Delivery of evidence-based interventions for psychological distress in persons living with IBD: a roadmap for human-centred design and implementation
Bibliographic record
Abstract
Background: Inflammatory bowel disease-related psychological distress (IBD-PD) refers to the emotional impact of IBD and has been shown to be associated with increased disease severity, comorbid mental health disorders, and increased mortality. Aims: This study aims to identify the facilitators for accessing evidence-based interventions for IBD-PD to inform the design and implementation of patient-centred models for IBD mental health support in the future. Methods: This was a qualitative research study in which a semistructured interview script was developed by a multidisciplinary team guided by the domains of the COM-B Behaviour Change Wheel framework. Using thematic analysis, codes were generated to identify themes using an inductive approach. Results: = 14). Thematic analyses identified the following major themes: (1) mental health should be treated as an integrated component of specialty IBD care; (2) use of self-help strategies alongside existing supports is feasible, acceptable, and accessible; (3) accessing support for IBD-PD through virtual care is often acceptable; and (4) flexible, multifaceted delivery models for IBD-PD are needed. All participants felt that mental health should be discussed at IBD clinic visits. Preferences for hybrid formats for IBD-PD care were clear. Most participants felt that it was important for psychological support persons to also have IBD knowledge. Participants felt strongly that a more qualified psychologist, even in the absence of IBD knowledge, was their top priority Conclusions: Some key facilitators identified from this study include healthcare professionals discussing IBD-PD directly with their patients, offering hybrid formats for IBD-PD, and integrating self-help strategies into care.
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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 | 0.331 | 0.249 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.006 | 0.015 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
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".