care utilization. Within the literature, travel distance has been cited as a barrier to accessing health care; however, understanding its’ impact on this vulnerable patient population has not been well-established. Purpose The study objective was to characterize differences between patients transferring from pediatric to adult care based on distance from an IBD center. To achieve this, the study aims to measure associations between distance to clinic and smoking status, anxiety and depression, history of surgery, and biologics at the time of first appointment in adult care. Method A retrospective cross-sectional study is ongoing using electronic medical charts for patients who transferred from pediatric to adult care from January 1, 2014 – October 4, 2022. Transfer was defined as the patient’s first appointment in adult care at the University of Alberta’s IBD clinic. Distance was measured by driving distance from the patient’s postal code to the postal code of the IBD clinic. Distance was categorized as being <50km from IBD clinic and >50km. Binary outcome variables collected at time of transfer included reported biologic use, anxiety and depression, smoking status, and history of surgeries. Descriptive and inferential statistics were used to analyze data. Result(s) Of the 185 electronic medical charts were reviewed, 46 (24.9%) patients lived >50km from clinic. The median age at diagnosis for the >50km group was 14.5 (IQR: 15.9-13.6), 41% were female sex, 54% had Crohn disease, 41% had ulcerative colitis (UC), and 26% had completed a fecal calprotectin within the last 6 months. The median age at diagnosis of the 139 patients living <50km from clinic was 14.3 (IQR:15.9-12.5), 45% were female sex, 60% had Crohn disease, 32% had UC, and 59% had completed a fecal calprotectin. Of those who had a fecal calprotectin, in group 1, 26% had a result over >250 ug/g, compared to 60% in the reference group. Univariate analysis (Table 1) showed that those living further than 50 km were more likely than those closer to engage in daily smoking (OR~4.7). Weaker and lack of associations were seen with anxiety and depression (OR~1); being on biologics (OR~0.7); history of surgical intervention (OR~2.2). Image Conclusion(s) When smoking status was reported, patients > 50km away from clinic were 4.7 times more likely to engage in daily smoking at time of transfer compared to those patients within 50km from the clinic. By acknowledging and understanding potential differences and similarities between patients characterized by geographical location, we can use this research to inform personalized care plans. Disclosure of Interest None Declared

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)0.000
metaresearch head score (Gemma)0.003
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.313
Teacher spread0.294 · 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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Association of Gastroenterology→Same topicAdolescent and Pediatric Healthcare→French-language works237,207→