Access to biologicals in Crohn’s disease in ten European countries
Notice bibliographique
Résumé
AIM: To analyze access (availability, affordability and acceptability) to biologicals for Crohn's disease (CD) in ten European countries and to explore the associations between these dimensions, the uptake of biologicals and economic development. METHODS: A questionnaire-based survey combined with desk research was carried out in May 2016. Gastroenterologists from the Czech Republic, France, Germany, Hungary, Latvia, Poland, Romania, Slovakia, Spain and Sweden were invited to participate and provide data on the availability of biologicals/biosimilars, reimbursement criteria, clinical practice and prices, and use of biologicals. An availability score was developed to evaluate the restrictiveness of eligibility and administrative criteria applied in the countries. Affordability was defined as the annual cost of treatment as a share of gross domestic product (GDP) per capita. Correlations with the uptake of biologicals, dimensions of access and GDP per capita were calculated. RESULTS: At the time of the survey, infliximab and adalimumab were reimbursed in all ten countries, and vedolizumab was reimbursed in five countries (France, Germany, Latvia, Slovakia, Sweden). Reimbursement criteria were the least strict in Sweden and Germany, and the strictest in Hungary, Poland and Slovakia. Between countries, the annual cost of different biological treatments differed 1.6-3.3-fold. Treatments were the most affordable in Sweden (13%-37% of the GDP per capita) and the least affordable in the Central and Eastern European countries, especially in Hungary (87%-124%) and Romania (141%-277%). Biosimilars made treatments more affordable by driving down the annual costs. The number of patients with CD on biologicals per 100000 population was strongly correlated with GDP per capita (0.91), although substantial differences were found in the uptake among countries with similar economic development. Correlation between the number of patients with CD on biologicals per 100000 population and the availability and affordability was also strong (-0.75, -0.69 respectively). CONCLUSION: Substantial inequalities in access to biologicals were largely associated with GDP. To explain differences in access among countries with similar development needs further research on acceptance.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».