Preferences for antiviral therapy of chronic hepatitis C: a discrete choice experiment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-03

AUTHORS

Axel C. Mühlbacher, John F. P. Bridges, Susanne Bethge, Ch.-Markos Dintsios, Anja Schwalm, Andreas Gerber-Grote, Matthias Nübling

ABSTRACT

BACKGROUND: The German Institute for Quality and Efficiency in Health Care (IQWiG) uses patient-relevant outcomes to inform decision-makers. OBJECTIVE: IQWiG conducted a pilot study to examine whether discrete choice experiments (DCEs) can be applied in health economic evaluations in Germany to identify, weight, and prioritize multiple patient-relevant outcomes, using the example of antiviral therapy for chronic hepatitis C (HCV). A further objective was to contribute to a more structured approach towards eliciting and comparing preferences across key stakeholders. METHODS: In autumn 2010, a DCE questionnaire was sent to patients with chronic HCV to estimate preferences across seven outcomes ("attributes"), including treatment efficacy [sustained viral response (SVR) at 6 months], adverse effects (flu-like symptoms, gastrointestinal symptoms, psychiatric symptoms, and skin symptoms/alopecia), and measures of treatment burden (duration of therapy, frequency of injections). A linear model and an effects coded full model were applied to assess the relative importance of the attributes. RESULTS: In total N = 326 patients were included. A clear preference for SVR was shown; frequency of injections and duration of therapy shared the second rank, while psychiatric symptoms ranked third. The duration of flu-like symptoms was the least important attribute. CONCLUSION: Our findings indicate that it is possible to perform a DCE at the national level in a health technology assessment agency. The weighting of multiple outcomes allows an indication-specific and evidence-based measure to be used in health economic evaluations. In decision-making in health care, the approach generally allows for consideration of patient-relevant trade-offs regarding the benefits and harms of medical interventions. More... »

PAGES

155-165

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10198-016-0763-8

    DOI

    http://dx.doi.org/10.1007/s10198-016-0763-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045645389

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26846922


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