O01 The UK–Irish Atopic Eczema Systemic Therapy Register (A-STAR): a pilot descriptive analysis of healthcare resource use, costs and health-related quality of life in patients on systemic treatments for atopic eczema
Notice bibliographique
Résumé
Abstract Clinical management of moderate-to-severe atopic eczema (AE) is complex, involving the use of several therapies. Some novel systemic immunomodulatory medications are effective but costly, while conventional systemic therapies have lower costs but require frequent monitoring due to their safety profiles. Novel systemic therapies for AE have been assessed in randomized controlled trials, but their evidence is incomplete to inform real-world practice and value-for-money considerations. The UK–Irish Atopic Eczema Systemic Therapy Register (A-STAR) was established to address the need for real-world evidence and to capture comprehensive health economics data surrounding the use of systemic therapies to manage moderate-to-severe AE. The aim of the current study was to describe healthcare resource utilization and patient-reported health-related quality of life (HRQoL) in a cohort of patients from A-STAR during a 1-year follow-up period and to evaluate the quality of the data collected in a real-world setting. The A-STAR register is a multicentre prospective register recruiting paediatric (< 16 years old) and adult (≥ 16 years old) patients with AE initiating or switching to systemic immunomodulatory therapy. Healthcare resource utilization data including general practitioner (GP) visits, accident and emergency attendance, hospitalizations, specialist consultations and systemic therapy were collected and valuated using national average unit costs. EuroQol-5D was used to measure HRQoL. In total 120 A-STAR participants (92 adults and 28 children) with at least 1 year of follow-up were included in this pilot study. Adults showed higher healthcare utilization than children. For adults, the mean costs per visit included accident and emergency attendance (£120.41), GP appointments (£111.15) and outpatient specialist visits (£205.17). Children had lower healthcare utilization and costs per visit: accident and emergency attendance (£84.29), GP appointments (£78.46) and outpatient specialist visits (£121.00). All participants required outpatient dermatology visits, with a mean cost of £551 for adults and £777 for children. Both groups received systemic therapy, and adults incurred higher costs (mean £25 523, SD £24 424) than children (mean £20 242, SD £18 994). The average EuroQol-5D scores improved in both groups from baseline to 1 year, from 0.61 (SD 0.31) to 0.77 (SD 0.24) in adults, and from 0.48 (SD 0.37) to 0.75 (SD 0.27) in children. In this pilot descriptive analysis, patients with AE receiving systemic treatment were found to accrue substantial healthcare resource use and tended to have an improvement in their HRQoL within the observed period. Registers like A-STAR hold promise in health research, aiding policymakers in formulating treatment pathways for patients and optimizing sparse data to enhance overall outcomes. These insights are crucial for shaping future register data collection efforts and advancing healthcare decision making, including by the UK National Institute for Clinical and Care Excellence.
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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».