Implementation Science to Increase Adoption of Genomic Medicine: An Urgent Need

Bangash, Hana; Kullo, Iftikhar J.

doi:10.3390/jpm11010019

Cited by 9 publications

(7 citation statements)

References 17 publications

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“…Therefore, our method has a comparative advantage over other qualitative methods currently used that fail to recognise the importance of context and not generating findings quickly and effectively. In addition, researchers should move towards determinant frameworks (barriers and/enablers) in precision medicine (Bangash & Kullo, 2020; Roberts et al, 2017) and speed up qualitative research quickly and effectively (Gale et al, 2019; Smith et al, 2020b, 2021b) to meet demands within high stake contexts (Smith et al, 2020b). To our knowledge, our study is the first of its kind to use a determinant framework (CFIR) (Damschroder et al, 2009) together with Sentiment Analysis (Pang & Lee, 2008; Pinto et al, 2018) to speedily determine barriers and enablers of a precision medicine intervention.…”

Section: Discussionmentioning

confidence: 99%

Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine

Smith

Braithwaite

O’Brien

et al. 2022

International Journal of Qualitative Methods

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Our implementation science study focuses on implementing a new way of practice and offers methodological specificity about how to rapidly investigate an individually tailored precision medicine intervention. A qualitative study advancing a new methodology for speedily identifying barriers and enablers to implementation in the context of childhood cancer. Data were collected through rapid ethnography, coded using the Consolidated Framework for Implementation Research, and analysed by Sentiment Analysis. Thirty-eight data collection events occurred during 14 multidisciplinary tumour board meetings, 14 curation meetings, and 10 informal conversations. Sentiment Analysis distilled Consolidated Framework for Implementation Research codes to reveal key barriers and enablers to implementation. A traffic light labelling system has been used to present levels of positivity and negativity (green for strong enablers and red for strong barriers), highlighting levels of concern regarding implementation. Within the intervention design characteristics, “Adaptability” was the strongest enabler and “Design quality and safety” the strongest barrier. Among the contextual factors: “Networks and communication” were the strongest enabler, and “Available resources” were the strongest barrier. Overall, there was a higher percentage of negative sentiment towards intervention design characteristics and contextual factors than positive sentiment, while more concerns were raised about intervention design factors than contextual factors. This study offers a rapid qualitative data collection and analytic methodological roadmap for establishing barriers and enablers to a paediatric precision medicine intervention.

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Section: Discussionmentioning

confidence: 99%

Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine

Smith

Braithwaite

O’Brien

et al. 2022

International Journal of Qualitative Methods

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“…DNA-based population screening is increasingly viewed through the lens of implementation science methods and frameworks ( Bangash and Kullo, 2020 ). Use of rigorous methods to mitigate barriers to equitable uptake, evaluation of the impact on providers and health systems, and aggregation and sharing of patient health outcome data are increasingly relied upon to support the translation of effective DNA-based screening practices into routine clinical care to improve public health.…”

Section: Utilizing Implementation Science Frameworkmentioning

confidence: 99%

Editorial: DNA-based population screening for precision public health

Milko

Khoury

2022

Front. Genet.

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“…While healthcare providers broadly support the adoption of genomic medicine, they are limited in their ability to do so due to the lack of genomics education and training, healthcare fragmentation and the scarcity of digital tools for genomics integrated with electronic health records (EHR). Moreover, there remains a lack of research focusing on macro-level factors such as health systems, health policies, financing, and generalisability of genomics programmes [5]. In order to identify and overcome the barriers to the adoption of genomics and ensure its effective and timely translation into clinical settings, implementation frameworks and outcome measures should be applied from the initial research stages through to the development and integration of genomic medicine.…”

Section: Introductionmentioning

confidence: 99%

“…In order to identify and overcome the barriers to the adoption of genomics and ensure its effective and timely translation into clinical settings, implementation frameworks and outcome measures should be applied from the initial research stages through to the development and integration of genomic medicine. Once genomics programmes are integrated into healthcare settings, they should continue to be evaluated and adapted and adjusted as necessary to ensure sustainable implementation [5].…”

Section: Introductionmentioning

confidence: 99%

The implementation of large-scale genomic screening or diagnostic programmes: A rapid evidence review

et al. 2022

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Genomic healthcare programmes, both in a research and clinical context, have demonstrated a pivotal opportunity to prevent, diagnose, and treat rare diseases. However, implementation factors could increase overall costs and affect uptake. As well, uncertainties remain regarding effective training, guidelines and legislation. The purpose of this rapid evidence review was to draw together the available global evidence on the implementation of genomic testing programmes, particularly on population-based screening and diagnostic programmes implemented at the national level, to understand the range of factors influencing implementation. This review involved a search of terms related to genomics, implementation and health care. The search was limited to peer-reviewed articles published between 2017–2022 and found in five databases. The review included thirty articles drawing on sixteen countries. A wide range of factors was cited as critical to the successful implementation of genomics programmes. These included having policy frameworks, regulations, guidelines; clinical decision support tools; access to genetic counselling; and education and training for healthcare staff. The high costs of implementing and integrating genomics into healthcare were also often barriers to stakeholders. National genomics programmes are complex and require the generation of evidence and addressing implementation challenges. The findings from this review highlight that there is a strong emphasis on addressing genomic education and engagement among varied stakeholders, including the general public, policymakers, and governments. Articles also emphasised the development of appropriate policies and regulatory frameworks to govern genomic healthcare, with a focus on legislation that regulates the collection, storage, and sharing of personal genomic data.

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Implementation Science to Increase Adoption of Genomic Medicine: An Urgent Need

Abstract: Advances in genomics have the potential to improve human health [...]

Cited by 9 publications

References 17 publications

Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine

Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine

Editorial: DNA-based population screening for precision public health

The implementation of large-scale genomic screening or diagnostic programmes: A rapid evidence review

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