Sociocultural Considerations in Juvenile Arthritis: A Review
Bibliographic record
Abstract
PROBLEM: Juvenile Arthritis (JA) is one of the most common autoimmune diseases in children. A variety of sociocultural factors that influence health outcomes in children with JA have been examined in previous research. However, clinical guidelines to guide the care of these children lack support because this research has not been systematically examined and synthesized. ELIGIBILITY CRITERIA: Primary research articles from five internet databases were included if they were peer-reviewed articles in English of studies conducted in the U.S. or Canada and referenced one or more determinants of health, quality of life, socioeconomic status, or health disparities in children with JA. SAMPLE: The final sample included 16 articles representing 2139 children and 939 parents. RESULTS: Topics covered in the studies included medication compliance, electronic medical records, environmental risk factors, economic hardship, parental coping, leisure activities, and their effects on patient outcomes including disability and quality of life. Patients with Medicaid experienced more severe outcomes than patients with private insurance despite equivalent levels of healthcare utilization. Other important topics, such as effects of the physical environment and alcohol use, were missing from the literature. CONCLUSIONS: Five categories of health determinants were found to influence outcomes: biology, individual behaviors, social environment, physical environment, and health services. Disparities continue to exist for racial and ethnic minority children with JA and those of low socioeconomic status. IMPLICATIONS: Sociocultural factors should be taken into consideration when developing care plans, research studies, and policies in order to remove barriers and promote the best outcomes for this vulnerable population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".