Improving access to inflammatory bowel disease care in Canada: The patient experience
Bibliographic record
Abstract
OBJECTIVES: Canada has one of the highest age-adjusted incidence and prevalence rates of inflammatory bowel disease (IBD). Large patient volumes and limited resources have created challenges concerning the quality of IBD care, but little is known about patients' experiences. This paper aimed to better understand patient-perceived barriers to IBD care. METHODS: An exploratory qualitative approach was used for this study. Fourteen focus groups (with 63 total participants) were co-facilitated by a researcher and patient research partner across eight Canadian provinces in 2018. Patients diagnosed with IBD (>18 years of age) and their caregivers were purposefully recruited through Crohn's and Colitis Canada, gastroenterology clinics and communities, and national social media campaigns. Focus group sessions were recorded, transcribed, and analyzed using thematic analysis. RESULTS: Most participants self-identified as being white and women. The analysis generated four key themes regarding patient-perceived barriers and gaps in access to IBD care: (1) gatekeepers and their lack of IBD knowledge, (2) expenses and time, (3) lack of holistic care, and (4) care that is not patient-centered. An additional four themes were generated on the topic of patient-perceived areas of health system improvement for IBD care: (1) direct access to care, (2) good care providers, (3) electronic records and passports, and (4) multidisciplinary care or an 'IBD dream team'. CONCLUSIONS: This research contributes to the limited global knowledge on patients' experiences accessing IBD care. It is valuable for the development of care plans and policies to target gaps in care. Patients have identified system-level barriers and ideas for improvement, which should be taken into consideration when implementing system redesign and policy change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".