Journal of Medical Economics · 2010 · 60 citations · 25 references
MedicineEndocrinologyPharmacologyBiopharmaceuticsCost-utility AnalysisHealth Technology AssessmentDiabetes ControlDiabetes ManagementDiabetes MellitusDiabetes PharmacotherapyGlycemic ControlIncretin-based TherapiesConjoint AnalysisDaily DosingEliciting Patient PreferencesGlucagon-like PeptidesHealth Utilities IndexHemoglobin A1c TestingRanking-based Conjoint AnalysisTreatment Trade-off Analysis
OBJECTIVE: To use time trade-off (TTO) to compare patient preferences for profiles of two glucagon-like peptide (GLP-1) products for the treatment of type 2 diabetes (liraglutide and exenatide) that vary on four key attributes - efficacy (as measured by hemoglobin A(1C)), incidence of nausea, incidence of hypoglycemia, and dosing frequency (QD vs. BID) - and measure the contribution of those attributes to preferences. METHODS: A total of 382 people with T2DM were recruited to participate in an internet-based survey consisting of a series of health-related questions, a conjoint exercise and a set of time trade-off items. In the conjoint exercise, respondents were presented with eight pairs of hypothetical GLP-1 profiles, and completed a time-tradeoff exercise for each pair. RESULTS: The product profile representing liraglutide was preferred by 96% of respondents and resulted in significantly higher health utilities (0.038) than the product profile representing exenatide (0.978 vs. 0.94, p < 0.05). Estimated preference scores from the conjoint analysis revealed that efficacy measured by hemoglobin A(1C) is the most important attribute, followed by nausea, hypoglycemia, and dosing schedule. LIMITATIONS: On-line participants may not represent 'typical' type 2 diabetes patients, and brief product profiles represented results from clinical trials, not clinical practice CONCLUSION: Based on the four attributes presented, patients prefer liraglutide over exenatide. Preference is based on superior efficacy and less nausea more than less hypoglycemia and once-daily dosing.
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