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Cragun D, Dean M, Baker D, Kelley M, Hooker G, Weidner A, Hunt P, Pal T. The Development and Evaluation of Novel Patient Educational Material for a Variant of Uncertain Significance (VUS) Result in Hereditary Cancer Genes. Curr Oncol 2024; 31:3361-3378. [PMID: 38920739 PMCID: PMC11202617 DOI: 10.3390/curroncol31060256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/30/2024] [Accepted: 06/12/2024] [Indexed: 06/27/2024] Open
Abstract
A Variant of Uncertain Significance (VUS) is a difference in the DNA sequence with uncertain consequences for gene function. A VUS in a hereditary cancer gene should not change medical care, yet some patients undergo medical procedures based on their VUS result, highlighting the unmet educational needs among patients and healthcare providers. To address this need, we developed, evaluated, and refined novel educational materials to explain that while VUS results do not change medical care, it remains important to share any personal or family history of cancer with family members given that their personal and family medical history can guide their cancer risk management. We began by reviewing the prior literature and transcripts from interviews with six individuals with a VUS result to identify content and design considerations to incorporate into educational materials. We then gathered feedback to improve materials via a focus group of multidisciplinary experts and multiple rounds of semi-structured interviews with individuals with a VUS result. Themes for how to improve content, visuals, and usefulness were used to refine the materials. In the final round of interviews with an additional 10 individuals with a VUS result, materials were described as relatable, useful, factual, and easy to navigate, and also increased their understanding of cancer gene VUS results.
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Affiliation(s)
- Deborah Cragun
- College of Public Health, University of South Florida, Tampa, FL 33620, USA
| | - Marleah Dean
- Department of Communication, University of South Florida, Tampa, FL 33620, USA
- Outcomes & Behavior Program, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - David Baker
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Meghan Kelley
- Morsani College of Medicine, University of South Florida, Tampa, FL 33620, USA
| | - Gillian Hooker
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Anne Weidner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Paige Hunt
- College of Public Health, University of South Florida, Tampa, FL 33620, USA
| | - Tuya Pal
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
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2
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Hehmeyer KN, Zierhut H, Dedrick R, Dean M, Schwarting K, Bellia KS, Cragun D. The development and preliminary evaluation of the Genetic Counseling Skills Checklist. J Genet Couns 2024; 33:578-591. [PMID: 37529972 DOI: 10.1002/jgc4.1758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 08/03/2023]
Abstract
Genetic counseling (GC) relies on communication to help people understand and adapt to genetic contributions of disease, and there is need for a practical and reliable method of comprehensively documenting GC communication skills without intensive coding. To this end, we created a novel process measure called the Genetic Counseling Skills Checklist (GCSC), utilizing previously validated measures, communication/counseling frameworks, and prior research findings. A multistage iterative process was used to develop, evaluate, and modify the GCSC to improve its clarity, usability, and content validity. To assess interrater reliability, randomly assigned, untrained individuals (i.e., coders) used the GCSC version 3 to code multiple simulated GC sessions. Average measures intraclass correlation coefficients (ICCs) were calculated for each of the 8 GCSC process categories using one-way, random effects models. After relatively minor modifications to the GCSC, two pairs of experienced coders used GCSC version 4 to independently code additional GC sessions and Cohen's Kappa coefficients (κ) were calculated to assess interrater reliability for each process category. The GCSC contains five to eight items within each category and demonstrates good content validity given its ability to capture nearly all GC skills that genetic counselors reported using in a prior qualitative study. Interrater reliability of GCSC version 3 among coders with limited experience was moderate or good for 6 out of the 8 process categories as evidenced by ICCs ranging from 0.55 to 0.86. Average interrater reliability of GCSC version 4 among one pair of experienced coders was strong for all eight process categories (κ ranging from 0.82 to 0.94); among the second pair of experienced coders scores were strong for six categories (κ ranging from 0.80 to 0.87) and moderate for two categories (κ of 0.77 and 0.78). The results suggest the need for training and experience to assure adequate interrater reliability across GCSC coders. Future work is needed to create a formalized training program for coders, complete a larger study to further validate the measure, and use the GCSC to document variability in skills used across providers and sessions.
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Affiliation(s)
| | - Heather Zierhut
- Department of Genetics, Cell Biology, and Development, University of Minnesota - Twin Cities, Minneapolis, Minnesota, USA
| | - Robert Dedrick
- Department of Educational and Psychological Studies, College of Education, University of South Florida, Tampa, Florida, USA
| | - Marleah Dean
- Department of Communication, University of South Florida, Tampa, Florida, USA
- Health Outcomes & Behavior Program, Moffitt Cancer Center, Tampa, Florida, USA
| | | | - Katie Sullivan Bellia
- Orlando Health Winnie Palmer Hospital Center for Maternal Fetal Medicine, Orlando, Florida, USA
| | - Deborah Cragun
- College of Public Health, University of South Florida, Tampa, Florida, USA
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Pederson V, Rietzler J, Freeman A, Petty EM. Picture this: Evaluating the efficacy of genetic counseling visual aids. J Genet Couns 2024. [PMID: 38251422 DOI: 10.1002/jgc4.1862] [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: 05/19/2023] [Revised: 12/10/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024]
Abstract
Visual aids have been validated as effective tools for educating patients in a variety of medical settings. However, research exploring the efficacy and potential benefit of genetic counseling visual aids is lacking. To begin to address this gap, this study assessed participant knowledge of genetic counseling concepts after viewing either visual or non-visual educational content. Participants were recruited from the general population using the crowdsourcing platform Mechanical Turk. Wilcoxon rank-sum tests were carried out to evaluate differences in knowledge survey scores between the visual and non-visual groups, and Poisson regression models were fitted to evaluate these differences across a variety of demographic backgrounds. The visual group had equal or higher scores than the non-visual group across all analyses. The difference in group scores was statistically significant for autosomal recessive inheritance knowledge scores (p < 0.05). In addition, this difference was approaching significance for higher-level knowledge scores (p = 0.05) and total knowledge scores in individuals who have not completed post-secondary education (p = 0.05). These results indicate that visual aids improve knowledge of specific genetic counseling concepts such as inheritance patterns; the education of which is often integral to genetic counseling. These results also indicate that visual aids may facilitate a deeper understanding of genetic counseling concepts and may be particularly valuable for individuals with lower educational backgrounds. Together, the results of this study support the inclusion of visual aids in genetic counseling education to help improve patient understanding and the accessibility of genetic healthcare information.
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Affiliation(s)
- Viviane Pederson
- Master of Genetic Counseling Program, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | | | - Abigail Freeman
- Neurology Genetics, University of Wisconsin, UW Health, Madison, Wisconsin, USA
| | - Elizabeth M Petty
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
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Cragun DL, Hunt PP, Dean M, Weidner A, Shields AK, Tezak A, Pal T. Applying the framework for developing and evaluating complex interventions to increase family communication about hereditary cancer. PEC INNOVATION 2023; 2:100133. [PMID: 37214492 PMCID: PMC10194404 DOI: 10.1016/j.pecinn.2023.100133] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 05/24/2023]
Abstract
Objective Evaluate an intervention to increase family communication (FC) of positive hereditary cancer test results using the Framework for Developing and Evaluating Complex Interventions (FDECI). Methods We developed 'programme theory' during the FDECI development phase by aligning intervention components with behavior change techniques (BCTs) and theoretical factors expected to improve FC. During the feasibility phase, we obtained feedback from 12 stakeholder interviews. Results Intervention components aligned with a total of 14 unique BCTs for which prior evidence links the BCT to theoretical factors that influence behavior change. Constructive stakeholder feedback included: more information desired, rewording to support autonomy by highlighting options, and improvements to navigation, visuals, and audio. Positive comments included: comprehensiveness of materials, modeling of conversations, and usefulness of the materials for helping a person prepare to share positive test results. Conclusion The first FDECI phases were helpful for improving the intervention and planning our ongoing effectiveness and future implementation phases. Innovation Our application of the FDECI is novel, including plans to test our 'programme theory' using coincidence analysis (CNA) to determine who accesses which intervention materials, how utilizing certain materials impact the aligned theoretical factors, and whether these in turn make a difference in the behavioral outcome.
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Affiliation(s)
- Deborah L. Cragun
- University of South Florida, College of Public Health, Tampa, FL, United States of America
| | - Paige Phillips Hunt
- University of South Florida, College of Public Health, Tampa, FL, United States of America
| | - Marleah Dean
- University of South Florida, Department of Communication, Tampa, FL; Health Outcomes & Behavior Program, Moffitt Cancer Center, Tampa, FL, United States of America
- Moffitt Cancer Center, Health Outcomes & Behavior Program, Tampa, FL, United States of America
| | - Anne Weidner
- Vanderbilt University Medical Center, Department of Medicine; Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
| | - Andrea K. Shields
- University of South Florida, College of Public Health, Tampa, FL, United States of America
| | - Ann Tezak
- Vanderbilt University Medical Center, Department of Medicine; Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
| | - Tuya Pal
- Vanderbilt University Medical Center, Department of Medicine; Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
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Frijstein MM, Hamers SL, van Driel WJ, Bleiker EMA, van der Kolk L, Sijstermans R, Lok CAR. Effects of a pre-visit online information tool about genetic counselling for ovarian cancer patients, a randomized controlled trial. PATIENT EDUCATION AND COUNSELING 2023; 113:107786. [PMID: 37148840 DOI: 10.1016/j.pec.2023.107786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/28/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023]
Abstract
OBJECTIVE In the Netherlands, patients with ovarian cancer are offered genetic testing. Pre-test preparation may help counseling patients. The aim of this study was to determine if use of a web-based intervention, leads to more effective genetic counseling of ovarian cancer patients. METHODS Between 2016 and 2018, 127 ovarian cancer patients referred for genetic counseling in our hospital participated in this trial. 104 Patients were analyzed. All patients filled out questionnaires pre- and post-counseling. The intervention group also completed a questionnaire after visiting an online tool. Length of consultation, patients' satisfaction, knowledge, anxiety, depression and distress were compared before and after counselling. RESULTS The intervention group had the same level of knowledge compared to the counseling group, but at an earlier point in time. They were satisfied with the intervention (86%) and better prepared for counseling (66%). The intervention did not lead to shorter consultations. No differences in levels of anxiety, depression, distress and satisfaction were observed. CONCLUSION Although consultation length was unaffected, the improvements in knowledge after online education and patients satisfaction indicates that this tool can be an effective addition to genetic counseling. PRACTICE IMPLICATIONS Use of an educational tool may lead to a more effective, personalized way of genetic counselling and enables shared decision making.
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Affiliation(s)
- M M Frijstein
- Department of Gynaecologic Oncology, Centre of Gynaecologic Oncology Amsterdam, the Netherlands
| | - S L Hamers
- Department of Gynaecologic Oncology, Centre of Gynaecologic Oncology Amsterdam, the Netherlands
| | - W J van Driel
- Department of Gynaecologic Oncology, Centre of Gynaecologic Oncology Amsterdam, the Netherlands
| | - E M A Bleiker
- Division of Psychosocial Research & Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - L van der Kolk
- Department of Clinical Genetics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - R Sijstermans
- Division of Informatics and Automatisation, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - C A R Lok
- Department of Gynaecologic Oncology, Centre of Gynaecologic Oncology Amsterdam, the Netherlands.
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Kohut K, Morton K, Turner L, Shepherd J, Fenerty V, Woods L, Grimmett C, Eccles DM, Foster C. Patient decision support resources inform decisions about cancer susceptibility genetic testing and risk management: a systematic review of patient impact and experience. FRONTIERS IN HEALTH SERVICES 2023; 3:1092816. [PMID: 37395995 PMCID: PMC10311450 DOI: 10.3389/frhs.2023.1092816] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/26/2023] [Indexed: 07/04/2023]
Abstract
Background Patients with genetic cancer susceptibility are presented with complex management options involving difficult decisions, for example about genetic testing, treatment, screening and risk-reducing surgery/medications. This review sought to explore the experience of patients using decision support resources in this context, and the impact on decision-making outcomes. Methods Systematic review of quantitative, qualitative and mixed-methods studies involving adults with or without cancer who used a decision support resource pre- or post-genetic test for any cancer susceptibility. To gather a broad view of existing resources and gaps for development, digital or paper-based patient resources were included and not limited to decision aids. Narrative synthesis was used to summarise patient impact and experience. Results Thirty-six publications describing 27 resources were included. Heterogeneity of resources and outcome measurements highlighted the multiple modes of resource delivery and personal tailoring acceptable to and valued by patients. Impact on cognitive, emotional, and behavioural outcomes was mixed, but mainly positive. Findings suggested clear potential for quality patient-facing resources to be acceptable and useful. Conclusions Decision support resources about genetic cancer susceptibility are likely useful to support decision-making, but should be co-designed with patients according to evidence-based frameworks. More research is needed to study impact and outcomes, particularly in terms of longer term follow-up to identify whether patients follow through on decisions and whether any increased distress is transient. Innovative, streamlined resources are needed to scale up delivery of genetic cancer susceptibility testing for patients with cancer in mainstream oncology clinics. Tailored patient-facing decision aids should also be made available to patients identified as carriers of a pathogenic gene variant that increases future cancer risks, to complement traditional genetic counselling. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020220460, identifier: CRD42020220460.
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Affiliation(s)
- Kelly Kohut
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
- Clinical Genetics, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Kate Morton
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
| | - Lesley Turner
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
| | - Jonathan Shepherd
- Southampton Health Technology Assessments Centre, University of Southampton, Southampton, United Kingdom
| | - Vicky Fenerty
- Engagement Services, University of Southampton Library, University of Southampton, Southampton, United Kingdom
| | - Lois Woods
- Southampton Health Technology Assessments Centre, University of Southampton, Southampton, United Kingdom
| | - Chloe Grimmett
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
| | - Diana M. Eccles
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Claire Foster
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
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Sebastin M, Odgis JA, Suckiel SA, Bonini KE, Di Biase M, Brown K, Marathe P, Kelly NR, Ramos MA, Rodriguez JE, Aguiñiga KL, Lopez J, Maria E, Rodriguez MA, Yelton NM, Cunningham-Rundles C, Gallagher K, McDonald TV, McGoldrick PE, Robinson M, Rubinstein A, Shulman LH, Wolf SM, Yozawitz E, Zinberg RE, Abul-Husn NS, Bauman LJ, Diaz GA, Ferket BS, Greally JM, Jobanputra V, Gelb BD, Horowitz CR, Kenny EE, Wasserstein MP. The TeleKidSeq pilot study: incorporating telehealth into clinical care of children from diverse backgrounds undergoing whole genome sequencing. Pilot Feasibility Stud 2023; 9:47. [PMID: 36949526 PMCID: PMC10031704 DOI: 10.1186/s40814-023-01259-5] [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: 10/18/2021] [Accepted: 02/02/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic forced healthcare institutions and many clinical research programs to adopt telehealth modalities in order to mitigate viral spread. With the expanded use of telehealth, there is the potential to increase access to genomic medicine to medically underserved populations, yet little is known about how best to communicate genomic results via telehealth while also ensuring equitable access. NYCKidSeq, a multi-institutional clinical genomics research program in New York City, launched the TeleKidSeq pilot study to assess alternative forms of genomic communication and telehealth service delivery models with families from medically underserved populations. METHODS We aim to enroll 496 participants between 0 and 21 years old to receive clinical genome sequencing. These individuals have a neurologic, cardiovascular, and/or immunologic disease. Participants will be English- or Spanish-speaking and predominantly from underrepresented groups who receive care in the New York metropolitan area. Prior to enrollment, participants will be randomized to either genetic counseling via videoconferencing with screen-sharing or genetic counseling via videoconferencing without screen-sharing. Using surveys administered at baseline, results disclosure, and 6-months post-results disclosure, we will evaluate the impact of the use of screen-sharing on participant understanding, satisfaction, and uptake of medical recommendations, as well as the psychological and socioeconomic implications of obtaining genome sequencing. Clinical utility, cost, and diagnostic yield of genome sequencing will also be assessed. DISCUSSION The TeleKidSeq pilot study will contribute to innovations in communicating genomic test results to diverse populations through telehealth technology. In conjunction with NYCKidSeq, this work will inform best practices for the implementation of genomic medicine in diverse, English- and Spanish-speaking populations.
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Affiliation(s)
- Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Jacqueline A Odgis
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine E Bonini
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Priya Marathe
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica E Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karla López Aguiñiga
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessenia Lopez
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Estefany Maria
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Michelle A Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole M Yelton
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charlotte Cunningham-Rundles
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katie Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Thomas V McDonald
- Department of Medicine (Cardiology), Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patricia E McGoldrick
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | | | - Arye Rubinstein
- Department of Allergy and Immunology, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa H Shulman
- Department of Pediatrics, Division of Developmental Medicine, Rose F. Kennedy Children's Evaluation & Rehabilitation Center at Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Steven M Wolf
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Elissa Yozawitz
- Isabelle Rapin Division of Child Neurology of the Saul R Korey Department of Neurology at Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Randi E Zinberg
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noura S Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laurie J Bauman
- Department of Pediatrics, Division of Ambulatory Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - George A Diaz
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bart S Ferket
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Bruce D Gelb
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA.
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Kellner RL, Agathis AZ, Moon JK, Garfinkle S, Appel J, Coakley BA. A new student-led digital drawing course: an initiative to bridge patient health literacy through medical illustrations. J Vis Commun Med 2022; 45:182-187. [DOI: 10.1080/17453054.2022.2061431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Affiliation(s)
| | - Alexandra Z. Agathis
- Department of Surgery, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James K. Moon
- Department of Surgery, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Suzanne Garfinkle
- Department of Medical Education, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacob Appel
- Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian A. Coakley
- Division of Pediatric Surgery, Department of Surgery, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Recchia G, Lawrence ACE, Capacchione L, Freeman ALJ. Making BRCA1 genetic test reports easier to understand through user-centered design: A randomized trial. Genet Med 2022; 24:1684-1696. [PMID: 35522238 DOI: 10.1016/j.gim.2022.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE Our objective was to apply a user-centered design process to identify phrases, graphics, and ways of communicating numerical risks that could be used to help patients understand their cancer risk and next steps on receiving BRCA1 genetic test results (positive, negative, and variants of uncertain significance). METHODS The first phase of the study, a user-centered design process, consisted of 4 rounds of interviews (N = 42, including 13 health care professionals and 16 patients having undergone BRCA testing). The second was a randomized, between-participants experimental study of 456 United Kingdom residents that compared the resulting reports to reports used in a United Kingdom national genomic laboratory hub. Outcomes were subjective and objective comprehension, communication efficacy, actionability, and perceived risk. RESULTS Subjective comprehension, communication efficacy, and actionability were all higher for the user-centered reports, with no difference in perceived risk. Comprehension of participants viewing user-centered reports was significantly better on 2 items, directionally (but not significantly) better on 6 items, and directionally (but not significantly) worse on 2 items. CONCLUSION Our results imply that user-centered design is a promising approach for developing materials about complex genetic risks. We suggest wordings that are likely to lead to improved comprehension when communicating BRCA-associated risks.
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Affiliation(s)
- Gabriel Recchia
- Winton Centre for Risk and Evidence Communication, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom.
| | - Alice C E Lawrence
- Winton Centre for Risk and Evidence Communication, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom
| | | | - Alexandra L J Freeman
- Winton Centre for Risk and Evidence Communication, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom
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Jull J, Köpke S, Smith M, Carley M, Finderup J, Rahn AC, Boland L, Dunn S, Dwyer AA, Kasper J, Kienlin SM, Légaré F, Lewis KB, Lyddiatt A, Rutherford C, Zhao J, Rader T, Graham ID, Stacey D. Decision coaching for people making healthcare decisions. Cochrane Database Syst Rev 2021; 11:CD013385. [PMID: 34749427 PMCID: PMC8575556 DOI: 10.1002/14651858.cd013385.pub2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Decision coaching is non-directive support delivered by a healthcare provider to help patients prepare to actively participate in making a health decision. 'Healthcare providers' are considered to be all people who are engaged in actions whose primary intent is to protect and improve health (e.g. nurses, doctors, pharmacists, social workers, health support workers such as peer health workers). Little is known about the effectiveness of decision coaching. OBJECTIVES To determine the effects of decision coaching (I) for people facing healthcare decisions for themselves or a family member (P) compared to (C) usual care or evidence-based intervention only, on outcomes (O) related to preparation for decision making, decisional needs and potential adverse effects. SEARCH METHODS We searched the Cochrane Library (Wiley), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid), CINAHL (Ebsco), Nursing and Allied Health Source (ProQuest), and Web of Science from database inception to June 2021. SELECTION CRITERIA We included randomised controlled trials (RCTs) where the intervention was provided to adults or children preparing to make a treatment or screening healthcare decision for themselves or a family member. Decision coaching was defined as: a) delivered individually by a healthcare provider who is trained or using a protocol; and b) providing non-directive support and preparing an adult or child to participate in a healthcare decision. Comparisons included usual care or an alternate intervention. There were no language restrictions. DATA COLLECTION AND ANALYSIS Two authors independently screened citations, assessed risk of bias, and extracted data on characteristics of the intervention(s) and outcomes. Any disagreements were resolved by discussion to reach consensus. We used the standardised mean difference (SMD) with 95% confidence intervals (CI) as the measures of treatment effect and, where possible, synthesised results using a random-effects model. If more than one study measured the same outcome using different tools, we used a random-effects model to calculate the standardised mean difference (SMD) and 95% CI. We presented outcomes in summary of findings tables and applied GRADE methods to rate the certainty of the evidence. MAIN RESULTS Out of 12,984 citations screened, we included 28 studies of decision coaching interventions alone or in combination with evidence-based information, involving 5509 adult participants (aged 18 to 85 years; 64% female, 52% white, 33% African-American/Black; 68% post-secondary education). The studies evaluated decision coaching used for a range of healthcare decisions (e.g. treatment decisions for cancer, menopause, mental illness, advancing kidney disease; screening decisions for cancer, genetic testing). Four of the 28 studies included three comparator arms. For decision coaching compared with usual care (n = 4 studies), we are uncertain if decision coaching compared with usual care improves any outcomes (i.e. preparation for decision making, decision self-confidence, knowledge, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching compared with evidence-based information only (n = 4 studies), there is low certainty-evidence that participants exposed to decision coaching may have little or no change in knowledge (SMD -0.23, 95% CI: -0.50 to 0.04; 3 studies, 406 participants). There is low certainty-evidence that participants exposed to decision coaching may have little or no change in anxiety, compared with evidence-based information. We are uncertain if decision coaching compared with evidence-based information improves other outcomes (i.e. decision self-confidence, feeling uninformed) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with usual care (n = 17 studies), there is low certainty-evidence that participants may have improved knowledge (SMD 9.3, 95% CI: 6.6 to 12.1; 5 studies, 1073 participants). We are uncertain if decision coaching plus evidence-based information compared with usual care improves other outcomes (i.e. preparation for decision making, decision self-confidence, feeling uninformed, unclear values, feeling unsupported, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with evidence-based information only (n = 7 studies), we are uncertain if decision coaching plus evidence-based information compared with evidence-based information only improves any outcomes (i.e. feeling uninformed, unclear values, feeling unsupported, knowledge, anxiety) as the certainty of the evidence was very low. AUTHORS' CONCLUSIONS Decision coaching may improve participants' knowledge when used with evidence-based information. Our findings do not indicate any significant adverse effects (e.g. decision regret, anxiety) with the use of decision coaching. It is not possible to establish strong conclusions for other outcomes. It is unclear if decision coaching always needs to be paired with evidence-informed information. Further research is needed to establish the effectiveness of decision coaching for a broader range of outcomes.
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Affiliation(s)
- Janet Jull
- School of Rehabilitation Therapy, Faculty of Health Sciences, Queen's University, Kingston, Canada
| | - Sascha Köpke
- Institute of Nursing Science, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | - Meg Carley
- Ottawa Hospital Research Institute, Ottawa, Canada
| | - Jeanette Finderup
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Centre for Patient Involvement, Aarhus University & the Central Denmark Region, Aarhus, Denmark
| | - Anne C Rahn
- Institute of Social Medicine and Epidemiology, Nursing Research Unit, University of Lubeck, Lubeck, Germany
| | - Laura Boland
- Integrated Knowledge Translation Research Network, The Ottawa Hospital Research Institute, Ottawa, Canada
- Western University, London, Canada
| | - Sandra Dunn
- BORN Ontario, CHEO Research Institute, School of Nursing, University of Ottawa, Ottawa, Canada
| | - Andrew A Dwyer
- William F. Connell School of Nursing, Boston University, Chestnut Hill, Massachusetts, USA
- Munn Center for Nursing Research, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jürgen Kasper
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Simone Maria Kienlin
- Faculty of Health Sciences, Department of Health and Caring Sciences, University of Tromsø, Tromsø, Norway
- The South-Eastern Norway Regional Health Authority, Department of Medicine and Healthcare, Hamar, Norway
| | - France Légaré
- Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Canada
| | - Krystina B Lewis
- School of Nursing, University of Ottawa, Ottawa, Canada
- University of Ottawa Heart Institute, University of Ottawa, Ottawa, Canada
| | | | - Claudia Rutherford
- School of Psychology, Quality of Life Office, University of Sydney, Camperdown, Australia
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Junqiang Zhao
- School of Nursing, University of Ottawa, Ottawa, Canada
| | - Tamara Rader
- Canadian Agency for Drugs and Technologies in Health (CADTH), Ottawa, Canada
| | - Ian D Graham
- Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Dawn Stacey
- School of Nursing, University of Ottawa, Ottawa, Canada
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11
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DiNucci A, Henrikson NB, Jonas MC, Basra S, Blasi P, Brown J, Esplin ED, Hassen D, Hao J, Hu Y, Klinger T, Ladd I, Leppig K, Lewis M, Meyer M, Ney S, Ramaprasan A, Romagnoli K, Salvati Z, Scrol A, Schwiter R, Sheridan L, Somasundaram B, Suwannarat P, Wagner JK, Rahm AK. Feasibility and Assessment of a Cascade Traceback Screening Program (FACTS): Protocol for a Multisite Study to Implement and Assess an Ovarian Cancer Traceback Cascade Testing Program. J Pers Med 2021; 11:543. [PMID: 34208188 PMCID: PMC8230764 DOI: 10.3390/jpm11060543] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/06/2021] [Accepted: 06/08/2021] [Indexed: 12/02/2022] Open
Abstract
Ovarian cancer (OVCA) patients may carry genes conferring cancer risk to biological family; however, fewer than one-quarter of patients receive genetic testing. "Traceback" cascade testing -outreach to potential probands and relatives-is a possible solution. This paper outlines a funded study (U01 CA240747-01A1) seeking to determine a Traceback program's feasibility, acceptability, effectiveness, and costs. This is a multisite prospective observational feasibility study across three integrated health systems. Informed by the Conceptual Model for Implementation Research, we will outline, implement, and evaluate the outcomes of an OVCA Traceback program. We will use standard legal research methodology to review genetic privacy statutes; engage key stakeholders in qualitative interviews to design communication strategies; employ descriptive statistics and regression analyses to evaluate the site differences in genetic testing and the OVCA Traceback testing; and assess program outcomes at the proband, family member, provider, system, and population levels. This study aims to determine a Traceback program's feasibility and acceptability in a real-world context. It will account for the myriad factors affecting implementation, including legal issues, organizational- and individual-level barriers and facilitators, communication issues, and program costs. Project results will inform how health care providers and systems can develop effective, practical, and sustainable Traceback programs.
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Affiliation(s)
- Anna DiNucci
- Mid-Atlantic Permanente Research Institute, 2101 E. Jefferson St, Rockville, MD 20852, USA; (A.D.); (M.C.J.); (S.B.); (J.B.); (B.S.); (P.S.)
| | - Nora B. Henrikson
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; (N.B.H.); (P.B.); (K.L.); (A.R.); (A.S.); (L.S.)
| | - M. Cabell Jonas
- Mid-Atlantic Permanente Research Institute, 2101 E. Jefferson St, Rockville, MD 20852, USA; (A.D.); (M.C.J.); (S.B.); (J.B.); (B.S.); (P.S.)
| | - Sundeep Basra
- Mid-Atlantic Permanente Research Institute, 2101 E. Jefferson St, Rockville, MD 20852, USA; (A.D.); (M.C.J.); (S.B.); (J.B.); (B.S.); (P.S.)
| | - Paula Blasi
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; (N.B.H.); (P.B.); (K.L.); (A.R.); (A.S.); (L.S.)
| | - Jennifer Brown
- Mid-Atlantic Permanente Research Institute, 2101 E. Jefferson St, Rockville, MD 20852, USA; (A.D.); (M.C.J.); (S.B.); (J.B.); (B.S.); (P.S.)
| | - Edward D. Esplin
- Invitae Corporation, 1400 16th St, San Francisco, CA 94103, USA;
| | - Dina Hassen
- Geisinger Department of Population Health Sciences, 100 N. Academy Ave, Danville, PA 17822, USA; (D.H.); (Y.H.)
| | - Jing Hao
- Geisinger Department of Epidemiology and Health Services Research, 100 N. Academy Ave, Danville, PA 17822, USA;
| | - Yirui Hu
- Geisinger Department of Population Health Sciences, 100 N. Academy Ave, Danville, PA 17822, USA; (D.H.); (Y.H.)
| | - Tracey Klinger
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Ilene Ladd
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Kathleen Leppig
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; (N.B.H.); (P.B.); (K.L.); (A.R.); (A.S.); (L.S.)
| | - Meredith Lewis
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Michelle Meyer
- Geisinger, Center for Translational Bioethics & Health Care Policy, 100 N. Academy Ave, Danville, PA 17822, USA; (M.M.); (J.K.W.)
| | - Steven Ney
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Arvind Ramaprasan
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; (N.B.H.); (P.B.); (K.L.); (A.R.); (A.S.); (L.S.)
| | - Katrina Romagnoli
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Zachary Salvati
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Aaron Scrol
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; (N.B.H.); (P.B.); (K.L.); (A.R.); (A.S.); (L.S.)
| | - Rachel Schwiter
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
| | - Leigh Sheridan
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; (N.B.H.); (P.B.); (K.L.); (A.R.); (A.S.); (L.S.)
| | - Brinda Somasundaram
- Mid-Atlantic Permanente Research Institute, 2101 E. Jefferson St, Rockville, MD 20852, USA; (A.D.); (M.C.J.); (S.B.); (J.B.); (B.S.); (P.S.)
| | - Pim Suwannarat
- Mid-Atlantic Permanente Research Institute, 2101 E. Jefferson St, Rockville, MD 20852, USA; (A.D.); (M.C.J.); (S.B.); (J.B.); (B.S.); (P.S.)
| | - Jennifer K. Wagner
- Geisinger, Center for Translational Bioethics & Health Care Policy, 100 N. Academy Ave, Danville, PA 17822, USA; (M.M.); (J.K.W.)
| | - Alanna K. Rahm
- Geisinger Genomic Medicine Institute, 100 N. Academy Ave, Danville, PA 17822, USA; (T.K.); (I.L.); (M.L.); (S.N.); (K.R.); (Z.S.); (R.S.)
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12
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Pozzar RA, Hong F, Xiong N, Stopfer JE, Nayak MM, Underhill-Blazey M. Knowledge and psychosocial impact of genetic counseling and multigene panel testing among individuals with ovarian cancer. Fam Cancer 2021; 21:35-47. [PMID: 33751319 DOI: 10.1007/s10689-021-00240-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/25/2021] [Indexed: 11/29/2022]
Abstract
In a sample of individuals with ovarian cancer, we aimed to (a) identify factors associated with the psychosocial impact of genetic counseling and multigene panel testing, (b) identify factors associated with cancer genetics knowledge, and (c) summarize patient-reported recommendations to improve the genetic counseling and multigene panel testing process. Eligible participants in this secondary analysis of quantitative and qualitative survey data were English-speaking adults with ovarian cancer. Psychosocial impact was assessed using the Multidimensional Impact of Cancer Risk Assessment (MICRA) questionnaire. Knowledge of cancer genetics was assessed using the KnowGene scale. Significant predictors of MICRA and KnowGene scores were identified using multiple regression. Open-ended survey item responses were analyzed using conventional content analysis. Eighty-seven participants met eligibility criteria. A positive genetic test result was associated with greater adverse psychosocial impact (B = 1.13, p = 0.002). Older age (B = - 0.07, p = 0.044) and being a member of a minority racial or ethnic group (B = - 3.075, p = 0.033) were associated with lower knowledge, while a personal history of at least one other type of cancer (B = 1.975, p = 0.015) was associated with higher knowledge. In open-ended item responses, participants wanted clinicians to assist with family communication, improve result disclosure, and enhance patient and family understanding of results. A subset of individuals with ovarian cancer who receive a positive genetic test result may be at risk for adverse psychosocial outcomes. Tailored cancer genetics education is necessary to promote the equitable uptake of targeted ovarian cancer treatment and risk-reducing therapies. Interventions to enhance patient-clinician communication in this setting are a research priority.
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Affiliation(s)
- Rachel A Pozzar
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
| | - Fangxin Hong
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Niya Xiong
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Jill E Stopfer
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Manan M Nayak
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Meghan Underhill-Blazey
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.,University of Rochester, 601 Elmwood Ave., Rochester, NY, 14642, USA
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