Patient‐Reported Barriers at School for Children with Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to identify patient-reported school barriers and their associated impact in juvenile idiopathic arthritis (JIA). METHODS: A cross-sectional observational study of children aged 8 to 17, diagnosed with JIA, and followed in the rheumatology clinic/Alberta Children's Hospital was performed. Demographics, diagnosis, and disease course were obtained from health records. A questionnaire was administered to the child to assess the barriers experienced by JIA patients at school. The questionnaire collected information about school attendance/performance, impact of JIA symptoms (eg, pain and fatigue), physical challenges and accommodations, communication, participation and peers, and school support. Descriptive statistics were used to analyze the data. RESULTS: A total of 98 children with JIA were recruited into the study. The median age of participants was 13 years (interquartile range 11-15). The JIA subtypes in this cohort reflected the normal JIA distribution. Physical challenges at school (eg, gym, writing, and sitting for long periods of time) were reported by 42.1% of patients. Accommodations (eg, modified gym, accommodation letter, and computer access) were used by 23% of patients. The inability to participate in activities in class or outside with their peers occurred for 32.2% of patients and in gym for 40.7% of patients. Social concerns included embarrassment from talking about their illness, worry regarding being treated differently, and being told they were fabricating their illness. CONCLUSION: Children with JIA experienced barriers at school, especially physical challenges, with a need for accommodations in a proportion of children. Decreased participation and increased social anxiety were additional key barriers.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".