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Record W4254559166 · doi:10.1093/ibd/zaa010.161

P043 FOCUSING ON THE FUTURE: REDUCING BARRIERS AND IMPROVING ACCESS TO IBD SPECIALTY CARE ACROSS CANADA

2020· article· en· W4254559166 on OpenAlexaboutno aff
Courtney Heisler, Raza Mirza, Olga Kits, Sandra Zelinsky, Sander Veldhuyzen van Zanten, Geoffrey C. Nguyen, Jeffrey D. McCurdy, M. S. Macmillan, Péter L. Lakatos, Laura E. Targownik, Sharyle Fowler, Kevin P. Rioux, Jennifer M. Jones

Bibliographic record

VenueInflammatory Bowel Diseases · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFocus groupHealth careQualitative researchSpecialtyFamily medicineThematic analysis

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory Bowel Disease (IBD) is a chronic immune-mediated disease which affects nearly two million North Americans, with Canada demonstrating the highest age-adjusted incidence and prevalence rates globally. Resulting from compounding prevalence rates, the IBD clinical burden continues to grow. With high demand and limited resources, timely access to specialty healthcare services continues to be a difficulty faced by both patients and healthcare providers. Despite this pervasive issue, there has been no published research to date elucidating the patient perspective using qualitative approaches to compare and contrast the patient experience across Canada. Aims The aim of the study was to elicit a qualitative stream of data to better understand phenomena related to access to healthcare for individuals living with IBD from a patient-centered perspective. Methods Patients diagnosed with IBD (≥18 years of age) were recruited from gastroenterology clinics and communities through IBD specialists and Crohn’s & Colitis Canada. To ensure geographic diversity and representation, patients were recruited from both urban and rural regions. In order to acquire multiple access perspectives, patients were invited to bring a family member who was involved in their care to the focus groups. Co-facilitated by a researcher and a patient research partner, the focus groups were held in seven provinces across Canada. All focus groups were audio recorded, transcribed verbatim, and coded for themes. Themes were distilled through qualitative thematic analysis using Atlas.ti software to ascertain congruence or discordance of patient experiences in relation to IBD care access. Results A total of 63 participants were recruited in fourteen focus groups across seven provinces. The majority of participants were female (41/63, 65%) and from urban/suburban regions (34/63, 54%). The mean age of participants was 48 years (SD=16 years, range=16 to 77 years). Preliminary analyses illustrated three patient-identified access barrier themes: 1) Lack of multidisciplinary care (psycho-social and nutrition support), 2) Diagnostic delay, and 3) Inability to effectively receive and provide communication with healthcare providers. In response, four solutions were proposed: 1) Integration of holistic care into the clinical practice, 2) Readily accessible psycho-social and nutritional support, 3) Increased patient advocacy, and 4) Continuity and liaison through provision of a healthcare navigator resource. Conclusions The complexity of specialty care access for IBD patients cannot be underestimated. It is vital to possess a robust understanding of healthcare system structures, processes, and the significant impact these factors have on patients and the care received. Through the use of patient-centered exploration of barriers and facilitators, access to IBD specialty care in can be better understood and improved on both a provincial and national scale.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.003
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.007
GPT teacher head0.236
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreOther

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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Citations1
Published2020
Admission routes1
Has abstractyes

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