Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases

Christine Peyron (), Aurore Pélissier () and Sophie Béjean ()
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Christine Peyron: LEDi - Laboratoire d'Economie de Dijon [Dijon] - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE]
Aurore Pélissier: LEDi - Laboratoire d'Economie de Dijon [Dijon] - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE]
Sophie Béjean: LEDi - Laboratoire d'Economie de Dijon [Dijon] - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE]

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Abstract: The information to which whole genome sequencing (WGS) provides access raises questions about its disclosure to patients. The literature focused on the nature of findings, shows patients share the same expectations while evoking possible heterogeneity. Our objective is to test this hypothesis of preference heterogeneity with respect to the disclosure of results from WGS by means of a discrete choice experiment (DCE). Our DCE includes six attributes for studying preferences with respect to (1) variants of unknown significance and (2) secondary findings, and more innovatively with respect to (3) repeat analysis of the tests, (4) the decision-making process, (5) patient support and (6) the cost of testing. The survey was conducted at two genetic centres in France from February to December 2015 and included 528 parents of patients with development disorders with no aetiological diagnosis. By using a latent class model, it was possible to identify two preference profiles with parents opting for either a prospective (75% of sample) or a targeted (25%) diagnostic approach. The former valued the exhaustive and diverse genetic information the test can provide, even when the information is uncertain or not directly related to their child's illness; the latter valued only the least uncertain information relating to their child's illness. Understanding patients' preference patterns can help professionals to better accommodate and support patients and enables policy-makers to measure the diversity of expectations in the face of current developments in genomic medicine.

Keywords: France; Stated preferences; Discrete choice experiment; Latent class analysis; Whole genome sequencing; Genetic testing (search for similar items in EconPapers)
Date: 2018-10
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Published in Social Science & Medicine, 2018, 214, pp.125-132. ⟨10.1016/j.socscimed.2018.08.015⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04586221

DOI: 10.1016/j.socscimed.2018.08.015

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