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The development and usability of 'The Genetics Navigator': a digital solution for adult and paediatric clinical genetics services.

Clinical genetic services address diverse genetic testing needs, but there is no comprehensive digital solution to meet this variety. We aimed to develop and test the usability of the Genetics Navigator (GN), a platform designed to enhance genetic services for paediatric and adult patients. The GN prototype was created with input from a patient and clinician advisory board, informed by prior research. Usability testing involved genetics patients (N = 14), parents of paediatric patients (N = 4), and the general public (N = 10). Participants provided feedback using the 'think aloud' method when using the platform. We used the System Usability Scale (SUS) for quantitative evaluation. Qualitative data were coded by platform section, item, and identified key areas for improvement. Building on the Genetics Adviser platform, we added video and written content for various genetic conditions and patient groups, including pre-test education, counselling, decision support, history collection, post-test result disclosure, and management. Key feedback during rounds of usability testing emphasized the need for a supportive design, seamless workflow, and engaging experience of the tool. The tool was modified to reflect the feedback, and the GN achieved an average SUS score of 87.7 ± 10.9 (N = 28), indicating above-average usability. Future research will evaluate its clinical and cost-effectiveness in a randomized trial.

Humans

Pilot Evaluation of a Digital Pretest Education Platform for Genomic Counseling: Perspectives of Health Care Providers and Patients.

Traditional in-person consultations for genetic services create access barriers. We hypothesized that the Genetics Adviser platform-a web-based digital platform delivering clinical genomic services-could reduce these barriers. Focusing on pretest education and counseling, we tested a pilot version of the platform in medical genetics and pediatric endocrinology group practices. The multimethod design consisted of quantitative patient and caregiver surveys, Google Analytics data, and qualitative healthcare provider interviews. Surveys included validated measures of acceptability and empowerment. Transcribed interviews were thematically coded and analyzed using NVivo. Of the 102 patients and caregivers targeted for this study, 85/102 (83%) accessed the platform, 71/102 (70%) proceeded beyond the landing page, and 60/102 (59%) completed the post-module survey. Users expressed high confidence in genetic understanding and empowerment (Genomics Outcome Scale [GOS]: 77/100), and providers noted potential benefits and highlighted technological and content-related limitations. Further research is needed to validate effectiveness across diverse populations and to evaluate long-term impacts on patient outcomes and healthcare efficiency.

Humans