92 Engaging patients and parents to improve mental health for youth with systemic lupus erythematosus
Bibliographic record
Abstract
<h3>Background</h3> Mental health conditions are common in youth with systemic lupus erythematosus (SLE), yet intervention strategies are understudied. We used a patient-engaged approach to investigate the mental health needs of youth with SLE. <h3>Methods</h3> An anonymous online survey examined beliefs and experiences with mental health for youth with SLE. Eligible youth ages 14–24 years had a diagnosis of SLE and reported specific treatment for the condition. Parents of youth 8–24 years meeting the above criteria were also eligible to participate. The survey was developed in collaboration with patient and parent advisors, the Childhood Arthritis and Rheumatology Research Alliance (CARRA), and the Patients, Advocates, and Rheumatology Teams Network for Research and Service (PARTNERS). Participants were recruited through the Lupus Foundation of America and CARRA clinics. We tabulated youth responses for i) self-reported prevalence of mental health problems, categorized into mutually exclusive clinician-diagnosed disorders and self-diagnosed symptoms, and ii) mean Likert ratings (0=low, 4=high) for the impact of disease related-factors on their mental health. We also compared youth and parent responses using regression models to examine comfort level with potential mental health providers. <h3>Results</h3> 102 respondents included 59 patients (58%) and 43 (42%) parents. Youth had a mean age of 20.9 (standard deviation, SD=3.4) years, and mean disease duration of 6.9 (SD 4.0) years. History of a mental health problem was reported by 21 youth (36%), of which 66% said that their rheumatologist was unaware. Clinician-diagnosed anxiety was reported by 19%, depression by 12%, and adjustment disorders by 19%; another 17%, 8% and 10% had self-reported symptoms of these disorders, respectively. Mean Likert ratings by youth indicated that disease aspects most impacting mental health were worry about disease impact on the future at 3.0 (SD 1.2), worry about having a flare at 2.9 (1.2), and worry about medication side effects at 2.8 (1.3). Youth and parents felt most comfortable discussing mental health concerns with rheumatologists and primary care providers, and least comfortable with social workers and school counselors (figure 1). <h3>Conclusions</h3> Youth with SLE have high rates of diagnosed and undiagnosed mental health problems, which are impacted by their disease. Mental health intervention strategies in rheumatology settings may improve mental health education, screening and treatment for these youth. <h3>Funding Source(s):</h3> The Childhood Arthritis and Rheumatology Research Alliance
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.004 | 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".