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Record W4411846598 · doi:10.3899/jrheum.2025-0314.138

Mental Health Screening in Pediatric Rheumatology: A Feasibility Study

2025· article· en· W4411846598 on OpenAlexaffvenue
Sarah James, Jaime Guzmán, Kristin Houghton, Lori Tucker, Janine Slavec, Laura Lolacher, Karen Hodge, Nick McPhate

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineRheumatologyInternal medicineMental healthMEDLINEFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Objectives The aims of this study were: (1) to determine the acceptability and practicality of mental health screening in patients with juvenile idiopathic arthritis (JIA) during routine visits at a pediatric hospital multidisciplinary clinic; (2) to understand the frequency and severity of anxiety and depressive symptoms within this sample. Methods Patients with JIA aged 8-17 were invited to participate during their routine clinic appointments. Recruited participants completed 3 questionnaires on an iPad: PROMIS Pediatric Anxiety (v3), PROMIS Pediatric Depression (v3), and a short questionnaire regarding the acceptability of the screening process. Caregivers then completed a short questionnaire regarding the acceptability of the process. Our occupational therapist provided participants with feedback on their PROMIS scoring profile and relevant mental health resources during their clinic visit. Results Forty patient-parent dyads were recruited during routine follow-up appointments at the Rheumatology Clinic at BC Children’s Hospital between April and August 2024 (mean patient age = 13.5 years; 23 females). Another 26 families were approached but declined, primarily due to time constraints. The mean PROMIS Anxiety t-score was 51.79 (SD=11.06) and the mean PROMIS Depression t-score was 50.54 (SD=7.62), both similar to the general population (mean=50 SD=10). Six patients (15%) had elevated or very elevated anxiety scores, and 2 patients (5%) had elevated depression scores. Overall, 92% of patients and 95% of caregivers reported the screening process to be ‘Acceptable’ or ‘Completely Acceptable’, while 57% of patients and 87.5% of caregivers reported that the rheumatology team should check in about mental health. Most patients (87.5%) reported it took ‘No effort at all’ or ‘A little effort’ to complete the questionnaires. Ninety percent of caregivers reported they were ‘Very Comfortable’ or ‘Comfortable’ with their child completing the questionnaires. Patient and parent responses regarding the ideal frequency of the screening were evenly split between every visit, every 6 months and every year. Conclusion There was high acceptability of the mental health screening process among patients and caregivers. A greater percentage of caregivers compared to patients thought that the rheumatology team should check in about mental health during routine clinical visits. Most patients considered it took little additional effort to complete the questionnaires. The mean anxiety and depression scores were similar to the general population with a small proportion reporting elevated scores. Mental health screening is feasible within routine rheumatology clinic visits and should be considered by health professionals providing care for youth with JIA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.073
GPT teacher head0.449
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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