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Deriving Health Utilities from the Food Allergy Quality of Life Questionnaire - Parent Form (FAQLQ-PF) Using Mapping
Adam B Smith1, Tom Bromilow1, Stuart Mealing1
1York Health Economics Consortium, York, UK.
Purpose:
Health-related quality of life (HRQoL) measures in the form of health utilities are valuable for economic evaluations of the effectiveness of food allergy interventions. However, traditional HRQoL instruments lack the sensitivity to generate health utilities that capture the impact that food allergies, such as peanut allergies, may have on children's mental health and daily activities. This study used mapping and discrete choice experiment (DCE) methods to generate health utilities from the Food Allergy Quality of life Questionnaire-Parent Form (FAQLQ-PF), which were then applied to clinical trial data.
Patients And Methods:
Health utilities (HU) were generated using two methods: mapping and DCE. Parents of children with peanut allergies (N=159) completed the FAQLQ-PF and EQ-5D-Y-Proxy-1 questionnaires. Mapping algorithms were developed once the FAQLQ-PF responses were mapped onto the EQ-5D-3L utilities. A composite DCE with time trade-off and a vignette was conducted among parents without peanut allergic children (N=767). The utilities derived from the mapping and DCE methods were applied to clinical trial data (PEPITES and PEOPLE) for an epicutaneous peanut patch (DBV712).
Results:
The mapping algorithm showed an association of 0.199 between FAQLQ-PF and EQ-5D-3L utilities. The DCE disutilities were highest for severe food-related anxiety, emotional distress, and social limitations. Once applied to the clinical trial data, the HU derived from the mapping algorithm demonstrated statistically significant HRQoL improvements for the intervention group at 36 months. Using the DCE-derived utilities, statistically significant HRQoL improvements for the intervention group were demonstrated at both 24- and 36-months. The effect size analysis demonstrated that the DCE-derived utilities were more responsive than mapped utilities.
Conclusion:
DCE-derived utilities demonstrated greater responsiveness to changes in HRQoL compared with mapped utilities, suggesting their potential use in economic evaluations and HTA submissions for peanut allergy interventions. The DCE-derived health utilities showed greater sensitivity to changes in HRQoL. These utilities can be used in health technology assessments to better capture the impact of peanut allergy treatments on children's quality of life.
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