Lilian Downie, Jade Caruana, Nathasha Kugenthiran, Anaita Kanga-Parabia, Erin Tutty, Yvonne Bombard, Marc Clausen, Sophie Bouffler, Clara Gaff, Alison D Archibald, Sebastian Lunke, Zornitza Stark
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引用次数: 0
Abstract
Digital platforms hold promise to scale implementation of population screening. We tailored the Genetics Adviser platform to provide education, decision support, consent, and result return in a genomic newborn screening (gNBS) study, BabyScreen + . Participants were surveyed and interviewed on the usability and value of Genetics Adviser. Genetics Adviser was used by 1048 participants and 1007 (96%) provided feedback. The majority (96%, n = 963) found the platform easy to navigate, with 85% (n = 851) spending <20 min online. Participants demonstrated excellent understanding, over 80% answering at least 6/8 knowledge questions correctly. Only 7% (12/173) of participant-initiated contacts with the study team were for genetic counselling. Interview participants valued the online process. We demonstrate the successful use of a digital platform for a genomic screening program. This model is streamlined, providing consistent, user-friendly education to support decision-making with minimal input from healthcare practitioners. Further evaluation in diverse populations will be essential for future use.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.