Evaluation of patients’ expectations and benefits in the treatment of allergic rhinitis with a new tool: the patient benefit index – the benefica study
Bibliographic record
Abstract
BACKGROUND: Symptoms of allergic rhinitis (AR) have a detrimental effect on quality of life. The AR-Patient Benefit Index (AR-PBI), a specific self-assessment tool has been developed to assess treatment-related benefit in two separate sections: the Patient Needs Questionnaire (PNQ) which explores the patient's expectations before treatment and the Patient Benefit Questionnaire (PBQ) which evaluates treatment benefit. For the PNQ, three dimensions summarize patients' expectations: symptoms, social life and emotional state, thus covering a larger field than symptomatic relief. The aim of the study was to validate the French language version of the AR-PBI and to assess the treatment-related expectations and benefits provided in patients with allergic rhinitis treated with H1-antihistamines in a real-life study. METHODS: BENEFICA was a prospective, observational study involving patients with allergic rhinitis who were starting treatment with H1-antihistamines. The Patient Needs Questionnaire (PNQ) was administered before treatment (D0) and the Patient Benefit Questionnaire (PBQ) was collected after a 14-day course of H1-antihistamines (D15). Discomfort (visual analog scale), and quality of life (miniRQLQ) were measured on D0 and D15. RESULTS: Three thousands and eighty-nine patients were enrolled in the study: mean age 39 ± 14 years, women 52%, 81% of patients with moderate to severe persistent rhinitis (Allergic Rhinitis and its Impact on Asthma, ARIA); 19% had (a) concomitant condition(s), 18% were asthmatic, and 12% had atopic dermatitis. Discomfort and quality of life improved between D0 and D15. AR-PBI was 2.7 ± 0.8, superior to 1 (threshold for clinically relevant benefit) for 97% of patients and greater in patients willing to continue the treatment. PBI was moderately correlated to change in miniRQLQ (r = -0.45, p < 0.0001) and change in discomfort (r = -0.38, p < 0.0001), suggesting a richer conceptual content than symptoms relief. CONCLUSIONS: The French version of the Allergic Rhinitis-Patient Benefit Index (AR-PBI) has been validated. It complements the discomfort and quality of life tools and assesses the needs and benefits in patients suffering from allergic rhinitis. This new tool may help physicians to better understand patients' expectations and to discuss treatment issues with their patients.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".