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Jha V, Saeedi S, Clausen M, Assamad D, Grewal S, Hirjikaka D, Lee W, Luca S, Shaw A, Hayeems R, Bombard Y. What are patient perspectives on privacy and trust in digital genomic tools? A qualitative study. J Genet Couns 2025; 34:e70025. [PMID: 40305239 DOI: 10.1002/jgc4.70025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 02/13/2025] [Accepted: 02/14/2025] [Indexed: 05/02/2025]
Abstract
Digital tools have emerged as a promising solution to increase the efficiency and capacity of genomic services. However, accessing information through internet-based applications raises concerns about privacy and security risks. As patient-facing digital tools are developed for genomic medicine, it is vital to understand and incorporate patients' perspectives on digital privacy and security. A qualitative study was conducted using semi-structured interviews and interpretive description. Thirty participants who previously received genetic testing for themselves (n = 17) or their child (n = 13) were interviewed (n = 20 females, n = 15 above 50 years old). Participants were willing to store and access genomics personal health information (PHI) in a patient-facing digital platform. The main benefit identified by participants was the ability to access and control their own PHI. Participants expressed that the benefits of digital genomics services, such as patient empowerment and personalized care, outweighed the perceived risks, such as potential data leaks. In order to minimize risks, participants emphasized the importance of transparency about the security measures in place and who would have access to their PHI. These findings inform the design of digital genomic platforms to enhance patients' sense of security, which is critical for the uptake and usage of any platform.
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Affiliation(s)
- Vedika Jha
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Saumeh Saeedi
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Marc Clausen
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Daniel Assamad
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sonya Grewal
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Daena Hirjikaka
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Whiwon Lee
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Stephanie Luca
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Angela Shaw
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Robin Hayeems
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
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2
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van Lingen MN, Giesbertz NAA, Jongsma KR. Digital technologies in genetic counseling: Recommendations for a morally sound integration. Genet Med 2025; 27:101370. [PMID: 39891529 DOI: 10.1016/j.gim.2025.101370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Revised: 01/21/2025] [Accepted: 01/23/2025] [Indexed: 02/03/2025] Open
Abstract
To address the increasing demand for clinical genetic counseling, digital technologies are currently being developed to increase efficiency and overcome logistical and societal barriers in genetic health care. However, it is not self-evident that genetic technologies will improve the quality of and access to genetic counseling. Moreover, several ethical questions about the appropriate tasks of digital technologies in the genetic care process have been raised, particularly when personal contact is supplemented or even replaced with digital technologies. Ethical reflections on the introduction of digital resources in genetic counseling are scarce. Here, we reflect on 3 central domains in which promises of the digitalization of genetic counseling are generally discussed: (1) promoting patient autonomy and patient-centered care, (2) increasing efficiency, and (3) increasing accessibility. We argue that the benefits of digitalization are not self-evident and are paired with challenges. We conclude by offering 4 recommendations to promote the ethically sound development of digital technologies in genetic health care: (1) specify the intended tasks and expected benefits of the digital technology, (2) identify potential challenges of digitalization, (3) consider the role of end users within the genetic care process, and (4) ensure iterative stakeholder consultation and engagement.
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Affiliation(s)
| | - Noor A A Giesbertz
- Antoni van Leeuwenhoek Netherlands Cancer Institute, Clinical Genetics department, The Netherlands
| | - Karin R Jongsma
- Universitair Medisch Centrum Utrecht, Bioethics and Health Humanities, The Netherlands
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3
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Zhao J, Yang W, Cai H, Cao G, Li Z. Current Progress and Future Trends of Genomics-Based Techniques for Food Adulteration Identification. Foods 2025; 14:1116. [PMID: 40238250 PMCID: PMC11989147 DOI: 10.3390/foods14071116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2025] [Revised: 03/17/2025] [Accepted: 03/20/2025] [Indexed: 04/18/2025] Open
Abstract
Addressing the pervasive issue of food adulteration and fraud driven by economic interests has long presented a complex challenge. Such adulteration not only compromises the safety of the food supply chain and destabilizes the market economy but also poses significant risks to public health. Food adulteration encompasses practices such as substitution, process manipulation, mislabeling, the introduction of undeclared ingredients, and the adulteration of genetically modified foods. Given the diverse range of deceptive methods employed, genomics-based identification techniques have increasingly been utilized for detecting food adulteration. Compared to traditional detection methods, technologies such as polymerase chain reaction (PCR), next-generation sequencing (NGS), high-resolution melt (HRM) analysis, DNA barcoding, and the CRISPR-Cas system have demonstrated efficacy in accurately and sensitively detecting even trace amounts of adulterants. This paper provides an overview of genomics-based approaches for identifying food adulteration, summarizes the latest applications in certification procedures, discusses current limitations, and explores potential future trends, thereby offering new insights to enhance the control of food quality and contributing to the development of more robust regulatory frameworks and food safety policies.
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Affiliation(s)
- Jing Zhao
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Wei Yang
- Guangdong Provincial Key Laboratory of Aquatic Products Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Hongli Cai
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Guangtian Cao
- College of Standardisation, China Jiliang Universtiy, Hangzhou 310058, China
| | - Zhanming Li
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
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Beinema TC, van Lingen MN, van den Heuvel LM, Siemelink MA, Kolkmeier J, Klaassen R, Ploem C, Cornel MC, Giesbertz NAA, van Essen D, Heylen DKJ, van Tintelen JP. DNA-poli: Design and development of a digital platform for family communication support and predictive genetic counseling on inherited diseases. PATIENT EDUCATION AND COUNSELING 2025; 136:108746. [PMID: 40112579 DOI: 10.1016/j.pec.2025.108746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2024] [Revised: 02/28/2025] [Accepted: 03/06/2025] [Indexed: 03/22/2025]
Abstract
OBJECTIVES By developing a digital platform ("DNA-poli") we aim to improve the uptake and efficiency of predictive genetic counseling and cascade testing for relatives at-risk of inherited conditions. This is crucial for reducing disease morbidity and mortality while meeting the growing demand for genetic counseling. We outline the design, development, and final concept and prototype of DNA-poli and discuss the challenges faced and how these were addressed. METHODS We followed an approach based on the Design Thinking and Human-Centered Design methods, which entails four stages: 1) Discover/Define, 2) Design, 3) Develop, and 4) Deliver. Stakeholders were actively involved through interviews, focus groups, and sounding board consultations. Two inherited cardiac conditions (hypertrophic cardiomyopathy and dilated cardiomyopathy) served as the first use case. RESULTS The DNA-poli prototype is a digital outpatient clinic for predictive counseling on inherited conditions and cascade testing. It facilitates both pre-test and post-test genetic counseling, including information provision on specific conditions and tests, decision support, collecting medical information from a counselee, and return of results. ARRs can process relevant information online at their convenience and can request genetic tests locally after a short teleconsultation with a healthcare professional. A conversational agent is incorporated to answer questions and collect patient characteristics. CONCLUSIONS DNA-poli is the first digital cardiogenetics platform to encompass the full genetic care pathway for family communication and predictive genetic counseling. Development challenges related to logistical implementation, ethical and legal considerations, and ensuring quality of care standards. PRACTICE IMPLICATIONS DNA-poli allows timely, efficient, and flexible access to predictive counseling, supporting probands with informing their ARRs. ARRs have access to personalized information and modules to support decision-making at their convenience.
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Affiliation(s)
- Tessa C Beinema
- Department of Human-Media Interaction, University of Twente, Drienerlolaan 5, Enschede 7522 NB, the Netherlands
| | - Marlies N van Lingen
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, the Netherlands.
| | - Lieke M van den Heuvel
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, the Netherlands; Netherlands Heart Institute, Moreelsepark 1, Utrecht 3511 EP, the Netherlands
| | - Marten A Siemelink
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, the Netherlands
| | - Jan Kolkmeier
- Department of Human-Media Interaction, University of Twente, Drienerlolaan 5, Enschede 7522 NB, the Netherlands
| | - Randy Klaassen
- Department of Human-Media Interaction, University of Twente, Drienerlolaan 5, Enschede 7522 NB, the Netherlands
| | - Corrette Ploem
- Law Centre for Health and Life, University of Amsterdam, Nieuwe Achtergracht 166, Amsterdam 1018 WV, the Netherlands; Department of Ethics, Law & Humanities, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
| | - Martina C Cornel
- Department of Human Genetics, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, the Netherlands; Public Health Research Institute, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Reproduction and Development Research Institute, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
| | - Noor A A Giesbertz
- Department of Clinical Genetics, Antoni van Leeuwenhoek Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066 CX, the Netherlands
| | - Dianne van Essen
- KAESS Design Agency, Jaap Bijzerweg 19, Woerden 3446 CR, the Netherlands
| | - Dirk K J Heylen
- Department of Human-Media Interaction, University of Twente, Drienerlolaan 5, Enschede 7522 NB, the Netherlands
| | - J Peter van Tintelen
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, the Netherlands
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5
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Martyn M, Lee L, Jan A, Tytherleigh R, Lynch F, Mighton C, Bouffler SE, Lynch E, Macciocca I, Curnow L, McCorkell G, Lunke S, Chong B, Delatycki MB, Downie L, Vears D, Best S, Clausen M, Bombard Y, Stark Z, Gaff C. Offering complex genomic screening in acute pediatric settings: Family decision-making and outcomes. Genet Med 2025; 27:101327. [PMID: 39548854 DOI: 10.1016/j.gim.2024.101327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 11/06/2024] [Accepted: 11/07/2024] [Indexed: 11/18/2024] Open
Abstract
PURPOSE Families of children in pediatric acute care who are offered ultrarapid genomic sequencing are making complex decisions during a high-stress period. To reduce complexity for families and clinicians, we offered genomic screening for the child and parents after the completion of diagnostic testing. We evaluated uptake, understanding, and service delivery preferences. METHODS A cohort of 235 families who had completed ultrarapid diagnostic genomic sequencing at 17 Australian hospitals were offered up to 3 screens on their genomic data: pediatric-onset, adult-onset, and expanded couple carrier screening. We investigated decision making, understanding, and service delivery preferences using surveys at 3 time points (pre counseling, post counseling, and post result) and performed inductive content analysis of pretest genetic counseling transcripts. RESULTS A total of 119 families (51%) attended genetic counseling with 115 (49%) accepting genomic screening. Survey respondents were more likely to find decisions about couple carrier screening easy (87%) compared with adult (68%; P = .002) or pediatric (71%; P = .01) screening decisions. All respondents with newly detected pathogenic variants accurately recalled this 1 month later. A delayed offer of screening was acceptable to most respondents (78%). CONCLUSION Separating genomic screening from the stressful diagnostic period is supported by families who demonstrate good knowledge and recall. Our results suggest delaying genomic screening should be trialed more widely.
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Affiliation(s)
- Melissa Martyn
- Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.
| | - Ling Lee
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Alli Jan
- Murdoch Children's Research Institute, Parkville, VIC, Australia; Australian Genomics Health Alliance, Parkville, VIC, Australia
| | - Rigan Tytherleigh
- Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Fiona Lynch
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Chloe Mighton
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | | | - Elly Lynch
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Ivan Macciocca
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Lisette Curnow
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | | | - Sebastian Lunke
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Belinda Chong
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Martin B Delatycki
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Lilian Downie
- Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Danya Vears
- Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia; Centre for Biomedical Ethics and Law, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Stephanie Best
- Australian Genomics Health Alliance, Parkville, VIC, Australia; Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Marc Clausen
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Zornitza Stark
- Australian Genomics Health Alliance, Parkville, VIC, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Clara Gaff
- Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
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Bather JR, Goodman MS, Harris A, Del Fiol G, Hess R, Wetter DW, Chavez-Yenter D, Zhong L, Kaiser-Jackson L, Chambers R, Bradshaw R, Kohlmann W, Colonna S, Espinel W, Monahan R, Buys SS, Ginsburg O, Kawamoto K, Kaphingst KA. Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility. BMC Cancer 2025; 25:180. [PMID: 39891096 PMCID: PMC11783932 DOI: 10.1186/s12885-025-13495-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Accepted: 01/12/2025] [Indexed: 02/03/2025] Open
Abstract
BACKGROUND Research on social determinants of genetic testing uptake is limited, particularly among unaffected patients with inherited cancer susceptibility. METHODS We conducted a secondary analysis of the Broadening the Reach, Impact, and Delivery of Genetic Services (BRIDGE) trial at University of Utah Health and NYU Langone Health, involving 2,760 unaffected patients meeting genetic testing criteria for inherited cancer susceptibility and who were initially randomized to either an automated chatbot or an enhanced standard of care (SOC) genetic services delivery model. We used encounters from the electronic health record (EHR) to measure the uptake of genetic counseling and testing, including dichotomous measures of (1) whether participants initiated pre-test cancer genetic services, (2) completed pre-test cancer genetic services, (3) had genetic testing ordered, and (4) completed genetic testing. We merged zip codes from the EHR to construct census tract-weighted social measures of the Social Vulnerability Index. Multilevel models estimated associations between social vulnerability and genetic services utilization. We tested whether intervention condition (i.e., chatbot vs. SOC) moderated the association of social vulnerability with genetic service utilization. Covariates included study arm, study site, age, sex, race/ethnicity, language preference, rural residence, having a recorded primary care provider, and number of algorithm criteria met. RESULTS Patients living in areas of medium socioeconomic status (SES) vulnerability had lower odds of initiating pre-test genetic services (adjusted OR [aOR] = 0.81, 95% CI: 0.67, 0.98) compared to patients living in low SES vulnerability areas. Patients in medium household vulnerability areas had a lower likelihood of completing pre-test genetic services (aOR = 0.80, 95% CI: 0.66-0.97) and having genetic testing ordered (aOR = 0.79, 95% CI: 0.63-0.99) relative to patients in low household vulnerability areas. We did not find that social vulnerability associations varied by intervention condition. CONCLUSIONS These results underscore the importance of investigating social and structural mechanisms as potential pathways to increasing genetic testing uptake among patients with increased inherited risk of cancer. Census information is publicly available but seldom used to assess social determinants of genetic testing uptake among unaffected populations. Existing and future cohort studies can incorporate census data to derive analytic insights for clinical scientists. TRIAL REGISTRATION BRIDGE was registered as NCT03985852 on June 6, 2019 at clinicaltrials.gov.
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Affiliation(s)
- Jemar R Bather
- Center for Anti-Racism, Social Justice & Public Health, New York University School of Global Public Health, 708 Broadway, 9th Floor, New York, NY, 10003, USA.
- Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA.
| | - Melody S Goodman
- Center for Anti-Racism, Social Justice & Public Health, New York University School of Global Public Health, 708 Broadway, 9th Floor, New York, NY, 10003, USA
- Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA
| | - Adrian Harris
- Center for Anti-Racism, Social Justice & Public Health, New York University School of Global Public Health, 708 Broadway, 9th Floor, New York, NY, 10003, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Rachel Hess
- Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
- Department of Internal Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - David W Wetter
- Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
- Center for Health Outcomes and Population Equity (HOPE), Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Daniel Chavez-Yenter
- Division of Hematology-Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Lingzi Zhong
- Department of Communication, University of Minnesota Duluth, Duluth, MN, USA
| | | | | | - Richard Bradshaw
- Department of Biomedical Informatics, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Clinical Cancer Genetics Service, VA Medical Center National TeleOncology, Durham, NC, USA
| | - Sarah Colonna
- Breast/Gynecologic System of Excellence, VA Medical Center National TeleOncology, Durham, NC, USA
- Division of Medical Oncology, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | - Rachel Monahan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Saundra S Buys
- Division of Oncology, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Ophira Ginsburg
- Center for Global Health, National Cancer Institute, Rockville, MD, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Communication, University of Utah, Salt Lake City, UT, USA
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Zhang L, Bullen C, Chen J. Digital Health Innovations to Catalyze the Transition to Value-Based Health Care. JMIR Med Inform 2025; 13:e57385. [PMID: 39864959 PMCID: PMC11769777 DOI: 10.2196/57385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 09/23/2024] [Accepted: 11/15/2024] [Indexed: 01/28/2025] Open
Abstract
Unlabelled The health care industry is currently going through a transformation due to the integration of technologies and the shift toward value-based health care (VBHC). This article explores how digital health solutions play a role in advancing VBHC, highlighting both the challenges and opportunities associated with adopting these technologies. Digital health, which includes mobile health, wearable devices, telehealth, and personalized medicine, shows promise in improving diagnostic accuracy, treatment options, and overall health outcomes. The article delves into the concept of transformation in health care by emphasizing its potential to reform care delivery through data communication, patient engagement, and operational efficiency. Moreover, it examines the principles of VBHC, with a focus on patient outcomes, and emphasizes how digital platforms play a role in treatment among tertiary hospitals by using patient-reported outcome measures. The article discusses challenges that come with implementing VBHC, such as stakeholder engagement and standardization of patient-reported outcome measures. It also highlights the role played by health innovators in facilitating the transition toward VBHC models. Through real-life case examples, this article illustrates how digital platforms have had an impact on efficiencies, patient outcomes, and empowerment. In conclusion, it envisions directions for solutions in VBHC by emphasizing the need for interoperability, standardization, and collaborative efforts among stakeholders to fully realize the potential of digital transformation in health care. This research highlights the impact of digital health in creating a health care system that focuses on providing high-quality, efficient, and patient-centered care.
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Affiliation(s)
- Lan Zhang
- Department of Public Administration, Law School, Hangzhou City University, Hangzhou, China
| | - Christopher Bullen
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | - Jinsong Chen
- Department of Public Administration, Law School, Hangzhou City University, Hangzhou, China
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
- School of Public Affairs, Zhejiang University, Hangzhou, China
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8
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Kanga-Parabia A, Archibald AD, Biggs LJ, Lewis S, Tutty E, Dawson-McClaren B. Experiences of perinatal genetic screening for people from migrant and refugee backgrounds: a scoping review. Eur J Hum Genet 2025:10.1038/s41431-024-01748-y. [PMID: 39755878 DOI: 10.1038/s41431-024-01748-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 10/30/2024] [Accepted: 11/14/2024] [Indexed: 01/06/2025] Open
Abstract
People from refugee and migrant backgrounds often face poor experiences and outcomes in healthcare, and genetic healthcare is no exception. Understanding whether and how these health inequities manifest is an important step towards equitable perinatal genetic screening for genetic or chromosomal conditions (offered preconception, prenatally, or during the newborn period). A scoping review was conducted to review international evidence of perceptions and experiences of perinatal genetic screening for people from migrant and refugee backgrounds. Search strategies were applied to Medline, Embase, and CINAHL databases to identify articles meeting eligibility criteria. Evidence was synthesised using descriptive and content analysis, with theoretical frameworks of proportionate universality and relational autonomy used to interpret findings. Of 11,046 unique articles identified, twenty-six met inclusion criteria and underwent full-text review. Most studies were set in Western countries, and participants were primarily born in Asia, South America, or Africa. Studies indicated varying awareness, knowledge, attitudes, and uptake of screening. Several studies highlighted a lack of adequate in-language resources, the use of concepts that were unrecognised in particular communities, and poor interactions with healthcare providers. Strategies to address the above issues included person-centred counselling, increased consultation time, access to interpreters, and training for relevant providers. Other recommendations included addressing structural, financial, and geographical barriers to improve access to screening and associated care. Whilst additional research is required, we propose evidence and theory-informed strategies to improve perinatal genetic screening services for people from migrant and refugee backgrounds.
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Affiliation(s)
- Anaita Kanga-Parabia
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
| | - Alison D Archibald
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
- Victorian Clinical Genetics Services, Melbourne, VIC, Australia
| | - Laura J Biggs
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Sharon Lewis
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
| | - Erin Tutty
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
| | - Belinda Dawson-McClaren
- Murdoch Children's Research Institute, Melbourne, VIC, Australia.
- University of Melbourne, Melbourne, VIC, Australia.
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9
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Zhang Y, Li L, Li X, Zhang S, Zhou L, Chen X, Hu X. Risk Prediction Models as an Emerging Trend for Managing Cancer-Related Fatigue: A Systematic Review. J Adv Nurs 2024. [PMID: 39676229 DOI: 10.1111/jan.16680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 11/20/2024] [Accepted: 12/04/2024] [Indexed: 12/17/2024]
Abstract
AIM To systematically identify, describe and evaluate the existing risk prediction models for cancer-related fatigue. DESIGN Systematic review. DATA SOURCES Seven databases (EMBASE, Cochrane Database, MEDLINE, CINAHL, CNKI, SinoMed and Wanfang) were conducted from inception to August 14, 2023 and updated in September 15, 2024. REVIEW METHODS A systematic search was conducted to identify studies that reported the development of risk prediction models for cancer-related fatigue. Two researchers independently performed a comprehensive assessment of the included studies. The Prediction Model Risk of Bias Assessment Tool was used to assess the risk of bias and applicability. RESULTS Eighteen studies were included in this review. These models predicted cancer-related fatigue in various cancers, including breast cancer, prostate cancer, gynaecological tumours and lung cancer. The most commonly included predictors were anxiety and depression, age, chemotherapy status, sleep quality and pain. Thirteen studies assessed the model performance by using the receiver operating characteristic curve. Although most models exhibited good predictive performance, a higher risk of bias was observed because of inappropriate handling of missing data methods and an imbalance in events per variable. CONCLUSION Prediction models show promise for cancer-related fatigue management and precision care, but few are ready for clinical application due to methodological limitations. IMPLICATIONS FOR THE PROFESSION Future research should focus on improving the clinical utility of cancer-related fatigue models while balancing predictive accuracy with cost-effectiveness to promote equitable care. IMPACT This study critically systematically evaluated the prediction models of cancer-related fatigue. The existing prediction models have a weak methodological foundation, with only a few having the potential to be implemented in clinical practice. REPORTING METHOD The review is reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis in Systematic Reviews and Meta-Analyses checklist (TRIPOD-SRMA). PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
- Yun Zhang
- West China School of Nursing, Sichuan University/Department of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Linna Li
- West China School of Nursing, Sichuan University/Department of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xia Li
- General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Shu Zhang
- West China School of Nursing, Sichuan University/Department of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Lin Zhou
- West China School of Nursing, Sichuan University/Department of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xiaoli Chen
- West China School of Nursing, Sichuan University/Department of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xiaolin Hu
- West China School of Nursing, Sichuan University/Department of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China
- Tianfu Jincheng Laboratory, City of Future Medicine, Chengdu, People's Republic of China
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10
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Russell CD, Daley AV, Van Arnem DR, Hila AV, Johnson KJ, Davies JN, Cytron HS, Ready KJ, Armstrong CM, Sylvester ME, Caleshu CA. Validation of a guidelines-based digital tool to assess the need for germline cancer genetic testing. Hered Cancer Clin Pract 2024; 22:24. [PMID: 39516903 PMCID: PMC11545665 DOI: 10.1186/s13053-024-00298-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Efficient and scalable solutions are needed to identify patients who qualify for germline cancer genetic testing. We evaluated the clinical validity of a brief, patient-administered hereditary cancer risk assessment digital tool programmed to assess if patients meet criteria for germline genetic testing, based on personal and family history, and in line with national guidelines. METHODS We applied the tool to cases seen in a nationwide telehealth genetic counseling practice. Validity of the tool was evaluated by comparing the tool's assessment to that of the genetic counselor who saw the patient. Patients' histories were extracted from genetic counselor-collected pedigrees and input into the tool by the research team to model how a patient would complete the tool. We also validated the tool's assessment of which specific aspects of the personal and family history met criteria for genetic testing. Descriptive statistics were used. RESULTS Of the 152 cases (80% female, mean age 52.3), 56% had a personal history of cancer and 66% met genetic testing criteria. The tool and genetic counselor agreed in 96% of cases. Most disagreements (4/6; 67%) occurred because the genetic counselor's assessment relied on details the tool was not programmed to collect since patients typically don't have access to the relevant information (pathology details, risk models). We also found complete agreement between the tool and research team on which specific aspects of the patient's history met criteria for genetic testing. CONCLUSION We observed a high level of agreement with genetic counselor assessments, affirming the tool's clinical validity in identifying individuals for hereditary cancer predisposition testing and its potential for increasing access to hereditary cancer risk assessment.
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Affiliation(s)
- Callan D Russell
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
- Northside Hospital, 1000 Johnson Ferry Rd NE, Atlanta, GA, 30342, USA
| | - Ashley V Daley
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Durand R Van Arnem
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Andi V Hila
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Kiley J Johnson
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Jill N Davies
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Hanah S Cytron
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Kaylene J Ready
- GeneMatters, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Cary M Armstrong
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Mark E Sylvester
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA
| | - Colleen A Caleshu
- Genome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
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11
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Phung L, Wood E, Egleston B, Hoffman-Andrews L, Ofidis D, Howe S, Mim R, Griffin H, Fetzer D, Owens A, Domchek S, Pyeritz R, Katona B, Kallish S, Sirugo G, Weaver J, Nathanson KL, Rader DJ, Bradbury AR. Facilitating return of actionable genetic research results from a biobank repository: Participant uptake and utilization of digital interventions. HGG ADVANCES 2024; 5:100346. [PMID: 39183478 PMCID: PMC11415769 DOI: 10.1016/j.xhgg.2024.100346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 08/20/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024] Open
Abstract
Research participants report interest in receiving genetic research results. How best to return results remains unclear. In this randomized pilot study, we sought to assess the feasibility of returning actionable research results through a two-step process including a patient-centered digital intervention as compared with a genetic counselor (GC) in the Penn Medicine biobank. In Step 1, participants with an actionable result and procedural controls (no actionable result) were invited to digital pre-disclosure education and provided options for opting out of results. In Step 2, those with actionable results who had not opted out were randomized to receive results via a digital disclosure intervention or with a GC. Five participants (2%) opted out of results after Step 1. After both steps, 52 of 113 (46.0%) eligible cases received results, 5 (4.4%) actively declined results, 34 (30.1%) passively declined, and 22 (19.5%) could not be reached. Receiving results was associated with younger age (p < 0.001), completing pre-disclosure education (p < 0.001), and being in the GC arm (p = 0.06). Being older, female, and of Black race were associated with being unable to reach. Older age and Black race were associated with passively declining. Forty-seven percent of those who received results did not have personal or family history to suggest the mutation, and 55.1% completed clinical confirmation testing. The use of digital tools may be acceptable to participants and could reduce costs of returning results. Low uptake, disparities in uptake, and barriers to confirmation testing will be important to address to realize the benefit of returning actionable research results.
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Affiliation(s)
- Lillian Phung
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Elisabeth Wood
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Brian Egleston
- Fox Chase Cancer Center, Temple University, Philadelphia, PA, USA
| | - Lily Hoffman-Andrews
- The University of Pennsylvania, Division of Cardiovascular Medicine, Philadelphia, PA, USA
| | - Demetrios Ofidis
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Sarah Howe
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Rajia Mim
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Hannah Griffin
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Dominique Fetzer
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Anjali Owens
- The University of Pennsylvania, Division of Cardiovascular Medicine, Philadelphia, PA, USA
| | - Susan Domchek
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA
| | - Reed Pyeritz
- The University of Pennsylvania, Division of Translational Medicine and Human Genetics, Philadelphia, PA, USA
| | - Bryson Katona
- The University of Pennsylvania, Division of Gastroenterology, Philadelphia, PA, USA
| | - Staci Kallish
- The University of Pennsylvania, Division of Translational Medicine and Human Genetics, Philadelphia, PA, USA
| | - Giorgio Sirugo
- The University of Pennsylvania, Division of Translational Medicine and Human Genetics, Philadelphia, PA, USA
| | - JoEllen Weaver
- The University of Pennsylvania, Division of Translational Medicine and Human Genetics, Philadelphia, PA, USA
| | - Katherine L Nathanson
- The University of Pennsylvania, Division of Translational Medicine and Human Genetics, Philadelphia, PA, USA
| | - Daniel J Rader
- The University of Pennsylvania, Division of Translational Medicine and Human Genetics, Philadelphia, PA, USA
| | - Angela R Bradbury
- The University of Pennsylvania, Abramson Cancer Center and Division of Hematology-Oncology, Philadelphia, PA, USA; The University of Pennsylvania, Department of Medical Ethics and Health Policy, Philadelphia, PA, USA.
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12
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Siddiqui W, Pacyna JE, Phelan SM, Jones JC, Samadder NJ, Sharp RR. Factors Impacting Intent to Share Multigenic Cancer Testing Results in a Community Hospital Setting. J Pers Med 2024; 14:987. [PMID: 39338241 PMCID: PMC11433406 DOI: 10.3390/jpm14090987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND/OBJECTIVES Multi-gene, multi-cancer, hereditary cancer risk screenings may be useful in cancer prevention and treatment, not only for cancer patients but also for patients' family members. If genetic cancer screening is to have the widest possible benefit, it must be extended into diverse cancer care settings that serve diverse patient communities, providing cancer patients and their relatives with individualized cancer risk evaluations. Little research, to date, has examined the impact of extending multigenic cancer screening into diverse settings. Without empirical data characterizing the support needs of cancer patients and their family members, we may not adequately satisfy the needs of all patients and risk exacerbating existing disparities in cancer care and outcomes. METHODS We examined patient perspectives on the sharing of genetic results with at-risk family members by surveying a racially diverse sample of cancer patients receiving a multi-gene, multi-cancer risk screen in a community hospital setting. RESULTS In a survey of 230 cancer patients, we found that intent to share results with family members was high but varied across family member types. More respondents planned to disclose results to at least one sister (82.5%) compared to at least one brother (73.1%). Over one-fourth of participants (27.4%) were either uncertain about sharing or intended to withhold their genomic screening results from at least one at-risk family member eligible for cascade testing. Participants were more likely to withhold their results from a sibling than from a child. Furthermore, intent to share across all family member types was lower if probands failed to identify at least one benefit to sharing. CONCLUSIONS Understanding factors associated with decisions to share results with at-risk relatives in diverse patient populations can help clinicians support cascade genetic cancer screenings in diverse communities and settings.
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Affiliation(s)
- Wamia Siddiqui
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA
| | - Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA
| | - Sean M Phelan
- Division of Healthcare Delivery Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Jeremy C Jones
- Division of Hematology and Oncology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - N Jewel Samadder
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
- Department of Clinical Genomics, Mayo Clinic, Phoenix, AZ 85054, USA
- Center for Individualized Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
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13
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Sharma V, McDermott J, Keen J, Foster S, Whelan P, Newman W. Pharmacogenetics Clinical Decision Support Systems for Primary Care in England: Co-Design Study. J Med Internet Res 2024; 26:e49230. [PMID: 39042886 PMCID: PMC11303890 DOI: 10.2196/49230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 12/22/2023] [Accepted: 05/13/2024] [Indexed: 07/25/2024] Open
Abstract
BACKGROUND Pharmacogenetics can impact patient care and outcomes through personalizing the selection of medicines, resulting in improved efficacy and a reduction in harmful side effects. Despite the existence of compelling clinical evidence and international guidelines highlighting the benefits of pharmacogenetics in clinical practice, implementation within the National Health Service in the United Kingdom is limited. An important barrier to overcome is the development of IT solutions that support the integration of pharmacogenetic data into health care systems. This necessitates a better understanding of the role of electronic health records (EHRs) and the design of clinical decision support systems that are acceptable to clinicians, particularly those in primary care. OBJECTIVE Explore the needs and requirements of a pharmacogenetic service from the perspective of primary care clinicians with a view to co-design a prototype solution. METHODS We used ethnographic and think-aloud observations, user research workshops, and prototyping. The participants for this study included general practitioners and pharmacists. In total, we undertook 5 sessions of ethnographic observation to understand current practices and workflows. This was followed by 3 user research workshops, each with its own topic guide starting with personas and early ideation, through to exploring the potential of clinical decision support systems and prototype design. We subsequently analyzed workshop data using affinity diagramming and refined the key requirements for the solution collaboratively as a multidisciplinary project team. RESULTS User research results identified that pharmacogenetic data must be incorporated within existing EHRs rather than through a stand-alone portal. The information presented through clinical decision support systems must be clear, accessible, and user-friendly as the service will be used by a range of end users. Critically, the information should be displayed within the prescribing workflow, rather than discrete results stored statically in the EHR. Finally, the prescribing recommendations should be authoritative to provide confidence in the validity of the results. Based on these findings we co-designed an interactive prototype, demonstrating pharmacogenetic clinical decision support integrated within the prescribing workflow of an EHR. CONCLUSIONS This study marks a significant step forward in the design of systems that support pharmacogenetic-guided prescribing in primary care settings. Clinical decision support systems have the potential to enhance the personalization of medicines, provided they are effectively implemented within EHRs and present pharmacogenetic data in a user-friendly, actionable, and standardized format. Achieving this requires the development of a decoupled, standards-based architecture that allows for the separation of data from application, facilitating integration across various EHRs through the use of application programming interfaces (APIs). More globally, this study demonstrates the role of health informatics and user-centered design in realizing the potential of personalized medicine at scale and ensuring that the benefits of genomic innovation reach patients and populations effectively.
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Affiliation(s)
- Videha Sharma
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, United Kingdom
- Pankhurst Institute for Health Technology Research and Innovation, University of Manchester, Manchester, United Kingdom
| | - John McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Jessica Keen
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Simon Foster
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, United Kingdom
| | - Pauline Whelan
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, United Kingdom
| | - William Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
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14
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Costa C, Guimarães L, Baião RL, Lemos MSD, Azevedo LF, Paneque M. The urgency for a change in genetics healthcare provision: views from Portuguese medical geneticists. J Community Genet 2024; 15:319-331. [PMID: 38427313 PMCID: PMC11217224 DOI: 10.1007/s12687-024-00702-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/22/2024] [Indexed: 03/02/2024] Open
Abstract
In the last decades, genetics has experienced significant technological advancements worldwide. However, in Portugal, serious limitations persist, compromising the functioning of healthcare in medical genetics. This study aimed to promote sharing and discussion among genetic medical professionals, to outline concrete actions to address gaps in clinical practice. Three focus groups were conducted with 19 specialists in medical genetics. The data were analyzed using the thematic analysis method to extract the main themes from the discussions. From the analysis, four conceptual themes emerged: (i) framing Portuguese genetic services in light of the European context; (ii) improvement of medical genetics education and population literacy; (iii) transforming of medical genetics services; and (iv) operationalizing the change. The results demonstrated that increasing training resources and strengthening multiprofessional teams by hiring more genetic professionals, such as clinical geneticists, molecular geneticists, and other genetic specialists, is crucial to enhancing the responsiveness of genetic services. Integrating medical genetics into all specialties and primary care, as well as updating the national network of medical genetics, are critical points for increasing equity and enabling healthcare to be provided more fairly. Including other medical genetics professionals such as genetic counsellors, nurses and psychologists also plays a significant role in providing comprehensive and quality care. This collaborative approach aims to provide effective genetic assistance and enhance the adequacy of genetic healthcare. The findings are compiled as recommendations to support the profession moving forward that can be applied to other healthcare contexts worldwide.
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Affiliation(s)
- Catarina Costa
- i3S-Institute for Research and Innovation in Health, University of Porto, R. Júlio Amaral de Carvalho, 45, Porto, 4200-135, Portugal
- IBMC-Institute of Molecular and Cellular Biology, University of Porto, Porto, Portugal
- CGPP-Center for Predictive and Preventive Genetics, University of Porto, Porto, Portugal
- FMUP-Faculty of Medicine, University of Porto, Porto, Portugal
| | - Lídia Guimarães
- ICBAS-School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal
- AAJUDE - Associação de Apoio à Juventude Deficiente, Porto, Portugal
| | - Ruxanda Lungu Baião
- ICBAS-School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal
| | - Marina Serra de Lemos
- FPCEUP-Faculty of Psychology and Educational Sciences, University of Porto, Porto, Portugal
- CPUP-Center for Psychology, University of Porto, Porto, Portugal
| | - Luís Filipe Azevedo
- MEDCIDS-Department of Community Medicine, Health Information and Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- CINTESIS@RISE-Center for Health Technology and Services Research, University of Porto, Porto, Portugal
| | - Milena Paneque
- i3S-Institute for Research and Innovation in Health, University of Porto, R. Júlio Amaral de Carvalho, 45, Porto, 4200-135, Portugal.
- IBMC-Institute of Molecular and Cellular Biology, University of Porto, Porto, Portugal.
- CGPP-Center for Predictive and Preventive Genetics, University of Porto, Porto, Portugal.
- ICBAS-School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal.
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15
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Lee W, Hirjikaka D, Grewal S, Shaw A, Luca S, Clausen M, Bombard Y, Hayeems RZ. Genetics providers' perspectives on the use of digital tools in clinical practice. Genet Med 2024; 26:101122. [PMID: 38493336 DOI: 10.1016/j.gim.2024.101122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
PURPOSE Digital tools are increasingly incorporated into genetics practice to address challenges with the current model of care. Yet, genetics providers' perspectives on digital tool use are not well characterized. METHODS Genetics providers across Canada were recruited. Semistructured interviews were conducted to ascertain their perspectives on digital tool use and the clinical practice factors that might inform digital tool integration. A qualitative interpretive description approach was used for analysis. RESULTS Thirty-three genetics providers across 5 provinces were interviewed. Participants had favorable attitudes toward digital tool use. They were open to using digital tools in the pretest phase of the genetic testing pathway and for some posttest tasks or in a hybrid model of care. Participants expressed that digital tools could enhance efficiency and allow providers to spend more time practicing at the top of scope. Providers also described the need for careful consideration of the potential impact of digitalization on the clinician-patient dynamic, access to and equity of care, and unintended digital burden on providers. CONCLUSION Genetics providers considered digital tools to represent a viable solution for improving access, efficiency, and quality of care in genetics practice. Successful use of digital tools in practice will require careful consideration of their potential unintended impacts.
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Affiliation(s)
- Whiwon Lee
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Daena Hirjikaka
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Sonya Grewal
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Angela Shaw
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Stephanie Luca
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada
| | - Marc Clausen
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Robin Z Hayeems
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
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16
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Kanga-Parabia A, Mitchell L, Smyth R, Kapoor T, Duggal J, Pearn A, Williams R, Courtney E, Edwards E, Bowman M, Belekar M, Gaff C, Nisselle A. Genetic counseling workforce diversity, inclusion, and capacity in Australia and New Zealand. GENETICS IN MEDICINE OPEN 2024; 2:101848. [PMID: 39712954 PMCID: PMC11658314 DOI: 10.1016/j.gimo.2024.101848] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/30/2024] [Accepted: 04/30/2024] [Indexed: 12/24/2024]
Abstract
Purpose To understand diversity, inclusion, and capacity of genetic counselors (GCs) in Australasia (Australia and New Zealand). Methods Individuals with or working toward a GC qualification in Australasia were invited to complete an online survey, between November 2022 and March 2023. Quantitative data were analyzed using descriptive statistics, 1-sample proportion z-tests, 2-sample z-tests, and χ2 tests. Qualitative data were analyzed using inductive content analysis. Results A total of 252 participants responded to the survey. A subset analysis of respondents residing in Australia demonstrated a lack of representation across various characteristics including sex, relationship status, caregiver status, location, country of birth, Aboriginal/Torres Strait Islander identity, language, and religion. Analysis of the full data set demonstrated that most respondents also perceived that the workforce was not representative across gender, sexual orientation, ethnicity, or disability. Respondents provided examples of existing inclusive practice. They also suggested workforce needs, such as promoting education and employment for minority communities, more visible diversity, accessible services for clients, and professional development for GCs. Using survey and reference data, we estimated approximately 346 full-time equivalent GCs working in clinical practice in Australasia. Conclusion Our study provides a first step in illuminating GC workforce changes needed in Australasia regarding diversity, inclusion, and capacity. The survey may be of use internationally, enabling other countries to understand these issues within their jurisdiction, and supporting the international community in addressing these challenges.
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Affiliation(s)
- Anaita Kanga-Parabia
- Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- The University of Melbourne, Melbourne, VIC, Australia
| | - Lucas Mitchell
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- School of Clinical Medicine, University of New South Wales (UNSW) Medicine and Health, UNSW, Sydney, NSW, Australia
| | - Renee Smyth
- St Vincent’s Hospital Sydney, Darlinghurst, NSW, Australia
| | - Trisha Kapoor
- Tasmanian Clinical Genetics Service, Hobart, TAS, Australia
| | - Jaitika Duggal
- Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Amy Pearn
- The Gene Council, North Perth, WA, Australia
| | - Rachel Williams
- School of Clinical Medicine, University of New South Wales (UNSW) Medicine and Health, UNSW, Sydney, NSW, Australia
- Prince of Wales Hospital, Randwick, NSW, Australia
| | - Eliza Courtney
- School of Clinical Medicine, University of New South Wales (UNSW) Medicine and Health, UNSW, Sydney, NSW, Australia
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- Kids Cancer Centre, Sydney Children’s Hospital, Randwick, NSW, Australia
| | | | | | - Mithila Belekar
- Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, United Kingdom
| | - Clara Gaff
- Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- The University of Melbourne, Melbourne, VIC, Australia
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
| | - Amy Nisselle
- Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- The University of Melbourne, Melbourne, VIC, Australia
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
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17
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Zakiyah N, Marulin D, Alfaqeeh M, Puspitasari IM, Lestari K, Lim KK, Fox-Rushby J. Economic Evaluations of Digital Health Interventions for Patients With Heart Failure: Systematic Review. J Med Internet Res 2024; 26:e53500. [PMID: 38687991 PMCID: PMC11094606 DOI: 10.2196/53500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 03/26/2024] [Accepted: 03/26/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Digital health interventions (DHIs) have shown promising results in enhancing the management of heart failure (HF). Although health care interventions are increasingly being delivered digitally, with growing evidence on the potential cost-effectiveness of adopting them, there has been little effort to collate and synthesize the findings. OBJECTIVE This study's objective was to systematically review the economic evaluations that assess the adoption of DHIs in the management and treatment of HF. METHODS A systematic review was conducted using 3 electronic databases: PubMed, EBSCOhost, and Scopus. Articles reporting full economic evaluations of DHIs for patients with HF published up to July 2023 were eligible for inclusion. Study characteristics, design (both trial based and model based), input parameters, and main results were extracted from full-text articles. Data synthesis was conducted based on the technologies used for delivering DHIs in the management of patients with HF, and the findings were analyzed narratively. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed for this systematic review. The reporting quality of the included studies was evaluated using the CHEERS (Consolidated Health Economic Evaluation Reporting Standards) guidelines. RESULTS Overall, 27 economic evaluations were included in the review. The economic evaluations were based on models (13/27, 48%), trials (13/27, 48%), or a combination approach (1/27, 4%). The devices evaluated included noninvasive remote monitoring devices (eg, home telemonitoring using digital tablets or specific medical devices that enable transmission of physiological data), telephone support, mobile apps and wearables, remote monitoring follow-up in patients with implantable medical devices, and videoconferencing systems. Most of the studies (24/27, 89%) used cost-utility analysis. The majority of the studies (25/27, 93%) were conducted in high-income countries, particularly European countries (16/27, 59%) such as the United Kingdom and the Netherlands. Mobile apps and wearables, remote monitoring follow-up in patients with implantable medical devices, and videoconferencing systems yielded cost-effective results or even emerged as dominant strategies. However, conflicting results were observed, particularly in noninvasive remote monitoring devices and telephone support. In 15% (4/27) of the studies, these DHIs were found to be less costly and more effective than the comparators (ie, dominant), while 33% (9/27) reported them to be more costly but more effective with incremental cost-effectiveness ratios below the respective willingness-to-pay thresholds (ie, cost-effective). Furthermore, in 11% (3/27) of the studies, noninvasive remote monitoring devices and telephone support were either above the willingness-to-pay thresholds or more costly than, yet as effective as, the comparators (ie, not cost-effective). In terms of reporting quality, the studies were classified as good (20/27, 74%), moderate (6/27, 22%), or excellent (1/27, 4%). CONCLUSIONS Despite the conflicting results, the main findings indicated that, overall, DHIs were more cost-effective than non-DHI alternatives. TRIAL REGISTRATION PROSPERO CRD42023388241; https://tinyurl.com/2p9axpmc.
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Affiliation(s)
- Neily Zakiyah
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
- Center of Excellence for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
| | - Dita Marulin
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
| | - Mohammed Alfaqeeh
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
| | - Irma Melyani Puspitasari
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
- Center of Excellence for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
| | - Keri Lestari
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
- Center of Excellence for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
| | - Ka Keat Lim
- Department of Population Health Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Julia Fox-Rushby
- Department of Population Health Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
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18
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Gordon EJ, Gacki-Smith J, Gooden MJ, Waite P, Yacat R, Abubakari ZR, Duquette D, Agrawal A, Friedewald J, Savage SK, Cooper M, Gilbert A, Muhammad LN, Wicklund C. Development of a culturally targeted chatbot to inform living kidney donor candidates of African ancestry about APOL1 genetic testing: a mixed methods study. J Community Genet 2024; 15:205-216. [PMID: 38349598 PMCID: PMC11031529 DOI: 10.1007/s12687-024-00698-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Clinical chatbots are increasingly used to help integrate genetic testing into clinical contexts, but no chatbot exists for Apolipoprotein L1 (APOL1) genetic testing of living kidney donor (LKD) candidates of African ancestry. Our study aimed to culturally adapt and assess perceptions of the Gia® chatbot to help integrate APOL1 testing into LKD evaluation. Ten focus groups and post-focus group surveys were conducted with 54 LKDs, community members, and kidney transplant recipients of African ancestry. Data were analyzed through thematic analysis and descriptive statistics. Key themes about making Gia culturally targeted included ensuring: (1) transparency by providing Black LKDs' testimonials, explaining patient privacy and confidentiality protections, and explaining how genetic testing can help LKD evaluation; (2) content is informative by educating Black LKDs about APOL1 testing instead of aiming to convince them to undergo testing, presenting statistics, and describing how genetic discrimination is legally prevented; and (3) content avoids stigma about living donation in the Black community. Most agreed Gia was neutral and unbiased (82%), trustworthy (82%), and words, phrases, and expressions were familiar to the intended audience (85%). Our culturally adapted APOL1 Gia chatbot was well regarded. Future research should assess how this chatbot could supplement provider discussion prior to genetic testing to scale APOL1 counseling and testing for LKD candidate clinical evaluation.
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Affiliation(s)
- Elisa J Gordon
- Department of Surgery, Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, 1161 21St Avenue South, D-4314 Medical Center North Nashville, Nashville, TN, 37232-2730, USA.
| | - Jessica Gacki-Smith
- Center for Health Services and Outcomes Research, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthew J Gooden
- Center for Health Services and Outcomes Research, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Preeya Waite
- Center for Health Services and Outcomes Research, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rochell Yacat
- Medstar Georgetown Transplant Institute, Georgetown University Hospital, Washington, DC, USA
| | - Zenab R Abubakari
- Medstar Georgetown Transplant Institute, Georgetown University Hospital, Washington, DC, USA
| | - Debra Duquette
- Medicine, Cardiology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Akansha Agrawal
- Division of Nephrology and Hypertension, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John Friedewald
- Division of Nephrology and Hypertension, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Matthew Cooper
- Froedtert Hospital Center for Advanced Care, Froedtert Memorial Lutheran Hospital Children's Hospital of Wisconsin Medical College of Wisconsin, Milwaukee, WI, USA
- Children's Hospital of Wisconsin, Milwaukee, WI, USA
- Medical College of Wisconsin, Milwaukee, WI, USA
- Froedtert Hospital Center for Advanced Care, Milwaukee, WI, USA
| | - Alexander Gilbert
- Medstar Georgetown Transplant Institute, Georgetown University Hospital, Washington, DC, USA
| | - Lutfiyya N Muhammad
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Wicklund
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Abstract
Rare diseases are a leading cause of infant mortality and lifelong disability. To improve outcomes, timely diagnosis and effective treatments are needed. Genomic sequencing has transformed the traditional diagnostic process, providing rapid, accurate and cost-effective genetic diagnoses to many. Incorporating genomic sequencing into newborn screening programmes at the population scale holds the promise of substantially expanding the early detection of treatable rare diseases, with stored genomic data potentially benefitting health over a lifetime and supporting further research. As several large-scale newborn genomic screening projects launch internationally, we review the challenges and opportunities presented, particularly the need to generate evidence of benefit and to address the ethical, legal and psychosocial issues that genomic newborn screening raises.
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Affiliation(s)
- Zornitza Stark
- Australian Genomics, Melbourne, Victoria, Australia.
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.
| | - Richard H Scott
- Great Ormond Street Hospital for Children, London, UK
- UCL Great Ormond Street Institute of Child Health, London, UK
- Genomics England, London, UK
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20
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Sperling K, Scherb H, Neitzel H. Population monitoring of trisomy 21: problems and approaches. Mol Cytogenet 2023; 16:6. [PMID: 37183244 PMCID: PMC10183086 DOI: 10.1186/s13039-023-00637-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/02/2023] [Indexed: 05/16/2023] Open
Abstract
Trisomy 21 (Down syndrome) is the most common autosomal aneuploidy among newborns. About 90% result from meiotic nondisjunction during oogenesis, which occurs around conception, when also the most profound epigenetic modifications take place. Thus, maternal meiosis is an error prone process with an extreme sensitivity to endogenous factors, as exemplified by maternal age. This contrasts with the missing acceptance of causal exogenous factors. The proof of an environmental agent is a great challenge, both with respect to ascertainment bias, determination of time and dosage of exposure, as well as registration of the relevant individual health data affecting the birth prevalence. Based on a few exemplary epidemiological studies the feasibility of trisomy 21 monitoring is illustrated. In the nearer future the methodical premises will be clearly improved, both due to the establishment of electronic health registers and to the introduction of non-invasive prenatal tests. Down syndrome is a sentinel phenotype, presumably also with regard to other congenital anomalies. Thus, monitoring of trisomy 21 offers new chances for risk avoidance and preventive measures, but also for basic research concerning identification of relevant genomic variants involved in chromosomal nondisjunction.
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Affiliation(s)
- Karl Sperling
- Institute of Medical and Human Genetics, Charité-Universitaetsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
| | - Hagen Scherb
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Heidemarie Neitzel
- Institute of Medical and Human Genetics, Charité-Universitaetsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
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21
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Abstract
PURPOSE OF REVIEW The coronavirus disease 2019 pandemic demonstrated broad utility of pathogen sequencing with rapid methodological progress alongside global distribution of sequencing infrastructure. This review considers implications for now moving clinical metagenomics into routine service, with respiratory metagenomics as the exemplar use-case. RECENT FINDINGS Respiratory metagenomic workflows have completed proof-of-concept, providing organism identification and many genotypic antimicrobial resistance determinants from clinical samples in <6 h. This enables rapid escalation or de-escalation of empiric therapy for patient benefit and reducing selection of antimicrobial resistance, with genomic-typing available in the same time-frame. Attention is now focussed on demonstrating clinical, health-economic, accreditation, and regulatory requirements. More fundamentally, pathogen sequencing challenges the traditional culture-orientated time frame of microbiology laboratories, which through automation and centralisation risks becoming increasingly separated from the clinical setting. It presents an alternative future where infection experts are brought together around a single genetic output in an acute timeframe, aligning the microbiology target operating model with the wider human genomic and digital strategy. SUMMARY Pathogen sequencing is a transformational proposition for microbiology laboratories and their infectious diseases, infection control, and public health partners. Healthcare systems that link output from routine clinical metagenomic sequencing, with pandemic and antimicrobial resistance surveillance, will create valuable tools for protecting their population against future infectious diseases threats.
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Affiliation(s)
- Jonathan D Edgeworth
- Department of Infectious Diseases, Guy's & St Thomas' NHS Foundation Trust & Department of Infectious Diseases, Kings College London, UK
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22
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De Paolis E, Perrucci A, Marchetti C, Pietragalla A, Scambia G, Urbani A, Fagotti A, Minucci A. BRCA testing on buccal swab to improve access to healthcare and cancer prevention: a performance evaluation. Int J Gynecol Cancer 2022; 32:1419-1426. [PMID: 36028233 DOI: 10.1136/ijgc-2022-003718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE BRCA1/2 (BRCA) genetic testing allows patients with high-grade serous ovarian cancer to receive appropriate medical management with molecular target therapy and prevention strategies. Most of the BRCA sequencing methods use blood as the primary source of germline DNA. Buccal swab emerged as an alternative collection device due to its convenient and non-invasive characteristics. This study assessed the suitability of buccal swabs as the DNA source in next-generation sequencing-based BRCA genotyping. METHODS Matched buccal swabs and blood samples were collected from 51 patients with high-grade serous ovarian cancer, including 29 BRCA-mutated patients, from June to December 2021. Buccal swabs were self-collected using COPAN FLOQSwabs hDNA Free. BRCA genes were amplified using Devyser's BRCA next-generation sequencing kit and sequenced on the Illumina MiSeq platform. We evaluated collection and extraction procedures, amplification and sequencing performances, coverage data, blood/swab variant calling concordance, and interpretation. RESULTS Comparable sequencing parameters were observed between the two sample types in term of mean total number of reads passing filter for indexed sample (p>0.05) and sequencing coverage distribution, with a widespread overlap of mean depth of coverage/target region between blood and swab samples. An overall concordance of 100% in both polymorphisms and pathogenic variants calling between the two DNA sources were observed, including the copy number variation prediction. CONCLUSIONS Data from this study support the use of buccal swabs as an alternative source of DNA for BRCA evaluation. The use of this alternative delivery mode of BRCA testing may facilitate access to care without compromising patient outcomes.
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Affiliation(s)
- Elisa De Paolis
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Departmental Unit of Molecular and Genomic Diagnostics, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Alessia Perrucci
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Departmental Unit of Molecular and Genomic Diagnostics, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Claudia Marchetti
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Giovanni Scambia
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Andrea Urbani
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Anna Fagotti
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Angelo Minucci
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Departmental Unit of Molecular and Genomic Diagnostics, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
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