A73 EVALUATING MENTAL HEALTH CONDITIONS IN YOUTH WITH INFLAMMATORY BOWEL DISEASE: A RETROSPECTIVE STUDY
Bibliographic record
Abstract
Abstract Background Adolescents with chronic disease are at increased risk of psychosocial and socio-emotional challenges. During and after the COVID-19 pandemic, an increased prevalence of mental health conditions was observed in youth with chronic conditions. It is essential to understand the prevalence of mental health conditions in youth with Inflammatory Bowel Disease (IBD) to better support, advocate, and treat mental health conditions within a pediatric healthcare setting. Aims We aimed to determine the number and proportion of patients with IBD at McMaster Children’s Hospital (MCH) whose medical charts have documentation of 1) a mental health condition (generalized anxiety disorder (GAD), social anxiety disorder (SAD), eating disorder, major depressive disorder (MDD), suicidal ideation, attention deficit disorder and other) and/or 2) medication(s) used to treat mental health conditions. Methods Patients 12-17 years old with IBD who were treated in the pediatric Gastroenterology Clinic at MCH and had at least one appointment since June 4, 2022 were eligible. Medical records were reviewed to identify documented mental health conditions and patients’ current medications. The prevalence was then determined. Results Of 114 patients (77 male) (mean (SD) age 15.1 (1.6) years old), 33 (29%, n=20 males) had ≥ 1 recorded mental health condition: GAD (n=27, 82%), SAD (n=1, 3%), eating disorders (n=4, 12%), MDD (n=9, 27%), suicide ideations (n=5, 15%), attention deficit disorder (n=9, 24%), and other mental health conditions (n=1, 3%). Among the 33 patients with documented mental health conditions, 19 (58%) patients were taking medications related to mental health (Table I). Conclusions Our results estimate a 29% prevalence of mental health conditions in youth with IBD at MCH. A lack of mental health resources and screening protocols within this setting could result in an underrepresentation of adolescents with IBD and mental health comorbidities. Future studies will focus on incorporating screening methods for mental health conditions within pediatric healthcare settings to determine current barriers and accessibility to mental health supports. Table I. Medications in patients (n=33) with documented mental health condition Note Medications were prevalent in patients with ampersand:003E1 mental health diagnosis, thus frequency is lower than # of documented mental health diagnoses. *Other mental health conditions: borderline personality disorder and bipolar disorder with depression. Funding Agencies None
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".