419 Patient satisfaction with treatments for moderate-to-severe atopic dermatitis according to degree and speed of skin and itch improvements: results from a patient survey in the United States
Notice bibliographique
Résumé
Abstract Atopic dermatitis (AD) is a chronic, inflammatory disease characterized by sensitive and dry skin, eczematous lesions and intense pruritus. Patients with moderate-to-severe AD often require systemic treatments if their symptoms are insufficiently controlled with topical treatments or phototherapy. While numerous systemic therapies are currently available for moderate-to-severe AD, more data evaluating patient satisfaction with various characteristics of these treatments are needed to help guide physicians and their patients with joint treatment decision-making. This study aims to investigate patient satisfaction with AD treatments according to the degree and speed of itch improvement and the degree of skin clearance. A cross-sectional, web-based survey was used to evaluate patient preferences for characteristics associated with systemic AD therapies. Respondents were required to have a physician-confirmed diagnosis of AD (currently moderate or severe), to be aged ≥18 years, to be a US resident, and to read and understand English. Assessments included worst itch experienced in the past 24 h (using a scale from 0 to 10, with 0 defined as no itch and 10 defined as the worst imaginable itch), time to noticeable itch reduction following initiation of their current treatment (1–6 days, 7–13 days or ≥14 days) and the amount of body surface area still affected by AD (≤2%, 3–10% or >10%; patient-assessed). Patient satisfaction with itch improvement, speed of itch improvement and skin clearance with their current treatment was also assessed and classified into three categories: satisfied, dissatisfied or neither. P values were determined by Chi-square tests (or Fisher’s exact test where appropriate). Of the 213 individuals recruited by physicians to participate in the survey, 200 respondents fulfilled the eligibility criteria, consented to participate and completed surveys. A total of 186 respondents indicated that they were currently receiving treatment for their AD; treatments included over-the-counter creams, ointments or medicines (26.9%, n = 50), prescription creams (72.0%, n = 134), oral corticosteroids (16.7%, n = 31) or dupilumab (11.3%, n = 21). Treatment satisfaction differed based on the patient's itch level within the past 24 h (P < 0.001): 85.2% (n = 23) of the 27 patients reporting the lowest levels of itch (0–1) indicated they were satisfied with their current treatment, whereas only 7.1% (n = 1) of the 14 patients reporting the worst levels of itch (8–10) were satisfied with their current treatment. Among the 73 respondents who experienced the fastest itch reduction (within 1–6 days), 65.8% (n = 48) were satisfied with their treatment. For the 36 respondents experiencing itch reduction ≥14 days post treatment, 13.9% (n = 5) were satisfied with their treatment (P < 0.001). Of the 75 respondents with the highest degree of skin clearance (≤2% of body surface area still affected), 65.3% (n = 49) were satisfied with their treatment. Among the 21 respondents with the lowest degree of skin clearance (>10% of body surface area still affected), 14.3% (n = 3) were satisfied with their treatment (P < 0.001). Safety was not evaluated, which may limit the findings in this analysis. In patients with moderate-to-severe AD, the majority of respondents experiencing the lowest levels of itch, the fastest onset of itch improvement and the highest degree of skin clearance also reported satisfaction with their current treatment. These findings underscore the stringent thresholds for both the degree and speed of symptom improvement required to achieve patient satisfaction. This highlights patients’ desire for treatments offering both rapid and extensive itch reduction and skin clearance and may help broaden physicians’ understanding of patient preferences and inform treatment decisions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».