Patient Experiences in the Management of Inflammatory Bowel Disease: A Qualitative Study
Bibliographic record
Abstract
Background: Inflammatory bowel disease (IBD) can lead to substantial impairments of quality-of-life. Clinical guidelines and quality indicators aid physicians in practice but may not reflect the perspectives and experiences of patients with IBD. To address this, the objectives of this study were to understand patient experiences with IBD care and to explore priorities. Methods: Based on a convenience sample of 36 participants, five focus groups were completed at four sites across Canada. Data were analyzed using a deductive thematic analysis approach to assess emergent themes and variability in participants' experiences. Results: Our results are organized by themes of structure, process and outcomes to illustrate common issues with respect to how care is organized in the healthcare system, how patients receive and experience care and how patients perceive the outcomes of their care. Our results frame a health systems quality approach that signal needed improvements in access to care, the need for innovation with respect to virtual medicine, the potential expansion of multidisciplinary team-based care and the importance of addressing the psychosocial dimensions for patients with IBD and their caregivers in order to better deliver patient-centred care. Conclusions: The issues identified have the potential to impact priority areas in the system, IBD care delivery, and how outcomes can be improved by focusing on 'lived experience' and patient-centred care. The differing values and perspectives of all those involved in caring for patients with IBD underscore the importance of good communication with patients, caregivers and family members, as well as staying responsive to evolving needs.
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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 | 0.017 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".