ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020
How can Australia integrate routine genetic sequencing in oncology: a qualitative study through an implementation science lens.
Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Cancer Biomarker Test Utilization and Reimbursement in Australia: A National Analysis of Medicare Data.Clinical and translational science · 2026Article
- Article
- Becoming agents for genomic change: genetic counsellors' views of patient care and implementation influences when genomics is mainstreamed.European journal of human genetics : EJHG · 2024Article
- MAGENTA: a Multinational patient survey assessing the Awareness, perceptions and unmet needs in GENetic Testing and counselling among patients with breAst cancer.Frontiers in oncology · 2024Article
- Consumer-oriented (patient and family) outcomes from nursing in genomics: a scoping review of the literature (2012-2022).Frontiers in genetics · 2024Article
- A mainstreaming oncogenomics model: improving the identification of Lynch syndrome.Frontiers in oncology · 2023Article
- Precision medicine in Australia: now is the time to get it right.The Medical journal of Australia · 2022Article
- Postgraduate training in Cancer Genetics-a cross-specialty survey exploring experience of clinicians in Ireland.Irish journal of medical science · 2022Article
- Stakeholders' views of integrating universal tumour screening and genetic testing for colorectal and endometrial cancer into routine oncology.European journal of human genetics : EJHG · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study sought to determine genetics and oncology specialists' views of integrating BRCA1 and BRCA2 testing in epithelial ovarian and breast cancer into routine practice.
methodsQualitative interviews were designed using the Consolidated Framework for Implementation Research. Questions included experiences or views of the BRCA testing processes, implementation needs of oncology health professionals, perceived challenges, and future ideas for interventions to integrate genetic testing into oncology.
resultsTwenty-two participants were interviewed from twelve health organizations and four themes were identified: (1) embracing the shift to mainstream genetic testing, with the majority of participants viewing BRCA testing as clinically useful and routine use important for maintaining a patient centered process; (2) the need for communication networks and role delineation to integrate routine genetic testing; (3) factors that influence sustaining routine genetic testing, including ongoing training, resources and funding, real-world adaptation, system complexity, and champions; and (4) variation in system interventions for integrating routine genetic testing align to organizational context.
conclusionFindings illustrate the need for integrating genetic testing into routine oncology, and that adaptation of interventions and processes is essential to sustain a feasible model. An understanding of individual and organizational implementation factors will help to prepare for future integration of routine genetic testing in other cancers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.