Treatment Patterns, Healthcare Resource Utilization, and Spending Among Medicaid-Enrolled Children with Chronic Idiopathic/Spontaneous Urticaria in the United States
Bibliographic record
Abstract
INTRODUCTION: Few studies have described chronic idiopathic/spontaneous urticaria (CIU/CSU) healthcare burden in adults, while this information remains largely unknown in children. We aimed to describe treatment patterns, healthcare resource utilization (HRU), and costs in CIU/CSU pediatric patients, as well as to compare HRU and costs in CIU/CSU and CIU/CSU-free pediatric patients. METHODS: Medicaid claims from four states (09/01/2013-03/31/2016) were used to identify patients less than 12 years old. The CIU/CSU cohort included patients with either at least two claims for idiopathic, other, or unspecified urticaria at least 6 weeks apart, or at least one claim for urticaria and at least one claim for angioedema at least 6 weeks apart (index date defined as the first claim). The control cohort included patients without urticaria/angioedema claims (index date randomly assigned). Patients without at least 6 months of continuous Medicaid eligibility pre- and post-index were excluded. HRU and costs were compared between propensity score-matched cohorts during the post-index follow-up. RESULTS: -antihistamines; 13.5% consulted allergist/immunologists and 2.4% consulted dermatologists in the first 6 months of follow-up. Compared to controls, CIU/CSU patients had significantly more per patient per year (PPPY) inpatient (incidence rate ratio [IRR] 2.05), outpatient (IRR 2.20), and emergency department (IRR 1.64) visits (all p values < 0.05). Moreover, CIU/CSU patients also had significantly higher PPPY healthcare costs (mean cost difference [MCD] $1853), driven by incremental outpatient (MCD $1286) costs (all p values < 0.01). CONCLUSIONS: -antihistamines and high use of oral corticosteroids. Compared to CIU/CSU-free controls in the same age group, CIU/CSU pediatric patients had higher HRU and healthcare costs. FUNDING: Novartis Pharmaceuticals Corporation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".