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Bonini KE, Smith HS, Bonkowski ES, Berkman BE, Jamal L. Modern Family: An Ethical Justification for System-Led Contact of Relatives Eligible for Cascade Screening in the United States. Public Health Genomics 2024; 28:19-33. [PMID: 39522512 DOI: 10.1159/000541301] [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: 01/15/2024] [Accepted: 09/03/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Though genomic science has rapidly advanced, efforts to demonstrate the population-level utility of genomics have been slow to follow. It has long been argued that the family is an important unit of significance in genomics, yet it has been challenging to address this in clinical care. This is apparent in how hospital administrators and clinicians in the United States typically approach cascade screening, the process of notifying and offering genetic testing to at-risk relatives of a patient with a hereditary condition. The most common notification approach is proband-led contact, in which the index patient is responsible for communicating a health risk to their relatives. This model has been associated with suboptimal outcomes. In contrast, recent research has shown that system-led contact, in which healthcare or public health institutions initiate communication to relatives with the proband's consent, has been associated with increased clinical utility and acceptability. SUMMARY With the needs of hospital administrators and clinicians in mind, we revisit normative questions about the appropriate way to notify relatives about their potentially elevated risk of developing an actionable disease. We review evidence demonstrating that system-led direct contact of relatives is feasible and acceptable. We further argue that system-led contact of relatives eligible for cascade screening is ethically justified if these programs are designed with public input, have an opt-out provision, and are implemented for conditions that meet specific criteria which we propose in this article. KEY MESSAGES In this article, we emphasize the usefulness of public health ethics frameworks to inform the design of system-led contact programs. Beyond this, we make the case that such programs are necessary to realize the population utility of genomic medicine equitably.
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Affiliation(s)
- Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hadley Stevens Smith
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Center for Bioethics, Harvard Medical School, Boston, Massachusetts, USA
| | - Emily S Bonkowski
- Institute for Public Health Genetics, University of Washington School of Public Health, Seattle, Washington, USA
- Center for Pediatric Neurological Disease Research, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Benjamin E Berkman
- Department of Bioethics, National Institutes of Health, Bethesda, Maryland, USA
- National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Leila Jamal
- Department of Bioethics, National Institutes of Health, Bethesda, Maryland, USA
- Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
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Jones LK, Campbell-Salome G, Walters NL, Brangan A, Morgan KM, Tricou EP, Lindsey Mills ZT, McGowan MP, Gidding SS, Johns AM, Kirchner HL, Rahm AK, Sturm AC. IMPACT-FH Study for Implementing Innovative Family Communication and Cascade Testing Strategies for Familial Hypercholesterolemia. JACC. ADVANCES 2024; 3:101198. [PMID: 39238848 PMCID: PMC11375316 DOI: 10.1016/j.jacadv.2024.101198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/11/2024] [Accepted: 06/18/2024] [Indexed: 09/07/2024]
Abstract
Background Relatives of probands diagnosed with familial hypercholesterolemia (FH) should undergo cascade testing for FH. Objectives The purpose of this study was to evaluate probands' choices of innovative strategies to communicate their FH result with relatives and facilitate cascade testing uptake. Methods Probands with an FH genetic result from the MyCode Community Health Initiative could choose to share their FH result with adult blood relatives via the Family and Healthcare Professional Packet (packet), family sharing and cascade chatbots (chatbot), and/or FH Outreach and Support Program (direct contact). Cascade testing uptake was measured as reported completion of genetic or cholesterol testing. Generalized estimating equations models were used to identify factors associated with testing. Results One hundred seventy five probands received an FH result, median age was 58.9 (IQR: 44.9-69.3), and 58.9% were female. Probands shared information about 1,915 adult and 163 minor relatives (11.9 relatives per proband). Seventy percent of probands (121/175) selected at least one strategy for at least one adult relative. An average of 1.2 strategies was selected per adult relative. Cascade testing was completed for 26.6% (144/541) of adults with at least one strategy selected, 2.4% (33/1,374) of adults without a strategy selected, and 25.2% (41/163) of minor relatives. Factors associated with increased cascade testing uptake were selection of at least one strategy (6.32 higher odds), specifically, selection of direct contact (16.78 higher odds). Conclusions Strategies implemented improved FH cascade testing uptake compared to previous estimates and in families where no strategy was selected. Overall uptake remains insufficient, which can be attributed to probands reluctance to select a strategy for many relatives.
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Affiliation(s)
- Laney K Jones
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
- Heart and Vascular Institute, Geisinger, Danville, Pennsylvania, USA
| | - Gemme Campbell-Salome
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
- Department of Population Health Sciences, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - Nicole L Walters
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - Andrew Brangan
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - Kelly M Morgan
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | | | - Zoe T Lindsey Mills
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | | | - Samuel S Gidding
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - Alicia M Johns
- Biostatistics Core, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - H Lester Kirchner
- Department of Population Health Sciences, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - Alanna Kulchak Rahm
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
| | - Amy C Sturm
- Department of Genomic Health, Research Institute, Geisinger, Danville, Pennsylvania, USA
- Heart and Vascular Institute, Geisinger, Danville, Pennsylvania, USA
- 23andMe, Sunnyvale, California, USA
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Birkenhead K, Sullivan D, Trumble C, Spinks C, Srinivasan S, Partington A, Elias L, Hespe CM, Fleming G, Li S, Calder M, Robertson E, Trent R, Sarkies MN. Implementation of a primary-tertiary shared care model to improve the detection of familial hypercholesterolaemia (FH): a mixed methods pre-post implementation study protocol. BMJ Open 2024; 14:e082699. [PMID: 38692720 PMCID: PMC11086381 DOI: 10.1136/bmjopen-2023-082699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/12/2024] [Indexed: 05/03/2024] Open
Abstract
INTRODUCTION Familial hypercholesterolaemia (FH) is an autosomal dominant inherited disorder of lipid metabolism and a preventable cause of premature cardiovascular disease. Current detection rates for this highly treatable condition are low. Early detection and management of FH can significantly reduce cardiac morbidity and mortality. This study aims to implement a primary-tertiary shared care model to improve detection rates for FH. The primary objective is to evaluate the implementation of a shared care model and support package for genetic testing of FH. This protocol describes the design and methods used to evaluate the implementation of the shared care model and support package to improve the detection of FH. METHODS AND ANALYSIS This mixed methods pre-post implementation study design will be used to evaluate increased detection rates for FH in the tertiary and primary care setting. The primary-tertiary shared care model will be implemented at NSW Health Pathology and Sydney Local Health District in NSW, Australia, over a 12-month period. Implementation of the shared care model will be evaluated using a modification of the implementation outcome taxonomy and will focus on the acceptability, evidence of delivery, appropriateness, feasibility, fidelity, implementation cost and timely initiation of the intervention. Quantitative pre-post and qualitative semistructured interview data will be collected. It is anticipated that data relating to at least 62 index patients will be collected over this period and a similar number obtained for the historical group for the quantitative data. We anticipate conducting approximately 20 interviews for the qualitative data. ETHICS AND DISSEMINATION Ethical approval has been granted by the ethics review committee (Royal Prince Alfred Hospital Zone) of the Sydney Local Health District (Protocol ID: X23-0239). Findings will be disseminated through peer-reviewed publications, conference presentations and an end-of-study research report to stakeholders.
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Affiliation(s)
- Karen Birkenhead
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Health Partners, Implementation Science Academy, Sydney, New South Wales, Australia
| | - David Sullivan
- Department of Chemical Pathology, NSW Health Pathology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
- Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Claire Trumble
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Catherine Spinks
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Shubha Srinivasan
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Westmead, New South Wales, Australia
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Andrew Partington
- Flinders Health and Medical Research Institute, Flinders University, Adelaide, South Australia, Australia
| | - Luke Elias
- FH Australasia Support Group, Sydney, New South Wales, Australia
| | - Charlotte Mary Hespe
- School of Medicine, The University of Notre Dame Australia, Sydney, New South Wales, Australia
| | - Gabrielle Fleming
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Stephen Li
- Core Pathology and Clinical Chemistry, NSW Health Pathology, Westmead Hospital, Sydney, New South Wales, Australia
| | - Madeline Calder
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Elizabeth Robertson
- Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Ronald Trent
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health District, Sydney, New South Wales, Australia
- Department of Medical Genomics, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Mitchell N Sarkies
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Health Partners, Implementation Science Academy, Sydney, New South Wales, Australia
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Lindberg LJ, Wadt KAW, Therkildsen C, Petersen HV. National Experiences from 30 Years of Provider-Mediated Cascade Testing in Lynch Syndrome Families-The Danish Model. Cancers (Basel) 2024; 16:1577. [PMID: 38672659 PMCID: PMC11048852 DOI: 10.3390/cancers16081577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/10/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Cascade genetic testing and surveillance reduce morbidity and mortality in Lynch syndrome. However, barriers to conveying information about genetic disorders within families result in low uptake of genetic testing. Provider-mediated interventions may increase uptake but raise legal and ethical concerns. We describe 30 years of national experience with cascade genetic testing combining family- and provider-mediated contact in Lynch syndrome families in the Danish Hereditary Non-Polyposis Colorectal Cancer (HNPCC) Register. We aimed to estimate the added value of information letters to family members in Lynch syndrome families (provider-mediated contact) compared to family members not receiving such letters and thus relying on family-mediated contact. National clinical practice for cascade genetic testing, encompassing infrastructure, legislation, acceptance, and management of the information letters, is also discussed. Cascade genetic testing resulted in 7.3 additional tests per family. Uptake of genetic testing was 54.4% after family-mediated and 64.9% after provider-mediated contact, corresponding to an odds ratio of 1.8 (p < 0.001). The uptake of genetic testing was highest in the first year after diagnosis of Lynch syndrome in the family, with 72.5% tested after provider-mediated contact. In conclusion, the Danish model combining family- and provider-mediated contact can increase the effect of cascade genetic testing.
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Affiliation(s)
- Lars Joachim Lindberg
- The Danish HNPCC Register, Gastrounit, Copenhagen University Hospital—Amager and Hvidovre, DK2650 Hvidovre, Denmark;
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK2200 Copenhagen N, Denmark;
| | - Karin A. W. Wadt
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK2200 Copenhagen N, Denmark;
- Department of Clinical Genetics, Rigshospitalet, DK2100 Copenhagen Ø, Denmark
| | - Christina Therkildsen
- The Danish HNPCC Register, Gastrounit, Copenhagen University Hospital—Amager and Hvidovre, DK2650 Hvidovre, Denmark;
| | - Helle Vendel Petersen
- Medical Department, Zealand University Hospital, DK4800 Nykøbing Falster, Denmark;
- Clinical Research Centre, Copenhagen University Hospital, DK2650 Hvidovre, Denmark
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Johnson C, Chen J, McGowan MP, Tricou E, Card M, Pettit AR, Klaiman T, Rader DJ, Volpp KG, Beidas RS. Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial. Implement Sci 2024; 19:30. [PMID: 38594685 PMCID: PMC11003060 DOI: 10.1186/s13012-024-01355-x] [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: 01/12/2024] [Accepted: 02/25/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is a heritable disorder affecting 1.3 million individuals in the USA. Eighty percent of people with FH are undiagnosed, particularly minoritized populations including Black or African American people, Asian or Asian American people, and women across racial groups. Family cascade screening is an evidence-based practice that can increase diagnosis and improve health outcomes but is rarely implemented in routine practice, representing an important care gap. In pilot work, we leveraged best practices from behavioral economics and implementation science-including mixed-methods contextual inquiry with clinicians, patients, and health system constituents-to co-design two patient-facing implementation strategies to address this care gap: (a) an automated health system-mediated strategy and (b) a nonprofit foundation-mediated strategy with contact from a foundation-employed care navigator. This trial will test the comparative effectiveness of these strategies on completion of cascade screening for relatives of individuals with FH, centering equitable reach. METHODS We will conduct a hybrid effectiveness-implementation type III randomized controlled trial testing the comparative effectiveness of two strategies for implementing cascade screening with 220 individuals with FH (i.e., probands) per arm identified from a large northeastern health system. The primary implementation outcome is reach, or the proportion of probands with at least one first-degree biological relative (parent, sibling, child) in the USA who is screened for FH through the study. Our secondary implementation outcomes include the number of relatives screened and the number of relatives meeting the American Heart Association criteria for FH. Our secondary clinical effectiveness outcome is post-trial proband cholesterol level. We will also use mixed methods to identify implementation strategy mechanisms for implementation strategy effectiveness while centering equity. DISCUSSION We will test two patient-facing implementation strategies harnessing insights from behavioral economics that were developed collaboratively with constituents. This trial will improve our understanding of how to implement evidence-based cascade screening for FH, which implementation strategies work, for whom, and why. Learnings from this trial can be used to equitably scale cascade screening programs for FH nationally and inform cascade screening implementation efforts for other genetic disorders. TRIAL REGISTRATION ClinicalTrials.gov, NCT05750667. Registered 15 February 2023-retrospectively registered, https://clinicaltrials.gov/study/NCT05750667 .
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Affiliation(s)
- Christina Johnson
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jinbo Chen
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary P McGowan
- Family Heart Foundation, Fernandina Beach, FL, USA
- Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | - Eric Tricou
- Family Heart Foundation, Fernandina Beach, FL, USA
| | - Mary Card
- Family Heart Foundation, Fernandina Beach, FL, USA
| | | | - Tamar Klaiman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel J Rader
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G Volpp
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, USA
- The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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Watts GF, Gidding SS, Hegele RA, Raal FJ, Sturm AC, Jones LK, Sarkies MN, Al-Rasadi K, Blom DJ, Daccord M, de Ferranti SD, Folco E, Libby P, Mata P, Nawawi HM, Ramaswami U, Ray KK, Stefanutti C, Yamashita S, Pang J, Thompson GR, Santos RD. International Atherosclerosis Society guidance for implementing best practice in the care of familial hypercholesterolaemia. Nat Rev Cardiol 2023; 20:845-869. [PMID: 37322181 DOI: 10.1038/s41569-023-00892-0] [Citation(s) in RCA: 99] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
This contemporary, international, evidence-informed guidance aims to achieve the greatest good for the greatest number of people with familial hypercholesterolaemia (FH) across different countries. FH, a family of monogenic defects in the hepatic LDL clearance pathway, is a preventable cause of premature coronary artery disease and death. Worldwide, 35 million people have FH, but most remain undiagnosed or undertreated. Current FH care is guided by a useful and diverse group of evidence-based guidelines, with some primarily directed at cholesterol management and some that are country-specific. However, none of these guidelines provides a comprehensive overview of FH care that includes both the lifelong components of clinical practice and strategies for implementation. Therefore, a group of international experts systematically developed this guidance to compile clinical strategies from existing evidence-based guidelines for the detection (screening, diagnosis, genetic testing and counselling) and management (risk stratification, treatment of adults or children with heterozygous or homozygous FH, therapy during pregnancy and use of apheresis) of patients with FH, update evidence-informed clinical recommendations, and develop and integrate consensus-based implementation strategies at the patient, provider and health-care system levels, with the aim of maximizing the potential benefit for at-risk patients and their families worldwide.
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Affiliation(s)
- Gerald F Watts
- School of Medicine, University of Western Australia, Perth, WA, Australia.
- Departments of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, WA, Australia.
| | | | - Robert A Hegele
- Department of Medicine and Robarts Research Institute, Schulich School of Medicine, Western University, London, ON, Canada
| | - Frederick J Raal
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Amy C Sturm
- Department of Genomic Health, Geisinger, Danville, PA, USA
- 23andMe, Sunnyvale, CA, USA
| | - Laney K Jones
- Department of Genomic Health, Geisinger, Danville, PA, USA
| | - Mitchell N Sarkies
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Khalid Al-Rasadi
- Medical Research Centre, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman
| | - Dirk J Blom
- Division of Lipidology and Cape Heart Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | | | | | | | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - Hapizah M Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
- Specialist Lipid and Coronary Risk Prevention Clinics, Hospital Al-Sultan Abdullah (HASA) and Clinical Training Centre, Puncak Alam and Sungai Buloh Campuses, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
| | - Uma Ramaswami
- Royal Free London NHS Foundation Trust, University College London, London, UK
| | - Kausik K Ray
- Imperial Centre for Cardiovascular Disease Prevention, Imperial College London, London, UK
| | - Claudia Stefanutti
- Department of Molecular Medicine, Extracorporeal Therapeutic Techniques Unit, Lipid Clinic and Atherosclerosis Prevention Centre, Regional Centre for Rare Diseases, Immunohematology and Transfusion Medicine, Umberto I Hospital, 'Sapienza' University of Rome, Rome, Italy
| | - Shizuya Yamashita
- Department of Cardiology, Rinku General Medical Center, Osaka, Japan
| | - Jing Pang
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | | | - Raul D Santos
- Lipid Clinic, Heart Institute (InCor), University of São Paulo, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
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Campbell-Salome G, Jones LK, Walters NL, Morgan KM, Brangan A, Ladd IG, McGowan MP, Wilemon K, Schmidlen TJ, Simmons E, Schwartz MLB, McMinn MN, Tricou E, Rahm AK, Ahmed CD, Sturm AC. Optimizing communication strategies and designing a comprehensive program to facilitate cascade testing for familial hypercholesterolemia. BMC Health Serv Res 2023; 23:340. [PMID: 37020233 PMCID: PMC10074725 DOI: 10.1186/s12913-023-09304-y] [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: 05/12/2022] [Accepted: 03/17/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND This project aimed to optimize communication strategies to support family communication about familial hypercholesterolemia (FH) and improve cascade testing uptake among at-risk relatives. Individuals and families with FH provided feedback on multiple strategies including: a family letter, digital tools, and direct contact. METHODS Feedback from participants was collected via dyadic interviews (n = 11) and surveys (n = 98) on communication strategies and their proposed implementation to improve cascade testing uptake. We conducted a thematic analysis to identify how to optimize each strategy. We categorized optimizations and their implementation within the project's healthcare system using a Traffic Light approach. RESULTS Thematic analysis resulted in four distinct suggested optimizations for each communication strategy and seven suggested optimizations that were suitable across all strategies. Four suggestions for developing a comprehensive cascade testing program, which would offer all optimized communication strategies also emerged. All optimized suggestions coded green (n = 21) were incorporated. Suggestions coded yellow (n = 12) were partially incorporated. Only two suggestions were coded red and could not be incorporated. CONCLUSIONS This project demonstrates how to collect and analyze stakeholder feedback for program design. We identified feasible suggested optimizations, resulting in communication strategies that are patient-informed and patient-centered. Optimized strategies were implemented in a comprehensive cascade testing program.
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Affiliation(s)
- Gemme Campbell-Salome
- Department of Genomic Health, Geisinger, , Danville, PA, USA.
- Department of Population Health Sciences, Geisinger, Danville, PA, USA.
| | - Laney K Jones
- Department of Genomic Health, Geisinger, , Danville, PA, USA
- Geisinger Heart and Vascular Institute, Geisinger, Danville, PA, USA
| | | | - Kelly M Morgan
- Department of Genomic Health, Geisinger, , Danville, PA, USA
| | - Andrew Brangan
- Department of Genomic Health, Geisinger, , Danville, PA, USA
| | - Ilene G Ladd
- Department of Genomic Health, Geisinger, , Danville, PA, USA
| | - Mary P McGowan
- The Family Heart Foundation, Pasadena, CA, USA
- Geisel School of Medicine at Dartmouth, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | | | | | | | - Marci L B Schwartz
- Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, ON, Canada
| | - Megan N McMinn
- Department of Genomic Health, Geisinger, , Danville, PA, USA
| | - Eric Tricou
- Department of Genomic Health, Geisinger, , Danville, PA, USA
| | - Alanna K Rahm
- Department of Genomic Health, Geisinger, , Danville, PA, USA
| | | | - Amy C Sturm
- Department of Genomic Health, Geisinger, , Danville, PA, USA
- Geisinger Heart and Vascular Institute, Geisinger, Danville, PA, USA
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Arrobas Velilla T, Brea Á, Valdivielso P. Implementation of a biochemical, clinical, and genetic screening programme for familial hypercholesterolemia in 26 centres in Spain: The ARIAN study. Front Genet 2022; 13:971651. [PMID: 36105085 PMCID: PMC9465084 DOI: 10.3389/fgene.2022.971651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Familial hypercholesterolemia (FH) is clearly underdiagnosed and undertreated. The aim of this present study is to assess the benefits of FH screening through a joint national program implemented between clinical laboratories and lipid units.Methods: All clinical laboratory tests from 1 January 2017 to 31 December 2018 were reviewed, and those with LDL cholesterol (LDL-C) levels >250 mg/dl were identified in subjects >18 years of age of both sexes. Once secondary causes had been ruled out, the treating physician was contacted and advised to refer the patient to an LU to perform the Dutch Lipid Clinic Network score and to request genetic testing if the score was ≥6 points. Next Generation Sequencing was used to analyse the promoter and coding DNA sequences of four genes associated with FH (LDLR, APOB, PCSK9, APOE) and two genes that have a clinical overlap with FH characteristics (LDLRAP1 and LIPA). A polygenic risk score based on 12 variants was also obtained.Results: Of the 3,827,513 patients analyzed in 26 centers, 6,765 had LDL-C levels >250 mg/dl. Having ruled out secondary causes and known cases of FH, 3,015 subjects were included, although only 1,205 treating physicians could be contacted. 635 patients were referred to an LU and genetic testing was requested for 153 of them. This resulted in a finding of sixty-seven pathogenic variants for FH, 66 in the LDLR gene and one in APOB. The polygenic risk score was found higher in those who had no pathogenic variant compared to those with a pathogenic variant.Conclusion: Despite its limitations, systematic collaboration between clinical laboratories and lipid units allows for the identification of large numbers of patients with a phenotypic or genetic diagnosis of FH, which will reduce their vascular risk. This activity should be part of the clinical routine.
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Affiliation(s)
- Teresa Arrobas Velilla
- Laboratorio de Nutrición y Riesgo Cardiovascular de Bioquímica Clínica, Unidad de Lípidos, Hospital Universitario Virgen de la Macarena, Sevilla, Spain
| | - Ángel Brea
- Servicio de Medicina Interna, Unidad de Lípidos, Hospital de San Pedro, Logroño, España
| | - Pedro Valdivielso
- Servicio de Medicina Interna, Unidad de Lípidos, Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, Málaga, Spain
- *Correspondence: Pedro Valdivielso,
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9
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Toft-Nielsen F, Emanuelsson F, Benn M. Familial Hypercholesterolemia Prevalence Among Ethnicities—Systematic Review and Meta-Analysis. Front Genet 2022; 13:840797. [PMID: 35186049 PMCID: PMC8850281 DOI: 10.3389/fgene.2022.840797] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/10/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Heterozygous familial hypercholesterolemia (FH) is a common genetic disorder leading to premature cardiovascular disease and death as a result of lifelong high plasma low-density lipoprotein cholesterol levels, if not treated early in life. The prevalence of FH varies between countries because of founder effects, use of different diagnostic criteria, and screening strategies. However, little is known about differences in FH prevalence according to ethnicity. We aimed to investigate the ethnic distribution of FH in diverse populations and estimate the prevalence of FH according to ethnicity. Methods: We performed a systematic review and meta-analysis, searching PubMed and Web of Science for studies presenting data on the prevalence of heterozygous FH among different ethnicities in non-founder populations. Studies with more than 100 individuals, relevant data on prevalence, ethnicity, and using the Dutch Lipid Clinical Network Criteria, Simon Broome, Making Early Diagnosis Prevents Early Death, genetic screening, or comparable diagnostic criteria were considered eligible for inclusion. Results: Eleven general population studies and two patient studies were included in a systematic review and 11 general population studies in a random-effects meta-analysis. The overall pooled FH prevalence was 0.33% or 1:303 in 1,169,879 individuals (95% confidence interval: 0.26–0:40%; 1:385–1:250). Included studies presented data on six ethnicities: black, Latino, white, Asian, brown, and mixed/other. Pooled prevalence was estimated for each group. The highest prevalence observed was 0.52% or 1:192 among blacks (0.34–0.69%; 1:294–1:145) and 0.48% or 1:208 among browns (0.31–0.74%; 1:323–1:135) while the lowest pooled prevalence was 0.25% or 1:400 among Asians (0.15–0.35; 1:500–1:286). The prevalence was 0.37% or 1:270 among Latino (0.24–0.69%; 1:417–1:145), 0.31% or 1:323 among white (0.24–0.41%; 1:417–1:244), and 0.32% or 1:313 among mixed/other individuals (0.13–0.52%; 1:769–1:192). Conclusion: The estimated FH prevalence displays a variation across ethnicity, ranging from 0.25% (1:400) to 0.52% (1:192), with the highest prevalence seen among the black and brown and the lowest among the Asian individuals. The differences observed suggest that targeted screening among subpopulations may increase the identification of cases and thus the opportunity for prevention.
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Affiliation(s)
- Frida Toft-Nielsen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Frida Emanuelsson
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Marianne Benn
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- *Correspondence: Marianne Benn,
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