Deriving health utility indices from a food allergy quality-of-life questionnaire

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dc.contributor.authorChen, Gang
dc.contributor.authorDunnGalvin, Audrey
dc.contributor.authorGreenhawt, Matthew
dc.contributor.authorShaker, Marcus
dc.contributor.authorCampbell, Dianne E.
dc.contributor.funderDBV Technologies, Franceen
dc.date.accessioned2022-09-20T13:54:08Z
dc.date.available2022-09-20T13:54:08Z
dc.date.issued2021-07-26
dc.date.updated2022-09-20T13:43:05Z
dc.description.abstractBackground: The Food Allergy Quality-of-Life Questionnaire-Parent Form (FAQLQ-PF) is widely used to assess food allergy-specific health-related quality of life (FAQL), but cannot be used directly in cost-utility analyses, which require health state utility (HSU) scores. Currently, limited evidence is available regarding the HSU of food-allergic children/adolescents. This study aimed to develop mapping algorithms from the FAQLQ-PF onto HSU scores generated by generic, preference-based, health-related quality-of-life (HRQL) instruments. Methods: Caregivers of children aged 7 to 17 years with a clinician diagnosis of IgE-mediated food allergy, recruited via Allergy & Anaphylaxis Australia, completed an online FAQLQ-PF questionnaire and proxy generic preference-based pediatric instruments (Assessment of Quality of Life [AQoL]-6D and Child Health Utility 9D [CHU9D]). Optimal statistical methods were based on series of goodness-of-fit statistics. Results Mean FAQLQ-PF total score, AQoL-6D, and CHU9D utility scores of 238 food-allergic children/adolescents were 3.49 (SD: 1.41), 0.78 (SD: 0.22), and 0.74 (SD: 0.22), respectively. The Spearman correlation coefficients of FAQLQ-PF with AQoL-6D and CHU9D were rho = -0.56 and rho = -0.45, respectively. Optimal mapping algorithms were generated from selected FAQLQ-PF items, mapped onto AQoL-6D or CHU9D utility scores, with AQoL-6D demonstrating better performance. Conclusions: This study generated mapping algorithms to help facilitate the use of FAQLQ-PF for cost-utility analyses, which are essential for health economic evaluation. External validation of the reported mapping algorithms is warranted.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationChen, G., DunnGalvin, A., Greenhawt, M., Shaker, M. and Campbell, D. E. (2021) 'Deriving health utility indices from a food allergy quality-of-life questionnaire', Pediatric Allergy and Immunology, 32(8), pp. 1773-1780. doi: 10.1111/pai.13604en
dc.identifier.doi10.1111/pai.13604en
dc.identifier.eissn1399-3038
dc.identifier.endpage1780en
dc.identifier.issn0905-6157
dc.identifier.issued8en
dc.identifier.journaltitlePediatric Allergy and Immunologyen
dc.identifier.startpage1773en
dc.identifier.urihttps://hdl.handle.net/10468/13621
dc.identifier.volume32en
dc.language.isoenen
dc.publisherJohn Wiley & Sons, Inc.en
dc.rights© 2021, the Authors. Pediatric Allergy and Immunology published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectFood allergyen
dc.subjectHealth state utilityen
dc.subjectMappingen
dc.subjectQuality of lifeen
dc.subjectQuality-adjusted life yearsen
dc.titleDeriving health utility indices from a food allergy quality-of-life questionnaireen
dc.typeArticle (peer-reviewed)en
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