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Preferences for preventive treatments for rheumatoid arthritis: discrete choice survey in the UK, Germany and Romania

OBJECTIVE: To quantify preferences for preventive therapies for rheumatoid arthritis (RA) across three countries. METHODS: A web-based survey including a discrete choice experiment was administered to adults recruited via survey panels in the UK, Germany and Romania. Participants were asked to assum...

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Detalles Bibliográficos
Autores principales: Simons, Gwenda, Veldwijk, Jorien, DiSantostefano, Rachael L, Englbrecht, Matthias, Radawski, Christine, Bywall, Karin Schölin, Valor Méndez, Larissa, Hauber, Brett, Raza, Karim, Falahee, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891433/
https://www.ncbi.nlm.nih.gov/pubmed/36068022
http://dx.doi.org/10.1093/rheumatology/keac397
Descripción
Sumario:OBJECTIVE: To quantify preferences for preventive therapies for rheumatoid arthritis (RA) across three countries. METHODS: A web-based survey including a discrete choice experiment was administered to adults recruited via survey panels in the UK, Germany and Romania. Participants were asked to assume they were experiencing arthralgia and had a 60% chance of developing RA in the next 2 years and completed 15 choices between no treatment and two hypothetical preventive treatments. Treatments were defined by six attributes (effectiveness, risks and frequency/route of administration) with varying levels. Participants also completed a choice task with fixed profiles reflecting subjective estimates of candidate preventive treatments. Latent class models (LCMs) were conducted and the relative importance of attributes, benefit–risk trade-offs and predicted treatment uptake was subsequently calculated. RESULTS: Completed surveys from 2959 participants were included in the analysis. Most participants preferred treatment over no treatment and valued treatment effectiveness to reduce risk more than other attributes. A five-class LCM best fitted the data. Country, perceived risk of RA, health literacy and numeracy predicted class membership probability. Overall, the maximum acceptable risk for a 40% reduction in the chance of getting RA (60% to 20%) was 21.7%, 19.1% and 2.2% for mild side effects, serious infection and serious side effects, respectively. Predicted uptake of profiles reflecting candidate prevention therapies differed across classes. CONCLUSION: Effective preventive pharmacological treatments for RA were acceptable to most participants. The relative importance of treatment attributes and likely uptake of fixed treatment profiles were predicted by participant characteristics.