Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study

Despite the overwhelming interest in clinical genomics, uptake has been slow. Implementation science offers a systematic approach to reveal pathways to adoption and a theory informed approach to addressing barriers presented. Using case study methodology, we undertook 16 in-depth interviews with non...

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Main Authors: Stephanie Best, Janet C. Long, Clara Gaff, Jeffrey Braithwaite, Natalie Taylor
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/12/2/317
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spelling doaj-c00ceca0893643c79ca5553ced891f8f2021-02-24T00:06:11ZengMDPI AGGenes2073-44252021-02-011231731710.3390/genes12020317Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case StudyStephanie Best0Janet C. Long1Clara Gaff2Jeffrey Braithwaite3Natalie Taylor4Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2113, AustraliaAustralian Institute of Health Innovation, Macquarie University, Sydney, NSW 2113, AustraliaMelbourne Genomics Health Alliance, Walter and Eliza Hall Institute, Melbourne, VIC 3052, AustraliaAustralian Institute of Health Innovation, Macquarie University, Sydney, NSW 2113, AustraliaCancer Research Division, Cancer Council New South Wales, Sydney, NSW 2011, AustraliaDespite the overwhelming interest in clinical genomics, uptake has been slow. Implementation science offers a systematic approach to reveal pathways to adoption and a theory informed approach to addressing barriers presented. Using case study methodology, we undertook 16 in-depth interviews with nongenetic medical specialists to identify barriers and enablers to the uptake of clinical genomics. Data collection and analysis was guided by two evidence-based behaviour change models: the Theoretical Domains Framework (TDF), and the Capability, Opportunity Motivation Behaviour model (COM-B). Our findings revealed the use of implementation science not only provided a theoretical structure to frame the study but also facilitated uncovering of traditionally difficult to access responses from participants, e.g., “safety in feeling vulnerable” (TDF code emotion/COM-B code motivation). The most challenging phase for participants was ensuring appropriate patients were offered genomic testing. There were several consistent TDF codes: professional identity, social influences, and environmental context and resources and COM-B codes opportunity and motivation, with others varying along the patient journey. We conclude that implementation science methods can maximise the value created by the exploration of factors affecting the uptake of clinical genomics to ensure future interventions are designed to meet the needs of novice nongenetic medical specialists.https://www.mdpi.com/2073-4425/12/2/317clinical genomicsimplementation scienceTheoretical Domains FrameworkCOM.B
collection DOAJ
language English
format Article
sources DOAJ
author Stephanie Best
Janet C. Long
Clara Gaff
Jeffrey Braithwaite
Natalie Taylor
spellingShingle Stephanie Best
Janet C. Long
Clara Gaff
Jeffrey Braithwaite
Natalie Taylor
Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study
Genes
clinical genomics
implementation science
Theoretical Domains Framework
COM.B
author_facet Stephanie Best
Janet C. Long
Clara Gaff
Jeffrey Braithwaite
Natalie Taylor
author_sort Stephanie Best
title Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study
title_short Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study
title_full Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study
title_fullStr Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study
title_full_unstemmed Investigating the Adoption of Clinical Genomics in Australia. An Implementation Science Case Study
title_sort investigating the adoption of clinical genomics in australia. an implementation science case study
publisher MDPI AG
series Genes
issn 2073-4425
publishDate 2021-02-01
description Despite the overwhelming interest in clinical genomics, uptake has been slow. Implementation science offers a systematic approach to reveal pathways to adoption and a theory informed approach to addressing barriers presented. Using case study methodology, we undertook 16 in-depth interviews with nongenetic medical specialists to identify barriers and enablers to the uptake of clinical genomics. Data collection and analysis was guided by two evidence-based behaviour change models: the Theoretical Domains Framework (TDF), and the Capability, Opportunity Motivation Behaviour model (COM-B). Our findings revealed the use of implementation science not only provided a theoretical structure to frame the study but also facilitated uncovering of traditionally difficult to access responses from participants, e.g., “safety in feeling vulnerable” (TDF code emotion/COM-B code motivation). The most challenging phase for participants was ensuring appropriate patients were offered genomic testing. There were several consistent TDF codes: professional identity, social influences, and environmental context and resources and COM-B codes opportunity and motivation, with others varying along the patient journey. We conclude that implementation science methods can maximise the value created by the exploration of factors affecting the uptake of clinical genomics to ensure future interventions are designed to meet the needs of novice nongenetic medical specialists.
topic clinical genomics
implementation science
Theoretical Domains Framework
COM.B
url https://www.mdpi.com/2073-4425/12/2/317
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