Davison, Niall, Payne, Katherine, Eden, Martin, McAllister, Marion, Roberts, Stephen A., Ingram, Stuart, Black, Graeme C.M. and Hall, Georgina 2017. Exploring the feasibility of delivering standardized genomic care using ophthalmology as an example. Genetics in Medicine 19 (9) , pp. 1032-1039. 10.1038/gim.2017.9 |
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Abstract
Purpose: Broadening access to genomic testing and counseling will be necessary to realize the benefits of personalized health care. This study aimed to assess the feasibility of delivering a standardized genomic care model for inherited retinal dystrophy (IRD) and of using selected measures to quantify its impact on patients. Methods: A pre-/post- prospective cohort study recruited 98 patients affected by IRD to receive standardized multidisciplinary care. A checklist was used to assess the fidelity of the care process. Three patient-reported outcome measures—the Genetic Counselling Outcome Scale (GCOS-24), the ICEpop CAPability measure for Adults (ICECAP-A), and the EuroQol 5-dimension questionnaire (EQ-5D)—and a resource-use questionnaire were administered to investigate rates of missingness, ceiling effects, and changes over time. Results: The care model was delivered consistently. Higher rates of missingness were found for the genetic-specific measure (GCOS-24). Considerable ceiling effects were observed for the generic measure (EQ-5D). The ICECAP-A yielded less missing data without significant ceiling effects. It was feasible to use telephone interviews for follow-up data collection. Conclusion: The study highlighted challenges and solutions associated with efforts to standardize genomic care for IRD. The study identified appropriate methods for a future definitive study to assess the clinical effectiveness and cost-effectiveness of the care model.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Medicine |
Publisher: | Nature Publishing Group |
ISSN: | 1098-3600 |
Date of First Compliant Deposit: | 16 February 2018 |
Date of Acceptance: | 13 January 2017 |
Last Modified: | 17 Nov 2024 06:30 |
URI: | https://orca.cardiff.ac.uk/id/eprint/109190 |
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