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Cragun D, Salvati ZM, Schneider JL, Burnett-Hartman AN, Epstein MM, Hunter JE, Liang SY, Lowery J, Lu CY, Pawloski PA, Schlieder V, Sharaf RN, Williams MS, Rahm AK. Identifying factors and causal chains associated with optimal implementation of Lynch syndrome tumor screening: An application of coincidence analysis. Genet Med 2024; 26:101201. [PMID: 38953292 DOI: 10.1016/j.gim.2024.101201] [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: 12/23/2023] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/03/2024] Open
Abstract
PURPOSE This study compared Lynch syndrome universal tumor screening (UTS) across multiple health systems (some of which had 2 or more distinct UTS programs) to understand multilevel factors that may affect the successful implementation of complex programs. METHODS Data from 66 stakeholder interviews were used to conduct multivalue coincidence analysis and identify key factors that consistently make a difference in whether UTS programs were implemented and optimized at the system level. RESULTS The selected coincidence analysis model revealed combinations of conditions that distinguish 4 optimized UTS programs, 10 nonoptimized programs, and 4 systems with no program. Fully optimized UTS programs had both a maintenance champion and a positive inner setting. Two independent paths were unique to nonoptimized programs: (1) positive attitudes and a mixed inner setting or (2) limited planning and engaging among stakeholders. Negative views about UTS evidence or lack of knowledge about UTS led to a lack of planning and engaging, which subsequently prevented program implementation. CONCLUSION The model improved our understanding of program implementation in health care systems and informed the creation of a toolkit to guide UTS implementation, optimization, and changes. Our findings and toolkit may serve as a use case to increase the successful implementation of other complex precision health programs.
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Affiliation(s)
- Deborah Cragun
- College of Public Health, University of South Florida, Tampa, FL
| | | | | | | | - Mara M Epstein
- Division of Health Systems Science, University of Massachusetts Chan Medical School, Worcester, MA
| | - Jessica Ezzell Hunter
- Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, NC
| | - Su-Ying Liang
- Palo Alto Medical Research Foundation, Sutter Health, Palo Alto, CA
| | - Jan Lowery
- University of Colorado Cancer Center, University of Colorado, Aurora, CO
| | - Christine Y Lu
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | | | | | - Ravi N Sharaf
- Population Health Sciences, Weill Cornell Medicine, New York, NY
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Limoges J, Halkoaho A, Laaksonen M, Karwal M. Developing leadership competencies for genomics integration through globally networked learning and education. Front Med (Lausanne) 2024; 11:1404741. [PMID: 39188877 PMCID: PMC11345132 DOI: 10.3389/fmed.2024.1404741] [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: 03/21/2024] [Accepted: 07/29/2024] [Indexed: 08/28/2024] Open
Abstract
Aim To describe the implementation and evaluation of an education strategy called the globally networked learning-genomics (GNL-G) used in Master's courses in Canada and Finland. The study focused on the feasibility and effectiveness of GNL-G in developing leadership competencies for integrating genomics into practice. Methods Interpretive description qualitative methodology was used to explore how GNL-G, global exchanges and assignments standardized with the Assessment of Strategies to Integrate Genomics in Nursing (ASIGN) tool influenced competency development. The Reporting Item Standards for Education and its Evaluation in Genomics (RISE2 Genomics) framework guided the design, implementation, evaluation, and reporting of GNL-G. Data included one-to-one interviews, written assignments, and reflections. Results Interviews and assignment data from three cohorts of students for a total of ten Canadian and 11 Finnish master's students participated in this study. The ASIGN Tool played a crucial role in facilitating students' analysis of their practice context and the development of leadership strategies. Participation in GNL-G enhanced students' confidence to lead efforts to integrate genomics, irrespective of their genomics expertise. Engagement with global peers emphasized the importance of incorporating equity, ethics, and social justice into leadership strategies for genomics integration. Conclusion The GNL-G strategy enhanced leadership competencies for genomics integration in graduate students from Canada and Finland. The ASIGN Tool and global peer collaboration highlight the importance of innovative educational methods in preparing leaders for the complexities of genomics in healthcare.
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Affiliation(s)
- Jacqueline Limoges
- Faculty of Health Disciplines, Athabasca University, Athabasca, AB, Canada
| | - Arja Halkoaho
- School of Health Care and Social Services Education and R&D, Tampere University of Applied Sciences, Tampere, Finland
| | - Mari Laaksonen
- School of Health Care and Social Services Education and R&D, Tampere University of Applied Sciences, Tampere, Finland
| | - Muskaan Karwal
- Faculty of Health Disciplines, Athabasca University, Athabasca, AB, Canada
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3
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Kneifati-Hayek JZ, Zachariah T, Ahn W, Khan A, Kiryluk K, Mohan S, Weng C, Gharavi AG, Nestor JG. Bridging the Gap in Genomic Implementation: Identifying User Needs for Precision Nephrology. Kidney Int Rep 2024; 9:2420-2431. [PMID: 39156149 PMCID: PMC11328575 DOI: 10.1016/j.ekir.2024.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 08/20/2024] Open
Abstract
Introduction Genomic medicine holds transformative potential for personalized nephrology care; however, its clinical integration poses challenges. Automated clinical decision support (CDS) systems in the electronic health record (EHR) offer a promising solution but have shown limited impact. This study aims to glean practical insights into nephrologists' challenges using genomic resources, informing precision nephrology decision support tools. Methods We conducted an anonymous electronic survey among US nephrologists from January 19, 2021 to May 19, 2021, guided by the Consolidated Framework for Implementation Research. It assessed practice characteristics, genomic resource utilization, attitudes, perceived knowledge, self-efficacy, and factors influencing genetic testing decisions. Survey links were primarily shared with National Kidney Foundation members. Results We analyzed 319 surveys, with most respondents specializing in adult nephrology. Although respondents generally acknowledged the clinical use of genomic resources, varying levels of perceived knowledge and self-efficacy were evident regarding precision nephrology workflows. Barriers to genetic testing included cost/insurance coverage and limited genomics experience. Conclusion The study illuminates specific hurdles nephrologists face using genomic resources. The findings are a valuable contribution to genomic implementation research, highlighting the significance of developing tailored interventions to support clinicians in using genomic resources effectively. These findings can guide the future development of CDS systems in the EHR. Addressing unmet informational and workflow support needs can enhance the integration of genomics into clinical practice, advancing personalized nephrology care and improving kidney disease outcomes. Further research should focus on interventions promoting seamless precision nephrology care integration.
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Affiliation(s)
| | - Teena Zachariah
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Wooin Ahn
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, USA
| | - Ali G. Gharavi
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
- Institute for Genomic Medicine, Columbia University, Hammer Health Sciences, New York, USA
| | - Jordan G. Nestor
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
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Allen CG, Hunt K, Jackson A, Baierl J, McMahon L, Judge D. Applying the R = MC 2 implementation science heuristic to assess the impact of readiness on reach and implementation of a population-wide genomic screening program. J Genet Couns 2024; 33:815-821. [PMID: 37732417 PMCID: PMC10954584 DOI: 10.1002/jgc4.1775] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/30/2023] [Accepted: 08/14/2023] [Indexed: 09/22/2023]
Abstract
Population-wide genomic screening for genes that have high penetrance and clinical actionability enhances the opportunity to identify individuals at risk for developing hereditary conditions. Organizational readiness has been shown to influence the likelihood of successful implementation of complex initiatives such as the integration of population-wide genomic screening in clinical settings. We use the organizational readiness heuristic R = MC2 to better understand three factors that influence readiness for implementation of In Our DNA SC, a population-wide genomic screening program: motivation to implement, general capacity of an organization, and innovation-specific capacities. We then assessed the influence of these readiness factors on implementation outcomes of reach (measured through enrollment rate) and implementation (measured through the number of DNA samples collected). Data were collected pre-implementation and captured during the three-month pilot phase of the In Our DNA SC program. We collected administrative data from the electronic health record and quantitatively captured elements of readiness through surveys distributed to provider champions and clinical administrative champions at the 10 sites implementing the population-wide genomic screening program. We facilitated innovation-specific capacity through training offered at each site, as well as technical assistance through weekly meetings with other implementing sites, and resources available to all staff. Forty percent of provider champions attended training and 80% of administrative champions attended training. An average of 3.7 additional staff were trained at each implementing site. Satisfaction with training positively influenced reach (β = 0.0121, p = 0.0271) but did not impact implementation. Provider engagement (innovation capabilities) was associated with reach (β = 0.0020, p = 0.0251) and clinical administrator engagement was associated with sample collection rate (β = 0.2599, β = 0.038). Readiness to change is considered one of the most important factors in understanding the potential opportunity for implementation. We found that motivation to adopt a population-wide genomic screening program positively impacted the program's reach. The type of champion influenced discrete outcomes, with provider champions positively impacting reach and administrative champions influencing implementation (assessed through sample collection rate). As genomics continues to be integrated into clinical practice, it will be important to understand the contextual factors that influence readiness for implementation and design support throughout the life-course of implementation to ensure the success of large-scale, complex initiatives.
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Affiliation(s)
- Caitlin G. Allen
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Kelly Hunt
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Amy Jackson
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Joseph Baierl
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lori McMahon
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Daniel Judge
- Medical University of South Carolina, Charleston, South Carolina, USA
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Skaar TC, Myers RA, Fillingim RB, Callaghan JT, Cicali E, Eadon MT, Elwood EN, Ginsburg GS, Lynch S, Nguyen KA, Obeng AO, Park H, Pratt VM, Rosenman M, Sadeghpour A, Shuman S, Singh R, Tillman EM, Volpi S, Wiisanen K, Winterstein AG, Horowitz CR, Voora D, Orlando L, Chakraborty H, Van Driest S, Peterson JF, Cavallari LA, Johnson JA, Dexter PR. Implementing a pragmatic clinical trial to tailor opioids for chronic pain on behalf of the IGNITE ADOPT PGx investigators. Clin Transl Sci 2024; 17:e70005. [PMID: 39177194 PMCID: PMC11342225 DOI: 10.1111/cts.70005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/15/2024] [Accepted: 08/04/2024] [Indexed: 08/24/2024] Open
Abstract
Chronic pain is a prevalent condition with enormous economic burden. Opioids such as tramadol, codeine, and hydrocodone are commonly used to treat chronic pain; these drugs are activated to more potent opioid receptor agonists by the hepatic CYP2D6 enzyme. Results from clinical studies and mechanistic understandings suggest that CYP2D6-guided therapy will improve pain control and reduce adverse drug events. However, CYP2D6 is rarely used in clinical practice due in part to the demand for additional clinical trial evidence. Thus, we designed the ADOPT-PGx (A Depression and Opioid Pragmatic Trial in Pharmacogenetics) chronic pain study, a multicenter, pragmatic, randomized controlled clinical trial, to assess the effect of CYP2D6 testing on pain management. The study enrolled 1048 participants who are taking or being considered for treatment with CYP2D6-impacted opioids for their chronic pain. Participants were randomized to receive immediate or delayed (by 6 months) genotyping of CYP2D6 with clinical decision support (CDS). CDS encouraged the providers to follow the CYP2D6-guided trial recommendations. The primary study outcome is the 3-month absolute change in the composite pain intensity score assessed using Patient-Reported Outcomes Measurement Information System (PROMIS) measures. Follow-up will be completed in July 2024. Herein, we describe the design of this trial along with challenges encountered during enrollment.
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Affiliation(s)
- Todd C. Skaar
- Division of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Rachel A. Myers
- Department of Medicine, Clinical Research UnitDuke University School of Medicine, Duke UniversityDurhamNorth CarolinaUSA
| | - Roger B. Fillingim
- Department of Community Dentistry and Behavioral ScienceUniversity of Florida College of DentistryGainesvilleFloridaUSA
| | - John T. Callaghan
- Division of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Emily Cicali
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
| | - Michael T. Eadon
- Division of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
- Division of NephrologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Erica N. Elwood
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
| | | | - Sheryl Lynch
- Division of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Khoa A. Nguyen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
| | - Aniwaa Owusu Obeng
- Pharmacy DepartmentMount Sinai Health SystemNew YorkNew YorkUSA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of Medicine, Division of General Internal MedicineIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Haesuk Park
- Department of Pharmaceutical Outcomes and PolicyCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
- Center for Drug Evaluation and SafetyUniversity of FloridaGainesvilleFloridaUSA
| | - Victoria M. Pratt
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Marc Rosenman
- Department of PediatricsIndiana University School of MedicineIndianapolisIndianaUSA
- Ann & Robert H. Lurie Children's Hospital of Chicago and Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
| | - Azita Sadeghpour
- Duke Precision Medicine Program, Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
| | | | - Rajbir Singh
- Department of MedicineMeharry Medical CollegeNashvilleTennesseeUSA
| | - Emma M. Tillman
- Division of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Simona Volpi
- Division of Genomic MedicineNational Human Genome Research InstituteBethesdaMarylandUSA
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
| | - Almut G. Winterstein
- Department of Pharmaceutical Outcomes and PolicyCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
- Center for Drug Evaluation and SafetyUniversity of FloridaGainesvilleFloridaUSA
| | - Carol R. Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount SinaiNew York CityNew YorkUSA
| | - Deepak Voora
- Duke Precision Medicine Program, Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
| | - Lori Orlando
- Duke Precision Medicine Program, Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
| | | | - Sara Van Driest
- Department of PediatricsVanderbilt University Medical CenterNashvilleTennesseeUSA
- Present address:
All of Us Research Program, Office of the DirectorNational Institutes of HealthBethesdaMarylandUSA
| | - Josh F. Peterson
- Department of Biomedical InformaticsVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Larisa A. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineCollege of Pharmacy, University of FloridaGainesvilleFloridaUSA
- Present address:
Center for Clinical and Translational ScienceColleges of Medicine and Pharmacy, The Ohio State UniversityColumbusOhioUSA
| | - Paul R. Dexter
- Department of MedicineIndiana University School of MedicineIndianapolisIndianaUSA
- Regenstrief Institute, Inc.IndianapolisIndianaUSA
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Pinto D, Jong MCD, Parameswaran R. Challenges in genetic screening for inherited endocrinopathy affecting the thyroid, parathyroid and adrenal glands in Singapore. ANNALS OF THE ACADEMY OF MEDICINE, SINGAPORE 2024; 53:253-263. [PMID: 38920182 DOI: 10.47102/annals-acadmedsg.202368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Significant progress has been made in the understand-ing of many human diseases, especially cancers, which has contributed to improved and increased survival. The Human Genome Project and The Cancer Genome Atlas project brought about a new era, with an understanding of inherited diseases at a molecular level, which subsequently facilitated the option of precision medicine. Precision medicine has helped tailor treatment decisions at an individual level, for instance in terms of surgical treatments or targeted therapies in advanced diseases. Despite the increasing advances in genetic-lead precision medicine, this has not translated into increasing uptake among patients. Reasons for this may be potential knowledge gaps among clinicians; on reasons for poor uptake of genetic testing such as for cultural, religious or personal beliefs; and on financial implications such as lack of support from insurance companies. In this review, we look at the current scenario of genetic screening for common inherited endocrine conditions affecting the thyroid, parathyroid and adrenal glands in Singapore, and the implications associated with it.
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Affiliation(s)
- Diluka Pinto
- Division of Endocrine Surgery, National University Hospital, Singapore
| | - Mechteld C de Jong
- Division of Endocrine Surgery, National University Hospital, Singapore
- Division of Endocrine Surgery, Leeds Teaching Hospitals NHS Trust, United Kingdom
| | - Rajeev Parameswaran
- Division of Endocrine Surgery, National University Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Friedrich B, Vindrola-Padros C, Lucassen AM, Patch C, Clarke A, Lakhanpaul M, Lewis C. "A very big challenge": a qualitative study to explore the early barriers and enablers to implementing a national genomic medicine service in England. Front Genet 2024; 14:1282034. [PMID: 38239852 PMCID: PMC10794539 DOI: 10.3389/fgene.2023.1282034] [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: 08/23/2023] [Accepted: 11/27/2023] [Indexed: 01/22/2024] Open
Abstract
Background: The Genomic Medicine Service (GMS) was launched in 2018 in England to create a step-change in the use of genomics in the NHS, including offering whole genome sequencing (WGS) as part of routine care. In this qualitative study on pediatric rare disease diagnosis, we used an implementation science framework to identify enablers and barriers which have influenced rollout. Methods: Semi-structured interviews were conducted with seven participants tasked with designing the GMS and 14 tasked with leading the implementation across the seven Genomic Medicine Service Alliances (GMSAs) and/or Genomic Laboratory Hubs (GLHs) between October 2021 and February 2022. Results: Overall, those involved in delivering the service strongly support its aims and ambitions. Challenges include: 1) concerns around the lack of trained and available workforce (clinicians and scientists) to seek consent from patients, interpret findings and communicate results; 2) the lack of a digital, coordinated infrastructure in place to support and standardize delivery with knock-on effects including onerous administrative aspects required to consent patients and order WGS tests; 3) that the "mainstreaming agenda", whilst considered important, encountered reluctance to become engaged from those who did not see it as a priority or viewed it as being politically rather than clinically driven; 4) the timelines and targets set for the GMS were perceived by some as too ambitious. Interviewees discussed local adaptations and strategies employed to address the various challenges they had encountered, including 1) capacity-building, 2) employing genomic associates and other support staff to support the consent and test ordering process, 3) having "genomic champions" embedded in mainstream services to impart knowledge and best practice, 4) enhancing collaboration between genetic and mainstream specialties, 5) building evaluation into the service and 6) co-creating services with patients and the public. Conclusion: Our findings highlight the challenges of implementing system-wide change within a complex healthcare system. Local as well as national solutions can undoubtedly address many of these barriers over time.
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Affiliation(s)
- Bettina Friedrich
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Cecilia Vindrola-Padros
- Department of Targeted Intervention and Rapid Research Evaluation and Appraisal Lab (RREAL), University College London, London, United Kingdom
| | - Anneke M. Lucassen
- Clinical Ethics and Law, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Centre for Personalised Medicine, The Wellcome Centre for Human Genetics, Oxford, United Kingdom
| | - Chris Patch
- Engagement and Society, Wellcome Connecting Science Wellcome Genome Campus, Hinxton, United Kingdom
| | - Angus Clarke
- Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Monica Lakhanpaul
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Celine Lewis
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
- London North Genomic Laboratory Hub, London, United Kingdom
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8
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Symecko H, Schnoll R, Beidas RS, Bekelman JE, Blumenthal D, Bauer AM, Gabriel P, Boisseau L, Doucette A, Powers J, Cappadocia J, McKenna DB, Richardville R, Cuff L, Offer R, Clement EG, Buttenheim AM, Asch DA, Rendle KA, Shelton RC, Fayanju OM, Wileyto EP, Plag M, Ware S, Shulman LN, Nathanson KL, Domchek SM. Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices. Implement Sci 2023; 18:57. [PMID: 37932730 PMCID: PMC10629034 DOI: 10.1186/s13012-023-01308-w] [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: 08/29/2023] [Accepted: 09/29/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (< 50 years) breast cancer, and a family history of ovarian cancer or male breast cancer. Genetic testing is underused overall, and rates are consistently lower among Black and Hispanic populations. Behavioral economics-informed implementation strategies, or nudges, directed towards patients and clinicians may increase the use of this evidence-based clinical practice. METHODS Patients meeting eligibility for germline genetic testing for breast and ovarian cancer will be identified using electronic phenotyping algorithms. A pragmatic cohort study will test three sequential strategies to promote genetic testing, two directed at patients and one directed at clinicians, deployed in the electronic health record (EHR) for patients in OB-GYN clinics across a diverse academic medical center. We will use rapid cycle approaches informed by relevant clinician and patient experiences, health equity, and behavioral economics to optimize and de-risk our strategies and methods before trial initiation. Step 1 will send patients messages through the health system patient portal. For non-responders, step 2 will reach out to patients via text message. For non-responders, Step 3 will contact patients' clinicians using a novel "pend and send" tool in the EHR. The primary implementation outcome is engagement with germline genetic testing for breast and ovarian cancer predisposition, defined as a scheduled genetic counseling appointment. Patient data collected through the EHR (e.g., race/ethnicity, geocoded address) will be examined as moderators of the impact of the strategies. DISCUSSION This study will be one of the first to sequentially examine the effects of patient- and clinician-directed strategies informed by behavioral economics on engagement with breast and ovarian cancer genetic testing. The pragmatic and sequential design will facilitate a large and diverse patient sample, allow for the assessment of incremental gains from different implementation strategies, and permit the assessment of moderators of strategy effectiveness. The findings may help determine the impact of low-cost, highly transportable implementation strategies that can be integrated into healthcare systems to improve the use of genomic medicine. TRIAL REGISTRATION ClinicalTrials.gov. NCT05721326. Registered February 10, 2023. https://www. CLINICALTRIALS gov/study/NCT05721326.
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Affiliation(s)
- Heather Symecko
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Robert Schnoll
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Justin E Bekelman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Daniel Blumenthal
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Anna-Marika Bauer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter Gabriel
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Leland Boisseau
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Abigail Doucette
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Jacquelyn Powers
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacqueline Cappadocia
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle B McKenna
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert Richardville
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren Cuff
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Offer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth G Clement
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alison M Buttenheim
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Asch
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Katharine A Rendle
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Rachel C Shelton
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Oluwadamilola M Fayanju
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - E Paul Wileyto
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Martina Plag
- Center for Healthcare Transformation and Innovation, Penn Medicine, Philadelphia, PA, USA
| | - Sue Ware
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Lawrence N Shulman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Katherine L Nathanson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Susan M Domchek
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA.
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9
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Shue SA, Rowe E, Bell LA, Damush T, DeLong A, Gowan T, Skaar T, Haggstrom D. Pharmacogenomics implementation across multiple clinic settings: a qualitative evaluation. Pharmacogenomics 2023; 24:881-893. [PMID: 37975236 DOI: 10.2217/pgs-2023-0179] [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] [Indexed: 11/19/2023] Open
Abstract
Aim: To advance clinical adoption and implementation of pharmacogenomics (PGx) testing, barriers and facilitators to these efforts must be understood. This study identified and examined barriers and facilitators to active implementation of a PGx program across multiple clinic settings in an academic healthcare system. Materials & methods: 28 contributors to the PGx implementation (e.g., clinical providers, informatics specialists) completed an interview to elicit their perceptions of the implementation. Results: Qualitative analysis identified several barriers and facilitators that spanned different stages of the implementation process. Specifically, unclear test payment mechanisms, decision support tool development, rigid workflows and provider education were noted as barriers to the PGx implementation. A multidisciplinary implementation team and leadership support emerged as key facilitators. Furthermore, participants also suggested strategies to overcome or maintain these factors. Conclusion: Assessing real-world implementation perceptions and suggested strategies from a range of implementation contributors facilitates a more comprehensive framework and best-practice guidelines for PGx implementation.
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Affiliation(s)
- Sarah A Shue
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
| | - Elizabeth Rowe
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Lauren A Bell
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Teresa Damush
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
- Division of General Internal Medicine & Geriatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Alexis DeLong
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Tayler Gowan
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Todd Skaar
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - David Haggstrom
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
- Division of General Internal Medicine & Geriatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
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10
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Kline E, Garrett AL, Brownstein C, Ziniel S, Payton E, Goldin A, Hoffman K, Chandler J, Weber S. Using social media listening to understand barriers to genomic medicine for those living with Ehlers-Danlos syndromes and hypermobility spectrum disorders. Health Expect 2023; 26:1524-1535. [PMID: 37062887 PMCID: PMC10349242 DOI: 10.1111/hex.13755] [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: 05/19/2022] [Revised: 12/12/2022] [Accepted: 03/03/2023] [Indexed: 04/18/2023] Open
Abstract
INTRODUCTION Technological improvements alone have not led to the integration of genomic medicine across a broad range of diseases and populations. For genomic medicine to be successfully implemented across specialties and conditions, the challenges patients and caregivers experience need to be identified using a multi-faceted understanding of the context in which these obstacles occur and how they are experienced. Individuals affected by rare conditions, like Ehlers-Danlos syndromes (EDS) and hypermobility spectrum disorders (HSD), express numerous challenges with accessing genomic medicine. Many patients living with rare diseases seek information and find comfort in online health communities. METHODS Social media conversations facilitated through online health communities are windows into patients' and caregivers' authentic experiences. To date, no other study has examined genomic medicine barriers by analysing the content of social media posts, yet the novel methodological approach of social media listening permits the analysis of virtual, organic conversations about lived experiences. RESULTS/CONCLUSIONS Using a modified social-ecological model, this study found that social-structural and interpersonal barriers most frequently impede access to genomic medicine for patients and caregivers living with EDS and HSD. PATIENT OR PUBLIC CONTRIBUTION Data were retrieved through social media conversations facilitated through publicly accessible health communities through Inspire, an online health community. Social media listening permits the analysis of virtual, organic conversations about lived experiences.
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Affiliation(s)
| | | | - Catherine Brownstein
- Division of Genetics and Genomics, Boston Children's Hospital, Department of Pediatrics, Harvard Medical SchoolBoston Children's HospitalBostonMassachusettsUSA
| | - Sonja Ziniel
- University of Colorado School of Medicine, Department of Pediatrics, Section of Hospital MedicineChildren's Hospital Colorado Anschutz Medical CampusAuroraColoradoUSA
| | | | | | | | | | - Shani Weber
- The Ehlers‐Danlos Society 1732New YorkNew YorkUSA
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11
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Milko LV, Berg JS. Age-Based Genomic Screening during Childhood: Ethical and Practical Considerations in Public Health Genomics Implementation. Int J Neonatal Screen 2023; 9:36. [PMID: 37489489 PMCID: PMC10366892 DOI: 10.3390/ijns9030036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/07/2023] [Accepted: 06/21/2023] [Indexed: 07/26/2023] Open
Abstract
Genomic sequencing offers an unprecedented opportunity to detect inherited variants that are implicated in rare Mendelian disorders, yet there are many challenges to overcome before this technology can routinely be applied in the healthy population. The age-based genomic screening (ABGS) approach is a novel alternative to genome-scale sequencing at birth that aims to provide highly actionable genetic information to parents over the course of their child's routine health care. ABGS utilizes an established metric to identify conditions with high clinical actionability and incorporates information about the age of onset and age of intervention to determine the optimal time to screen for any given condition. Ongoing partnerships with parents and providers are instrumental to the co-creation of educational resources and strategies to address potential implementation barriers. Implementation science frameworks and informative empirical data are used to evaluate strategies to establish this unique clinical application of targeted genomic sequencing. Ultimately, a pilot project conducted in primary care pediatrics clinics will assess patient and implementation outcomes, parent and provider perspectives, and the feasibility of ABGS. A validated, stakeholder-informed, and practical ABGS program will include hundreds of conditions that are actionable during infancy and childhood, setting the stage for a longitudinal implementation that can assess clinical and health economic outcomes.
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Affiliation(s)
- Laura V. Milko
- Department of Genetics, University of North Carolina at Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC 27599-7264, USA;
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12
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Ellis SD, Brooks JV, Birken SA, Morrow E, Hilbig ZS, Wulff-Burchfield E, Kinney AY, Ellerbeck EF. Determinants of targeted cancer therapy use in community oncology practice: a qualitative study using the Theoretical Domains Framework and Rummler-Brache process mapping. Implement Sci Commun 2023; 4:66. [PMID: 37308981 PMCID: PMC10259814 DOI: 10.1186/s43058-023-00441-3] [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: 03/11/2022] [Accepted: 05/25/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Precision medicine holds enormous potential to improve outcomes for cancer patients, offering improved rates of cancer control and quality of life. Not all patients who could benefit from targeted cancer therapy receive it, and some who may not benefit do receive targeted therapy. We sought to comprehensively identify determinants of targeted therapy use among community oncology programs, where most cancer patients receive their care. METHODS Guided by the Theoretical Domains Framework, we conducted semi-structured interviews with 24 community cancer care providers and mapped targeted therapy delivery across 11 cancer care delivery teams using a Rummler-Brache diagram. Transcripts were coded to the framework using template analysis, and inductive coding was used to identify key behaviors. Coding was revised until a consensus was reached. RESULTS Intention to deliver precision medicine was high across all participants interviewed, who also reported untenable knowledge demands. We identified distinctly different teams, processes, and determinants for (1) genomic test ordering and (2) delivery of targeted therapies. A key determinant of molecular testing was role alignment. The dominant expectation for oncologists to order and interpret genomic tests is at odds with their role as treatment decision-makers' and pathologists' typical role to stage tumors. Programs in which pathologists considered genomic test ordering as part of their staging responsibilities reported high and timely testing rates. Determinants of treatment delivery were contingent on resources and ability to offset delivery costs, which low- volume programs could not do. Rural programs faced additional treatment delivery challenges. CONCLUSIONS We identified novel determinants of targeted therapy delivery that potentially could be addressed through role re-alignment. Standardized, pathology-initiated genomic testing may prove fruitful in ensuring patients eligible for targeted therapy are identified, even if the care they need cannot be delivered at small and rural sites which may have distinct challenges in treatment delivery. Incorporating behavior specification and Rummler-Brache process mapping with determinant analysis may extend its usefulness beyond the identification of the need for contextual adaptation.
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Affiliation(s)
- Shellie D. Ellis
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
| | - Joanna Veazey Brooks
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
| | - Sarah A. Birken
- Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, NC 27101 USA
| | - Emily Morrow
- Kansas City Kansas Community College, 7250 State Ave., Kansas City, KS 66112 USA
| | - Zachary S. Hilbig
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
| | | | - Anita Y. Kinney
- Rutgers Cancer Institute of New Jersey, Rutgers University, 195 Little Albany St., New Brunswick, NJ 08901 USA
| | - Edward F. Ellerbeck
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
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13
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Alarcón Garavito GA, Moniz T, Déom N, Redin F, Pichini A, Vindrola-Padros C. The implementation of large-scale genomic screening or diagnostic programmes: A rapid evidence review. Eur J Hum Genet 2023; 31:282-295. [PMID: 36517584 PMCID: PMC9995480 DOI: 10.1038/s41431-022-01259-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/17/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022] Open
Abstract
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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Affiliation(s)
| | - Thomas Moniz
- Rapid Research Evaluation and Appraisal Lab (RREAL), University College London, 43-45 Foley Street, W1W 7TY, London, UK
| | - Noémie Déom
- Rapid Research Evaluation and Appraisal Lab (RREAL), University College London, 43-45 Foley Street, W1W 7TY, London, UK
| | - Federico Redin
- Rapid Research Evaluation and Appraisal Lab (RREAL), University College London, 43-45 Foley Street, W1W 7TY, London, UK
| | | | - Cecilia Vindrola-Padros
- Rapid Research Evaluation and Appraisal Lab (RREAL), University College London, 43-45 Foley Street, W1W 7TY, London, UK.
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14
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Lau-Min KS, McKenna D, Asher SB, Bardakjian T, Wollack C, Bleznuck J, Biros D, Anantharajah A, Clark DF, Condit C, Ebrahimzadeh JE, Long JM, Powers J, Raper A, Schoenbaum A, Feldman M, Steinfeld L, Tuteja S, VanZandbergen C, Domchek SM, Ritchie MD, Landgraf J, Chen J, Nathanson KL. Impact of integrating genomic data into the electronic health record on genetics care delivery. Genet Med 2022; 24:2338-2350. [PMID: 36107166 PMCID: PMC10176082 DOI: 10.1016/j.gim.2022.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 08/15/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Integrating genomic data into the electronic health record (EHR) is key for optimally delivering genomic medicine. METHODS The PennChart Genomics Initiative (PGI) at the University of Pennsylvania is a multidisciplinary collaborative that has successfully linked orders and results from genetic testing laboratories with discrete genetic data in the EHR. We quantified the use of the genomic data within the EHR, performed a time study with genetic counselors, and conducted key informant interviews with PGI members to evaluate the effect of the PGI's efforts on genetics care delivery. RESULTS The PGI has interfaced with 4 genetic testing laboratories, resulting in the creation of 420 unique computerized genetic testing orders that have been used 4073 times to date. In a time study of 96 genetic testing activities, EHR use was associated with significant reductions in time spent ordering (2 vs 8 minutes, P < .001) and managing (1 vs 5 minutes, P < .001) genetic results compared with the use of online laboratory-specific portals. In key informant interviews, multidisciplinary collaboration and institutional buy-in were identified as key ingredients for the PGI's success. CONCLUSION The PGI's efforts to integrate genomic medicine into the EHR have substantially streamlined the delivery of genomic medicine.
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Affiliation(s)
- Kelsey S Lau-Min
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Danielle McKenna
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephanie Byers Asher
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tanya Bardakjian
- Department of Neurology, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Colin Wollack
- Information Services, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Joseph Bleznuck
- Information Services, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Daniel Biros
- Information Services, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Arravinth Anantharajah
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Dana F Clark
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Courtney Condit
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jessica E Ebrahimzadeh
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jessica M Long
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jacquelyn Powers
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anna Raper
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anna Schoenbaum
- Information Services, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael Feldman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Susan M Domchek
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA; Abramson Cancer Center, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Marylyn D Ritchie
- Department of Genetics, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jeffrey Landgraf
- Information Services, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jessica Chen
- Information Services, Penn Medicine, University of Pennsylvania, Philadelphia, PA
| | - Katherine L Nathanson
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA; Abramson Cancer Center, Perelman School of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, PA.
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15
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Smith J, Braithwaite J, O'Brien TA, Smith S, Tyrrell VJ, Mould EVA, Long JC, Rapport F. The Voices of Stakeholders Involved in Precision Medicine: The Co-Design and Evaluation of Qualitative Indicators of Intervention Acceptability, Fidelity and Context in PRecISion Medicine for Children With Cancer in Australia. QUALITATIVE HEALTH RESEARCH 2022; 32:1865-1880. [PMID: 36066496 DOI: 10.1177/10497323221120501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
We report a novel approach of amalgamating implementation outcomes of acceptability and fidelity alongside context as a new way of qualitatively evaluating implementation outcomes and context of a precision medicine intervention. A rapid qualitative online proforma was co-designed with stakeholders and sent to a purposive sample of healthcare professionals involved in an early-phase clinical trial intervention. Data were analysed using Framework Analysis. A total of 24 out of 68 proformas were returned. Although some participants raised concerns about drug medication access issues, the main intervention was well accepted and understood across professional groups. Comprehension was enhanced through exposure to specialist multidisciplinary meeting arrangements. In conclusion, a rapid data collection tool and framework are now available to assess readily measurable, qualitative indicators of acceptability, fidelity of receipt and contextual fit within the dynamic precision medicine context.
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Affiliation(s)
- James Smith
- Centre for Healthcare Resilience and Implementation Science, 208044Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, 208044Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Tracey A O'Brien
- Faculty of Medicine, School of Women's and Children's Health, 7800University of New South Wales, Sydney, NSW, Australia
- Kids Cancer Centre, Sydney Children's Hospital, Randwick, NSW, Australia
| | - Stephanie Smith
- School of Population Health, 1649Curtin University, Perth, WA, Australia
- School of Nursing and Midwifery, Edith Cowan University, Perth, WA, Australia
- Perth Children's Hospital, Nedlands, WA, Australia
| | - Vanessa J Tyrrell
- Children's Cancer Institute, 188680Lowy Cancer Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Emily V A Mould
- Children's Cancer Institute, 188680Lowy Cancer Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Janet C Long
- Centre for Healthcare Resilience and Implementation Science, 208044Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Frances Rapport
- Centre for Healthcare Resilience and Implementation Science, 208044Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
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16
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Jones LK, Strande NT, Calvo EM, Chen J, Rodriguez G, McCormick CZ, Hallquist MLG, Savatt JM, Rocha H, Williams MS, Sturm AC, Buchanan AH, Glasgow RE, Martin CL, Rahm AK. A RE-AIM Framework Analysis of DNA-Based Population Screening: Using Implementation Science to Translate Research Into Practice in a Healthcare System. Front Genet 2022; 13:883073. [PMID: 35692820 PMCID: PMC9174580 DOI: 10.3389/fgene.2022.883073] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/04/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction: DNA-based population screening has been proposed as a public health solution to identify individuals at risk for serious health conditions who otherwise may not present for medical care. The clinical utility and public health impact of DNA-based population screening is a subject of active investigation. Geisinger, an integrated healthcare delivery system, was one of the first healthcare systems to implement DNA screening programs (MyCode Community Health Initiative (MyCode) and clinical DNA screening pilot) that leverage exome data to identify individuals at risk for developing conditions with potential clinical actionability. Here, we demonstrate the use of an implementation science framework, RE-AIM (Reach, Effectiveness, Adoption, Implementation and Maintenance), to conduct a post-hoc evaluation and report outcomes from these two programs to inform the potential impact of DNA-based population screening. Methods: Reach and Effectiveness outcomes were determined from the MyCode research program, while Adoption and Implementation outcomes were measured using the clinical DNA screening pilot. Reach was defined as the number of patients who were offered and consented to participate in MyCode. Effectiveness of DNA screening was measured by reviewing MyCode program publications and synthesizing findings from themes. Adoption was measured by the total number of DNA screening tests ordered by clinicians at the clinical pilot sites. Implementation was assessed by interviewing a subset of clinical pilot clinicians about the deployment of and recommended adaptations to the pilot that could inform future program dissemination. Results: Reach: As of August 2020, 68% (215,078/316,612) of individuals approached to participate in the MyCode program consented. Effectiveness: Published evidence reported from MyCode demonstrates that DNA screening identifies at-risk individuals more comprehensively than clinical ascertainment based on phenotypes or personal/family history. Adoption: From July 2018 to June 2021, a total of 1,026 clinical DNA screening tests were ordered by 60 clinicians across the three pilot clinic sites. Implementation: Interviews with 14 clinicians practicing at the pilot clinic sites revealed motivation to provide patients with DNA screening results and yielded future implementation strategies. Conclusion: The RE-AIM framework offers a pragmatic solution to organize, analyze, and report outcomes across differently resourced and designed precision health programs that include genomic sequencing and return of clinically actionable genomic information.
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Affiliation(s)
- Laney K. Jones
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
- Heart and Vascular Institute, Geisinger, Danville, PA, United States
| | - Natasha T. Strande
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States
| | - Evan M. Calvo
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
| | - Jingheng Chen
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | | | | | | | - Juliann M. Savatt
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States
| | - Heather Rocha
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
| | - Marc S. Williams
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
| | - Amy C. Sturm
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
- Heart and Vascular Institute, Geisinger, Danville, PA, United States
| | - Adam H. Buchanan
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
| | - Russell E. Glasgow
- University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Christa L. Martin
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States
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17
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Rahman B, Lamb A, Protheroe A, Shah K, Solomons J, Williams J, Ormondroyd E. Genomic sequencing in oncology: Considerations for integration in routine cancer care. Eur J Cancer Care (Engl) 2022; 31:e13584. [PMID: 35383404 PMCID: PMC9285419 DOI: 10.1111/ecc.13584] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/15/2021] [Accepted: 03/28/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Belinda Rahman
- Radcliffe Department of MedicineUniversity of OxfordOxfordUK
- NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Alastair Lamb
- Nuffield Department of Surgical SciencesUniversity of OxfordOxfordUK
- Department of UrologyOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Andrew Protheroe
- Oxford Cancer and Haematology CentreOxford University Hospitals NHS Foundation TrustOxfordUK
- Department of OncologyUniversity of OxfordOxfordUK
| | - Ketan Shah
- Oxford Cancer and Haematology CentreOxford University Hospitals NHS Foundation TrustOxfordUK
- Department of OncologyUniversity of OxfordOxfordUK
| | - Joyce Solomons
- Oxford Centre for Genomic MedicineOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Jonathan Williams
- Oxford Medical Genetics LaboratoriesOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Elizabeth Ormondroyd
- Radcliffe Department of MedicineUniversity of OxfordOxfordUK
- NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxford University Hospitals NHS Foundation TrustOxfordUK
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18
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Healthcare Professionals’ Attitudes toward Rapid Whole Genome Sequencing in Pediatric Acute Care. CHILDREN 2022; 9:children9030357. [PMID: 35327729 PMCID: PMC8947383 DOI: 10.3390/children9030357] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/24/2022] [Accepted: 02/24/2022] [Indexed: 11/16/2022]
Abstract
We aimed to characterize knowledge and attitudes about rapid whole genome sequencing (rWGS) implementation of a broad constituency of healthcare professionals at hospitals participating in a statewide initiative to implement rWGS for hospitalized neonates and children up to 18 years of age meeting clinical criteria for testing. We surveyed 307 healthcare professionals from eight hospitals about their knowledge and attitudes regarding rWGS. We examined survey internal reliability using exploratory factor analysis and associations between respondent characteristics and attitudes toward rWGS with linear regression. We thematically analyzed free-text responses. Views about rWGS implementation in respondents’ own setting and respondents’ personal capability to implement rWGS were generally neutral (M = 3.44 (SD = 0.74); M = 3.30 (SD = 0.85), respectively). Views about the potential for rWGS in clinical practice were overall positive (M = 4.12 (SD = 0.57)). The degree of positivity of attitudes about rWGS was strongly influenced by perceived knowledge, clinical or non-clinical role, concerns about future insurance coverage for rWGS as a first-tier test, and future adverse impact of genomics health information on patients or families. We identified several actionable factors influencing attitudes toward rWGS of pediatric healthcare professionals. Expanded education and ongoing implementation research are needed for the full potential of rWGS in pediatrics to be realized.
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19
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Lau-Min KS, Varughese LA, Nelson MN, Cambareri C, Reddy NJ, Oyer RA, Teitelbaum UR, Tuteja S. Preemptive pharmacogenetic testing to guide chemotherapy dosing in patients with gastrointestinal malignancies: a qualitative study of barriers to implementation. BMC Cancer 2022; 22:47. [PMID: 34996412 PMCID: PMC8742388 DOI: 10.1186/s12885-022-09171-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 12/28/2021] [Indexed: 12/12/2022] Open
Abstract
Background Pharmacogenetic (PGx) testing for germline variants in the DPYD and UGT1A1 genes can be used to guide fluoropyrimidine and irinotecan dosing, respectively. Despite the known association between PGx variants and chemotherapy toxicity, preemptive testing prior to chemotherapy initiation is rarely performed in routine practice. Methods We conducted a qualitative study of oncology clinicians to identify barriers to using preemptive PGx testing to guide chemotherapy dosing in patients with gastrointestinal malignancies. Each participant completed a semi-structured interview informed by the Consolidated Framework for Implementation Research (CFIR). Interviews were analyzed using an inductive content analysis approach. Results Participants included sixteen medical oncologists and nine oncology pharmacists from one academic medical center and two community hospitals in Pennsylvania. Barriers to the use of preemptive PGx testing to guide chemotherapy dosing mapped to four CFIR domains: intervention characteristics, outer setting, inner setting, and characteristics of individuals. The most prominent themes included 1) a limited evidence base, 2) a cumbersome and lengthy testing process, and 3) a lack of insurance coverage for preemptive PGx testing. Additional barriers included clinician lack of knowledge, difficulty remembering to order PGx testing for eligible patients, challenges with PGx test interpretation, a questionable impact of preemptive PGx testing on clinical care, and a lack of alternative therapeutic options for some patients found to have actionable PGx variants. Conclusions Successful adoption of preemptive PGx-guided chemotherapy dosing in patients with gastrointestinal malignancies will require a multifaceted effort to demonstrate clinical effectiveness while addressing the contextual factors identified in this study. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09171-6.
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Affiliation(s)
- Kelsey S Lau-Min
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa A Varughese
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Smilow Center for Translational Research, University of Pennsylvania, 3400 Civic Center Boulevard, Bldg. 421 11th Floor, Room 143, Philadelphia, PA, 19104-5158, USA
| | | | - Christine Cambareri
- Department of Pharmacy, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Nandi J Reddy
- Ann B. Barshinger Cancer Institute, Penn Medicine at Lancaster General Health, Lancaster, PA, USA
| | - Randall A Oyer
- Ann B. Barshinger Cancer Institute, Penn Medicine at Lancaster General Health, Lancaster, PA, USA
| | - Ursina R Teitelbaum
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, Smilow Center for Translational Research, University of Pennsylvania, 3400 Civic Center Boulevard, Bldg. 421 11th Floor, Room 143, Philadelphia, PA, 19104-5158, USA.
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20
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Lewis C, Buchanan J, Clarke A, Clement E, Friedrich B, Hastings-Ward J, Hill M, Horn R, Lucassen AM, Patch C, Pickard A, Roberts L, Sanderson SC, Wynn SL, Vindrola-Padros C, Lakhanpaul M. Mixed-methods evaluation of the NHS Genomic Medicine Service for paediatric rare diseases: study protocol. NIHR OPEN RESEARCH 2021; 1:23. [PMID: 35098132 PMCID: PMC7612282 DOI: 10.3310/nihropenres.13236.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 11/09/2021] [Indexed: 11/22/2022]
Abstract
Background A new nationally commissioned NHS England Genomic Medicine Service (GMS) was recently established to deliver genomic testing with equity of access for patients affected by rare diseases and cancer. The overarching aim of this research is to evaluate the implementation of the GMS during its early years, identify barriers and enablers to successful implementation, and provide recommendations for practice. The focus will be on the use of genomic testing for paediatric rare diseases. Methods This will be a four-year mixed-methods research programme using clinic observations, interviews and surveys. Study 1 consists of qualitative interviews with designers/implementers of the GMS in Year 1 of the research programme, along with documentary analysis to understand the intended outcomes for the Service. These will be revisited in Year 4 to compare intended outcomes with what happened in practice, and to identify barriers and facilitators that were encountered along the way. Study 2 consists of clinic observations (pre-test counselling and results disclosure) to examine the interaction between health professionals and parents, along with follow-up interviews with both after each observation. Study 3 consists of a longitudinal survey with parents at two timepoints (time of testing and 12 months post-results) along with follow-up interviews, to examine parent-reported experiences and outcomes. Study 4 consists of qualitative interviews and a cross-sectional survey with medical specialists to identify preparedness, facilitators and challenges to mainstreaming genomic testing. The use of theory-based and pre-specified constructs will help generalise the findings and enable integration across the various sub-studies. Dissemination We will disseminate our results to policymakers as findings emerge, so any suggested changes to service provision can be considered in a timely manner. A workshop with key stakeholders will be held in Year 4 to develop and agree a set of recommendations for practice.
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Affiliation(s)
- Celine Lewis
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - James Buchanan
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford,, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Angus Clarke
- Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, UK
| | - Emma Clement
- Clinical Genetics and Genomic Medicine, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Bettina Friedrich
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
| | | | - Melissa Hill
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Genetics and Genomic Medicine, UCL GOS Institute of Child Health, London, UK
| | - Ruth Horn
- The Ethox Centre and the Wellcome Centre for Ethics and Humanities, Department of Population Health, University of Oxford, Oxford, UK
| | - Anneke M. Lucassen
- Clinical Ethics and Law, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Chris Patch
- Genomics England, Queen Mary University of London, London, UK
- Counselling, Society and Ethics Research, Wellcome Genome Campus, Cambridge, UK
| | | | | | | | - Sarah L. Wynn
- Unique – the Rare Chromosome Disorder Support Group, Oxted, UK
| | - Cecilia Vindrola-Padros
- Department of Targeted Intervention and Rapid Research Evaluation and Appraisal Lab (RREAL),, University College London, London, UK
| | - Monica Lakhanpaul
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
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21
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Tuteja S, Salloum RG, Elchynski AL, Smith DM, Rowe E, Blake KV, Limdi NA, Aquilante CL, Bates J, Beitelshees AL, Cipriani A, Duong BQ, Empey PE, Formea CM, Hicks JK, Mroz P, Oslin D, Pasternak AL, Petry N, Ramsey LB, Schlichte A, Swain SM, Ward KM, Wiisanen K, Skaar TC, Van Driest SL, Cavallari LH, Bishop JR. Multisite evaluation of institutional processes and implementation determinants for pharmacogenetic testing to guide antidepressant therapy. Clin Transl Sci 2021; 15:371-383. [PMID: 34562070 PMCID: PMC8841452 DOI: 10.1111/cts.13154] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 12/11/2022] Open
Abstract
There is growing interest in utilizing pharmacogenetic (PGx) testing to guide antidepressant use, but there is lack of clarity on how to implement testing into clinical practice. We administered two surveys at 17 sites that had implemented or were in the process of implementing PGx testing for antidepressants. Survey 1 collected data on the process and logistics of testing. Survey 2 asked sites to rank the importance of Consolidated Framework for Implementation Research (CFIR) constructs using best‐worst scaling choice experiments. Of the 17 sites, 13 had implemented testing and four were in the planning stage. Thirteen offered testing in the outpatient setting, and nine in both outpatient/inpatient settings. PGx tests were mainly ordered by psychiatry (92%) and primary care (69%) providers. CYP2C19 and CYP2D6 were the most commonly tested genes. The justification for antidepressants selected for PGx guidance was based on Clinical Pharmacogenetics Implementation Consortium guidelines (94%) and US Food and Drug Administration (FDA; 75.6%) guidance. Both institutional (53%) and commercial laboratories (53%) were used for testing. Sites varied on the methods for returning results to providers and patients. Sites were consistent in ranking CFIR constructs and identified patient needs/resources, leadership engagement, intervention knowledge/beliefs, evidence strength and quality, and the identification of champions as most important for implementation. Sites deployed similar implementation strategies and measured similar outcomes. The process of implementing PGx testing to guide antidepressant therapy varied across sites, but key drivers for successful implementation were similar and may help guide other institutions interested in providing PGx‐guided pharmacotherapy for antidepressant management.
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Affiliation(s)
- Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ramzi G Salloum
- University of Florida College of Medicine, Gainesville, Florida, USA
| | | | - D Max Smith
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Elizabeth Rowe
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Nita A Limdi
- University of Alabama School of Medicine, Birmingham, Alabama, USA
| | | | - Jill Bates
- Durham VA Healthcare System, Durham, North Carolina, USA
| | | | - Amber Cipriani
- University of North Carolina Medical Center, Chapel Hill, North Carolina, USA
| | | | - Philip E Empey
- University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania, USA
| | | | | | - Pawel Mroz
- University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - David Oslin
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Amy L Pasternak
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Natasha Petry
- North Dakota State University/Sanford Health, Fargo, North Dakota, USA
| | - Laura B Ramsey
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | | | - Sandra M Swain
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Kristen M Ward
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Kristin Wiisanen
- University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | | | - Jeffrey R Bishop
- University of Minnesota Medical School, Minneapolis, Minnesota, USA.,University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
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22
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Bright DR, Petry N, Roath E, Gibb T. Engaging pharmacogenomics in pain management and opioid selection. Pharmacogenomics 2021; 22:927-937. [PMID: 34521258 DOI: 10.2217/pgs-2021-0044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Opioid misuse and mismanagement has been a public health crisis for several years. Pharmacogenomics (PGx) has been proposed as another tool to enhance opioid selection and optimization, with recent studies demonstrating successful implementation and outcomes. However, broad engagement with PGx for opioid management is presently limited. The purpose of this article is to highlight a series of barriers to PGx implementation within the specific context of opioid management. Areas of advancement needed for more robust pharmacogenomic engagement with opioids will be discussed, including clinical and economic research needs, education and training needs, policy and public health considerations, as well as legal and ethical issues. Continuing efforts to address these issues may help to further operationalize PGx toward improving opioid use.
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Affiliation(s)
- David R Bright
- Department of Pharmaceutical Sciences, Ferris State University College of Pharmacy, 220 Ferris Dr, Big Rapids, MI 49307, USA
| | - Natasha Petry
- Department of Pharmacy Practice, College of Health Professions, North Dakota State University, PO Box 6050, Fargo, ND 58108, USA.,Sanford Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA
| | - Eric Roath
- SpartanNash, 1550 Gezon Parkway, Wyoming, MI 49509, USA
| | - Tyler Gibb
- Department of Medical Ethics, Humanities, & Law, Homer Stryker MD School of Medicine, Western Michigan University, 1000 Oakland Drive, Kalamazoo, MI 49008, USA
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23
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Learning from scaling up ultra-rapid genomic testing for critically ill children to a national level. NPJ Genom Med 2021; 6:5. [PMID: 33510162 PMCID: PMC7843635 DOI: 10.1038/s41525-020-00168-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 12/15/2020] [Indexed: 12/25/2022] Open
Abstract
In scaling up an ultra-rapid genomics program, we used implementation science principles to design and investigate influences on implementation and identify strategies required for sustainable “real-world” services. Interviews with key professionals revealed the importance of networks and relationship building, leadership, culture, and the relative advantage afforded by ultra-rapid genomics in the care of critically ill children. Although clinical geneticists focused on intervention characteristics and the fit with patient-centered care, intensivists emphasized the importance of access to knowledge, in particular from clinical geneticists. The relative advantage of ultra-rapid genomics and trust in consistent and transparent delivery were significant in creating engagement at initial implementation, with appropriate resourcing highlighted as important for longer term sustainability of implementation. Our findings demonstrate where common approaches can be used and, significantly, where there is a need to tailor support by professional role and implementation phase, to maximize the potential of ultra-rapid genomic testing to improve patient care.
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24
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MacRae CA, Deo RC, Shaw SY. Ecosystem Barriers to Innovation Adoption in Clinical Practice. Trends Mol Med 2020; 27:5-7. [PMID: 33293198 DOI: 10.1016/j.molmed.2020.11.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 11/13/2020] [Accepted: 11/16/2020] [Indexed: 12/28/2022]
Abstract
Despite increasing ability to understand and correct molecular derangements in disease, genomics and novel phenotypic assays are unevenly deployed in clinical practice. This has hampered translational research and our ability to identify clinically actionable subtypes of disease. Historic examples illustrate how the perspectives of stakeholders across the healthcare ecosystem can influence adoption of innovations in healthcare. Consideration of these factors, from discovery to implementation, can accelerate adoption of new molecular and digital phenotypes in a 'learning' healthcare ecosystem.
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Affiliation(s)
- Calum A MacRae
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Rahul C Deo
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Stanley Y Shaw
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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25
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Beans JA, Woodbury RB, Wark KA, Hiratsuka VY, Spicer P. Perspectives on Precision Medicine in a Tribally Managed Primary Care Setting. AJOB Empir Bioeth 2020; 11:246-256. [PMID: 32940567 PMCID: PMC7606746 DOI: 10.1080/23294515.2020.1817172] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
BACKGROUND Precision medicine (PM) research and clinical application is moving forward at a rapid pace. To ensure ethical inclusion of all populations in PM, in-depth understanding of diverse communities' views of PM research and PM implementation is necessary. METHODS Semi-structured interviews were conducted to explore perspectives on PM in a tribally managed healthcare organization. Thematic analysis was used to analyze data from 46 interviews. RESULTS Participants described gains in diagnostic efficiency, risk identification for preventable disease, and the advancement of population-specific biomedical research as key benefits of PM. Concerns expressed related to privacy risks associated with data-sharing, overpromising on PM, and managing patient expectations related to PM. Stakeholders encouraged PM implementation to be preceded by health education activities that leverage a range of communication strategies. CONCLUSION Perspectives described in this study may aid in and should be considered prior to implementation of PM in this and other healthcare systems, especially those serving diverse populations.
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Affiliation(s)
| | | | | | | | - Paul Spicer
- Department of Anthropology, University of Oklahoma, Norman, Oklahoma, USA
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26
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Kurnat-Thoma E. Educational and Ethical Considerations for Genetic Test Implementation Within Health Care Systems. NETWORK AND SYSTEMS MEDICINE 2020; 3:58-66. [PMID: 32676590 PMCID: PMC7357722 DOI: 10.1089/nsm.2019.0010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2020] [Indexed: 01/17/2023] Open
Abstract
Introduction: The precision medicine (PM) era presents unprecedented proliferation of genetic/genomic initiatives, information, and bioinformatic tools to enhance targeted molecular diagnosis and therapeutic treatments. As of February 29, 2020, the National Institutes of Health (NIH) National Center for Biotechnology Information (NCBI) Genetic Testing Registry contained 64,860 genetic tests for 12,268 conditions and 18,686 genes from 560 laboratories, and the Food and Drug Administration had 404 entries for pharmacogeneomic biomarkers used in drug labeling. Population-based research initiatives including NIH's All of Us and Veterans Affairs' Million Veteran Program, and the UK Biobank, combine use of genomic biorepositories with electronic medical records (i.e., National Human Genome Research Institute's [NHGRI's] electronic Medical Records and Genomics [eMERGE] Network). Learning health care systems are implementing clinical genomics screening programs and precision oncology programs. However, there are insufficient medical geneticists, nurse geneticists, and genetics counselors to implement expanding number of clinical genetic tests that are required for PM implementation. Methods: A scoping review of current (2014-2019) trends in U.S. genomic medicine translation, PM health care provider workforce education and training resources, and genomic clinical decision support (CDS) implementation tools was conducted. Results: Health care delivery institutions and systems are beginning to implement genetic tests that are driving PM, particularly in the areas of oncology, pharmacogenetics, obstetrics, and prenatal diagnostics. To ensure safe adoption and clinical translation of PM, health care systems have an ethical responsibility to ensure their providers and front-line staff are adequately prepared to order, use, and interpret genetic test information. Conclusion: There are a number of high-quality evidenced-based educational resources and CDS tools available. Strong partnerships between health care system leaders, front-line providers and staff coupled with reasonable goal setting can help drive PM translation interests.
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Affiliation(s)
- Emma Kurnat-Thoma
- Department of Intramural Research, DHHS/NIH/NINR, Bethesda, Maryland, USA
- School of Nursing and Health Studies, Georgetown University, Washington, District of Columbia, USA
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27
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McClaren BJ, Crellin E, Janinski M, Nisselle AE, Ng L, Metcalfe SA, Gaff CL. Preparing Medical Specialists for Genomic Medicine: Continuing Education Should Include Opportunities for Experiential Learning. Front Genet 2020; 11:151. [PMID: 32194628 PMCID: PMC7063730 DOI: 10.3389/fgene.2020.00151] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 02/10/2020] [Indexed: 12/30/2022] Open
Abstract
With the demand for genomic investigations increasing, medical specialists will need to, and are beginning to, practice genomic medicine. The need for medical specialists from diverse specialties to be ready to appropriately practice genomic medicine is widely recognised, but existing studies focus on single specialties or clinical settings. We explored continuing education needs in genomic medicine of a wide range of medical specialists (excluding genetic specialists) from across Australia. Interviews were conducted with 86 medical specialists in Australia from diverse medical specialties. Inductive content analysis categorized participants by career stage and genomics experience. Themes related to education needs were identified through constant comparison and discussion between authors of emerging concepts. Our findings show that participants believe that experiential learning in genomic medicine is necessary to develop the confidence and skills needed for clinical care. The main themes reported are: tailoring of education to the specialty and the individual; peer interactions contextualizes knowledge; experience will aid in developing confidence and skills. In fact, avenues of gaining experience may result in increased engagement with continuing education in genomic medicine as specialists are exposed to relevant applications in their clinical practice. Participants affirmed the need for continuing education in genomic medicine but identified that it would need to be tailored to the specialty and the individual: one size does not fit all, so a multifaceted approached is needed. Participants infrequently attended formal continuing education in genomic medicine. More commonly, they reported experiential learning by observation, case-review or interacting with a "genomics champion" in their specialty, which contextualized their knowledge. Medical specialists anticipate that genomic medicine will become part of their practice which could lessen demand on the specialist genetic workforce. They expect to look to experts within their own medical specialty who have gained genomics expertise for specific and contextualized support as they develop the skills and confidence to practice genomic medicine. These findings highlight the need to include opportunities for experiential learning in continuing education. Concepts identified in these interviews can be tested with a larger sample of medical specialists to ascertain representativeness.
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Affiliation(s)
- Belinda J. McClaren
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
| | - Erin Crellin
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
| | - Monika Janinski
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
| | - Amy E. Nisselle
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
| | - Larissa Ng
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
| | - Sylvia A. Metcalfe
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
| | - Clara L. Gaff
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Genomics in Society, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, VIC, Australia
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