Development and validation of a tool for the assessment of benefit from treatment of allergic rhinitis in children and adolescents (PBI-AR-K)
Bibliographic record
Abstract
BACKGROUND: Allergic rhinitis (AR) is frequent in children and adolescents and can severely affect their lives. This article describes the development and validation of a questionnaire to assess treatment needs and benefits in children and adolescents, the PBI-AR-K, in a sample of patients receiving grass pollen sublingual immunotherapy. PATIENTS AND METHODS: The PBI-AR-K was developed based on an open survey including children and adolescents and expert consensus between methodologists, patients, and physicians. The PBI-AR-K assesses patient needs before the treatment and perceived benefit during or at the end of a treatment. A weighted benefit score can be calculated ranging from 0 to 4 (4 = highest possible benefit). The validation was conducted in children (5-12 years) and adolescents (13-17 years) receiving sublingual immunotherapy. Subscales were developed based on factor analysis. Psychometric properties of items and scales were assessed with descriptive statistics, internal consistency, and convergent validity. RESULTS: The final PBI-AR-K consists of 19 items. For validation, data from 345 patients (mean age 11.1; 60.9% male; n = 223 children; n = 122 adolescents) was analysed. Factor analyses resulted in four subscales for children and three subscales for adolescents. The items with the highest importance ratings were about choice of leisure activities (mean value in children: 3.5) and about being free of AR symptoms (adolescents: 3.3). The weighted PBI-AR-K scores reflected considerable patient-reported benefit (2.08-2.82) in both children and adolescents. Internal consistency of all scales was good or acceptable. In the children's sample, the global scale and three of four subscales were quite consistently correlated with convergent variables, while the subscale 'treatment burden' was significantly correlated only with change in average impairments due to rhinitis symptoms. The adolescents' sample showed more inconsistent results with only change in rhinitis severity being significantly associate with all subscales. CONCLUSION: The newly developed PBI-AR-K is a reliable and valid questionnaire for use in children; for the use in adolescents, it should be further elaborated.
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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 | 0.022 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".