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Theory Designed Strategies to Support Implementation of Genomics in Nephrology

(1) Background: Genomic testing is increasingly utilized as a clinical tool; however, its integration into nephrology remains limited. The purpose of this study was to identify barriers and prioritize interventions for the widespread implementation of genomics in nephrology. (2) Methods: Qualitative...

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Autores principales: Kansal, Arushi, Quinlan, Catherine, Stark, Zornitza, Kerr, Peter G., Mallett, Andrew J., Lakshmanan, Chandni, Best, Stephanie, Jayasinghe, Kushani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601730/
https://www.ncbi.nlm.nih.gov/pubmed/36292804
http://dx.doi.org/10.3390/genes13101919
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author Kansal, Arushi
Quinlan, Catherine
Stark, Zornitza
Kerr, Peter G.
Mallett, Andrew J.
Lakshmanan, Chandni
Best, Stephanie
Jayasinghe, Kushani
author_facet Kansal, Arushi
Quinlan, Catherine
Stark, Zornitza
Kerr, Peter G.
Mallett, Andrew J.
Lakshmanan, Chandni
Best, Stephanie
Jayasinghe, Kushani
author_sort Kansal, Arushi
collection PubMed
description (1) Background: Genomic testing is increasingly utilized as a clinical tool; however, its integration into nephrology remains limited. The purpose of this study was to identify barriers and prioritize interventions for the widespread implementation of genomics in nephrology. (2) Methods: Qualitative, semi-structured interviews were conducted with 25 Australian adult nephrologists to determine their perspectives on interventions and models of care to support implementation of genomics in nephrology. Interviews were guided by a validated theoretical framework for the implementation of genomic medicine—the Consolidated Framework of Implementation Research (CFIR). (3) Results: Nephrologists were from 18 hospitals, with 7 having a dedicated multidisciplinary kidney genetics service. Most practiced in the public healthcare system (n = 24), a large number were early-career (n = 13), and few had genomics experience (n = 4). The top three preferred interventions were increased funding, access to genomics champions, and education and training. Where interventions to barriers were not reported, we used the CFIR/Expert Recommendations for Implementing Change matching tool to generate theory-informed approaches. The preferred model of service delivery was a multidisciplinary kidney genetics clinic. (4) Conclusions: This study identified surmountable barriers and practical interventions for the implementation of genomics in nephrology, with multidisciplinary kidney genetics clinics identified as the preferred model of care. The integration of genomics education into nephrology training, secure funding for testing, and counselling along with the identification of genomics champions should be pursued by health services more broadly.
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spelling pubmed-96017302022-10-27 Theory Designed Strategies to Support Implementation of Genomics in Nephrology Kansal, Arushi Quinlan, Catherine Stark, Zornitza Kerr, Peter G. Mallett, Andrew J. Lakshmanan, Chandni Best, Stephanie Jayasinghe, Kushani Genes (Basel) Article (1) Background: Genomic testing is increasingly utilized as a clinical tool; however, its integration into nephrology remains limited. The purpose of this study was to identify barriers and prioritize interventions for the widespread implementation of genomics in nephrology. (2) Methods: Qualitative, semi-structured interviews were conducted with 25 Australian adult nephrologists to determine their perspectives on interventions and models of care to support implementation of genomics in nephrology. Interviews were guided by a validated theoretical framework for the implementation of genomic medicine—the Consolidated Framework of Implementation Research (CFIR). (3) Results: Nephrologists were from 18 hospitals, with 7 having a dedicated multidisciplinary kidney genetics service. Most practiced in the public healthcare system (n = 24), a large number were early-career (n = 13), and few had genomics experience (n = 4). The top three preferred interventions were increased funding, access to genomics champions, and education and training. Where interventions to barriers were not reported, we used the CFIR/Expert Recommendations for Implementing Change matching tool to generate theory-informed approaches. The preferred model of service delivery was a multidisciplinary kidney genetics clinic. (4) Conclusions: This study identified surmountable barriers and practical interventions for the implementation of genomics in nephrology, with multidisciplinary kidney genetics clinics identified as the preferred model of care. The integration of genomics education into nephrology training, secure funding for testing, and counselling along with the identification of genomics champions should be pursued by health services more broadly. MDPI 2022-10-21 /pmc/articles/PMC9601730/ /pubmed/36292804 http://dx.doi.org/10.3390/genes13101919 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kansal, Arushi
Quinlan, Catherine
Stark, Zornitza
Kerr, Peter G.
Mallett, Andrew J.
Lakshmanan, Chandni
Best, Stephanie
Jayasinghe, Kushani
Theory Designed Strategies to Support Implementation of Genomics in Nephrology
title Theory Designed Strategies to Support Implementation of Genomics in Nephrology
title_full Theory Designed Strategies to Support Implementation of Genomics in Nephrology
title_fullStr Theory Designed Strategies to Support Implementation of Genomics in Nephrology
title_full_unstemmed Theory Designed Strategies to Support Implementation of Genomics in Nephrology
title_short Theory Designed Strategies to Support Implementation of Genomics in Nephrology
title_sort theory designed strategies to support implementation of genomics in nephrology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601730/
https://www.ncbi.nlm.nih.gov/pubmed/36292804
http://dx.doi.org/10.3390/genes13101919
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