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Kanbergs A, Rauh-Hain JA, Wilke RN. Differential Receipt of Genetic Services Among Patients With Gynecologic Cancer and Their Relatives: A Review of Challenges to Health Equity. Clin Obstet Gynecol 2024; 67:666-671. [PMID: 39331025 DOI: 10.1097/grf.0000000000000893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2024]
Abstract
Up to 14% of endometrial cancers and 23% of epithelial ovarian cancers are associated with genetic predispositions. Referral for genetic testing and counseling can significantly impact a patient's oncologic outcomes. However, significant disparities in genetic referral and testing exist within medically underserved and minority populations in the United States. These disparities in care and access to care are multifactorial, often involving patient-level, health care-level, and system-level factors. In this review, we focus on disparities in genetic testing among patients with ovarian and uterine cancer, and the missed opportunities for primary cancer prevention among their relatives.
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Affiliation(s)
- Alexa Kanbergs
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
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2
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Saylor KW, Fernandes EQ, Adams M, Paraghamian S, Shalowitz DI. Predictors of germline genetic testing referral and completion in ovarian cancer patients at a Comprehensive Cancer Center. Gynecol Oncol 2024; 186:53-60. [PMID: 38599112 PMCID: PMC11216855 DOI: 10.1016/j.ygyno.2024.03.028] [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: 02/02/2024] [Revised: 03/26/2024] [Accepted: 03/30/2024] [Indexed: 04/12/2024]
Abstract
OBJECTIVES To identify predictors of referral and completion of germline genetic testing among newly diagnosed ovarian cancer patients, with a focus on geographic social deprivation, oncologist-level practices, and time between diagnosis and completion of testing. METHODS Clinical and sociodemographic data were abstracted from medical records of patients newly diagnosed with ovarian cancer between 2014 and 2019 in the University of North Carolina Health System. Factors associated with referral for genetic counseling, completion of germline testing, and time between diagnosis and test results were identified using multivariable regression. RESULTS 307/459 (67%) patients were referred for genetic counseling and 285/459 (62%) completed testing. The predicted probability of test completion was 0.83 (95% CI: 0.77-0.88) for patients with a referral compared to 0.27 (95% CI: 0.18-0.35) for patients without a referral. The predicted probability of referral was 0.75 (95% CI: 0.69-0.82) for patients at the 25th percentile of ZIP code-level Social Deprivation Index (SDI) and 0.67 (0.60-0.74) for patients at the 75th percentile of SDI. Referral varied by oncologist, with predicted probabilities ranging from 0.47 (95% CI: 0.32-0.62) to 0.93 (95% CI: 0.85-1.00) across oncologists. The median time between diagnosis and test results was 137 days (IQR: 55-248 days). This interval decreased by a predicted 24.46 days per year (95% CI: 37.75-11.16). CONCLUSIONS We report relatively high germline testing and a promising trend in time from diagnosis to results, with variation by oncologist and patient factors. Automated referral, remote genetic counseling and sample collection, reduced out-of-pocket costs, and educational interventions should be explored.
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Affiliation(s)
- Katherine W Saylor
- Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, United States of America.
| | - Elizabeth Q Fernandes
- University of North Carolina School of Medicine, Chapel Hill, NC, United States of America
| | - Michael Adams
- Division of Pediatric Genetics and Metabolism, University of North Carolina School of Medicine, Chapel Hill, PA, United States of America
| | - Sarah Paraghamian
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, MA, United States of America
| | - David I Shalowitz
- West Michigan Cancer Center, Kalamazoo, MI, United States of America; Collaborative on Equity in Rural Cancer Care, Kalamazoo, MI, United States of America
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3
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Bednar EM, Harper B, Walsh MT, Rechis R, Bilbao M, Carr RL, Eppolito AL, Goedde T, Levin B, Mattie K, Morman NA, Rath K, Russ P, Siettmann JM, Warshal D, Wise E, Yobbi C, Lu KH. Implementation and outcome evaluations of a multi-site improvement program in cancer genetics. J Genet Couns 2023; 32:182-196. [PMID: 36117454 DOI: 10.1002/jgc4.1633] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 08/02/2022] [Accepted: 08/15/2022] [Indexed: 11/09/2022]
Abstract
Program evaluation can identify the successes and challenges of implementing clinical programs, which can inform future dissemination efforts. A cancer genetics improvement program, disseminated from the Lead Team's institution to five health systems (Participating Sites), was genetic counselor led, using virtual implementation facilitation to support Participating Sites' performance of quality improvement (QI) activities over several years. Program implementation and outcome evaluations were performed and included evaluation of program delivery and initial effects of the program on Participating Sites. A logic model guided evaluation of program implementation (inputs, activities, outputs, delivery/fidelity, and coverage/reach) and initial outcomes (short-term and intermediate outcomes). Data were collected from program documents and an Evaluation Survey of Participating Site team members (21 respondents), compared against the Lead Team's expectations of participation, and analyzed using descriptive statistics. All program inputs, outputs, and activities were available and delivered as expected across the five Participating Sites. The most frequently used activities and inputs were facilitation-associated meetings and meeting resources, which were rated as useful/helpful by the majority of respondents. Nearly all respondents noted improvement in short-term outcomes following participation: 82.4% reported increased awareness of clinical processes, 94.1% increased knowledge of QI methods, 100% reported increased perceived importance of QI, 94.1% increased perceived feasibility of QI, and 76.5% reported increased problem-solving skills and self-efficacy to use QI at their site. Intermediate outcomes (identifying barriers, developing interventions, improved teamwork, and capacity) were achieved following program participation as indicated by the results of the program document review and Evaluation Survey responses. Implementation challenges at Participating Sites included staffing constraints, difficulties obtaining buy-in and participation, and developing interventions over time. The multi-site improvement program was delivered and implemented with high levels of fidelity and resulted in improved short and intermediate outcomes. Future research will evaluate long-term, patient-level outcomes associated with site-specific QI interventions.
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Affiliation(s)
- Erica M Bednar
- Cancer Prevention and Control Platform, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.,Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Blake Harper
- Cancer Prevention and Control Platform, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.,Impact Evaluation Core, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Michael T Walsh
- Cancer Prevention and Control Platform, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.,Impact Evaluation Core, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ruth Rechis
- Cancer Prevention and Control Platform, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.,Impact Evaluation Core, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Michelle Bilbao
- Department of Gynecologic Oncology, MD Anderson Cancer Center at Cooper University Health Care, Camden, New Jersey, USA
| | - Rebecca L Carr
- Cancer Genetics Program, Banner MD Anderson Cancer Center, Gilbert, Arizona, USA
| | - Amanda L Eppolito
- Cancer Genetics Program, Piedmont Oncology at Piedmont Healthcare, Atlanta, Georgia, USA
| | - Timothy Goedde
- Cancer Genetics Program, Community Health Network, Indianapolis, Indiana, USA
| | - Brooke Levin
- William G. Rohrer Cancer Genetics Program, MD Anderson Cancer Center at Cooper University Health Care, Camden, New Jersey, USA
| | - Kristin Mattie
- William G. Rohrer Cancer Genetics Program, MD Anderson Cancer Center at Cooper University Health Care, Camden, New Jersey, USA
| | | | - Kellie Rath
- Department of Gynecologic Oncology, OhioHealth, Columbus, Ohio, USA
| | - Pauline Russ
- Genetic Counseling Program, OhioHealth, Columbus, Ohio, USA.,Department of Surgical Oncology, OhioHealth Cancer Care, Columbus, Ohio, USA
| | - Jennifer M Siettmann
- Cancer Genetics Program, Banner MD Anderson Cancer Center, Gilbert, Arizona, USA
| | - David Warshal
- Department of Gynecologic Oncology, MD Anderson Cancer Center at Cooper University Health Care, Camden, New Jersey, USA
| | - Emaline Wise
- Genetic Counseling Program, OhioHealth, Columbus, Ohio, USA
| | - Cara Yobbi
- Cancer Genetics Program, Community Health Network, Indianapolis, Indiana, USA
| | - Karen H Lu
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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4
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Bednar EM, Nitecki R, Krause KJ, Rauh-Hain JA. Interventions to improve delivery of cancer genetics services in the United States: A scoping review. Genet Med 2022; 24:1176-1186. [PMID: 35389342 DOI: 10.1016/j.gim.2022.03.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 12/17/2022] Open
Abstract
PURPOSE Interventions that decrease barriers and improve clinical processes can increase patient access to guideline-recommended cancer genetics services. We sought to identify and describe interventions to improve patient receipt of guideline-recommended cancer genetics services in the United States. METHODS We performed a comprehensive search in Ovid MEDLINE and Embase, Scopus, and Web of Science from January 1, 2000 to February 12, 2020. Eligible articles reported interventions to improve the identification, referral, genetic counseling (GC), and genetic testing (GT) of patients in the United States. We independently screened titles and abstracts and reviewed full-text articles. Data were synthesized by grouping articles by clinical process. RESULTS Of 44 included articles, 17 targeted identification of eligible patients, 14 targeted referral, 15 targeted GC, and 16 targeted GT. Patient identification interventions included universal tumor testing and screening of medical/family history. Referral interventions included medical record system adaptations, standardizing processes, and provider notifications. GC interventions included supplemental patient education, integrated GC within oncology clinics, appointment coordination, and alternative service delivery models. One article directly targeted the GT process by implementing provider-coordinated testing. CONCLUSION This scoping review identified and described interventions to improve US patients' access to and receipt of guideline-recommended cancer genetics services.
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Affiliation(s)
- Erica M Bednar
- Cancer Prevention and Control Platform, Moon Shots Program, The University of Texas MD Anderson Cancer Center, Houston, TX; Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX.
| | - Roni Nitecki
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kate J Krause
- Research Medical Library, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jose Alejandro Rauh-Hain
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
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5
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Morrow A, Chan P, Tucker KM, Taylor N. The design, implementation, and effectiveness of intervention strategies aimed at improving genetic referral practices: a systematic review of the literature. Genet Med 2021; 23:2239-2249. [PMID: 34426665 PMCID: PMC8629749 DOI: 10.1038/s41436-021-01272-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose Despite rapid advancements in genetics and genomics, referral practices remain suboptimal. This systematic review assesses the extent to which approaches from implementation science have been applied to address suboptimal genetic referral practices. Methods A search of MEDLINE, EMBASE, and PsycINFO generated 7,794 articles, of which 28 were included. Lay barriers were mapped to the Theoretical Domains Framework (TDF) and interventions mapped to behavior change techniques. Use of implementation and behavior change frameworks was assessed, and the Theory and Techniques Tool used to determine theoretical alignment. Results Knowledge was the most frequent retrospectively TDF-coded barrier, followed by environmental context and resources, and skills. Significant referral improvements occurred in 56% of studies. Among these, the most frequent interventions were clinical data review systems, family history collection and referral tools, and embedding genetics staff into nongenetic specialties. Few studies used implementation frameworks or reported implementation outcomes, though some deployed intuitive strategies that aligned with theory. Conclusion Genetic referral interventions are rarely informed by implementation and/or behavior change theories, limiting opportunities for learning across contexts. Retrospective coding has provided a suite of theoretically linked strategies, which may be useful for informing future efforts. Incorporating these strategies into clinical guidelines may facilitate operationalization within the system.
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Affiliation(s)
- April Morrow
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia. .,Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
| | - Priscilla Chan
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Katherine M Tucker
- Hereditary Cancer Clinic, Prince of Wales Hospital and Community Health Services, Randwick, NSW, Australia.,UNSW Prince of Wales Clinical School, Randwick, NSW, Australia
| | - Natalie Taylor
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.,Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
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6
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Lin J, Sharaf RN, Saganty R, Ahsan D, Feit J, Khoury A, Bergeron H, Chapman-Davis E, Cantillo E, Holcomb K, Blank SV, Liu Y, Thomas C, Christos PJ, Wright DN, Lipkin S, Offit K, Frey MK. Achieving universal genetic assessment for women with ovarian cancer: Are we there yet? A systematic review and meta-analysis. Gynecol Oncol 2021; 162:506-516. [PMID: 34023131 DOI: 10.1016/j.ygyno.2021.05.011] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/08/2021] [Indexed: 01/21/2023]
Abstract
PURPOSE Several professional organizations recommend universal genetic assessment for people with ovarian cancer as identifying pathogenic variants can affect treatment, prognosis, and all-cause mortality for patients and relatives. We sought to evaluate the literature on genetic assessment for women with ovarian cancer and determine if any interventions or patient characteristics drive utilization of services. METHODS We searched key electronic databases to identify trials that evaluated genetic assessment for people with ovarian cancer. Trials with the primary aim to evaluate utilization of genetic assessment with or without interventions were included. Eligible trials were subjected to meta-analysis and the moderating influence of health interventions on rates of genetic assessment were examined. RESULTS A total of 35 studies were included (19 report on utilization of genetic services without an intervention, 7 with an intervention, and 9 with both scenarios). Without an intervention, pooled estimates for referral to genetic counseling and completion of genetic testing were 39% [CI 27-53%] and 30% [CI 19-44%]. Clinician-facilitated interventions included: mainstreaming of genetic services (99% [CI 86-100%]), telemedicine (75% [CI 43-93%]), clinic-embedded genetic counselor (76% [CI 32-95%]), reflex tumor somatic genetic assessment (64% [CI 17-94%]), universal testing (57% [28-82%]), and referral forms (26% [CI 10-53%]). Random-effects pooled proportions demonstrated that Black vs. White race was associated with a lower rate of genetic testing (26%[CI 17-38%] vs. 40% [CI 25-57%]) as was being un-insured vs. insured (23% [CI 18-28%] vs. 38% [CI 26-53%]). CONCLUSIONS Reported rates of genetic testing for people with ovarian cancer remain well below the goal of universal testing. Interventions such as mainstreaming can improve testing uptake. Strategies aimed at improving utilization of genetic services should consider existing disparities in race and insurance status.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Stephanie V Blank
- Icahn School of Medicine at Mount Sinai, Blavatnik Family Women's Health Research Institute, USA
| | - Ying Liu
- Memorial Sloan Kettering Cancer Center, USA
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7
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O’Shea R, Taylor N, Crook A, Jacobs C, Jung Kang Y, Lewis S, Rankin NM. Health system interventions to integrate genetic testing in routine oncology services: A systematic review. PLoS One 2021; 16:e0250379. [PMID: 34010335 PMCID: PMC8133413 DOI: 10.1371/journal.pone.0250379] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 04/06/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Integration of genetic testing into routine oncology care could improve access to testing. This systematic review investigated interventions and the tailored implementation strategies aimed at increasing access to genetic counselling and testing and identifying hereditary cancer in oncology. METHODS The search strategy results were reported using the PRISMA statement and four electronic databases were searched. Eligible studies included routine genetic testing for breast and ovarian cancer or uptake after universal tumour screening for colorectal or endometrial cancer. The titles and abstracts were reviewed and the full text articles screened for eligibility. Data extraction was preformed using a designed template and study appraisal was assessed using an adapted Newcastle Ottawa Scale. Extracted data were mapped to Proctor's et al outcomes and the Consolidated Framework for Implementation Research and qualitatively synthesised. RESULTS Twenty-seven studies, published up to May 2020, met the inclusion criteria. Twenty-five studies ranged from poor (72%), fair to good (28%) quality. Most interventions identified were complex (multiple components) such as; patient or health professional education, interdisciplinary practice and a documentation or system change. Forty-eight percent of studies with complex interventions demonstrated on average a 35% increase in access to genetic counselling and a 15% increase in testing completion. Mapping of study outcomes showed that 70% and 32% of the studies aligned with either the service and client or the implementation level outcome and 96% to the process or inner setting domains of the Consolidated Framework for Implementation Research. CONCLUSION Existing evidence suggests that complex interventions have a potentially positive effect towards genetic counselling and testing completion rates in oncology services. Studies of sound methodological quality that explore a greater breadth of pre and post implementation outcomes and informed by theory are needed. Such research could inform future service delivery models for the integration of genetics into oncology services.
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Affiliation(s)
- Rosie O’Shea
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Discipline of Genetic Counselling, Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Natalie Taylor
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Ashley Crook
- Discipline of Genetic Counselling, Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Chris Jacobs
- Discipline of Genetic Counselling, Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Yoon Jung Kang
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Sarah Lewis
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Nicole M. Rankin
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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Mallen AR, Conley CC, Fuzzell L, Ketcher D, Augusto BM, McIntyre M, Barton LV, Townsend MK, Fridley BL, Tworoger SS, Wenham RM, Vadaparampil ST. "I think that a brief conversation from their provider can go a very long way": Patient and provider perspectives on barriers and facilitators of genetic testing after ovarian cancer. Support Care Cancer 2021; 29:2663-2677. [PMID: 32975643 PMCID: PMC7981241 DOI: 10.1007/s00520-020-05779-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 09/11/2020] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Identify predisposing, enabling, and reinforcing factors impacting genetic counseling/testing among ovarian cancer patients guided by Green and Kreuter's PRECEDE-PROCEED model. METHODS Gynecologic oncology providers (N = 4), genetic counselors (N = 4), and ovarian cancer patients (N = 9) completed semi-structured qualitative interviews exploring participants' knowledge of and experiences with genetic counseling/testing. Interviews were audio recorded, transcribed verbatim, and analyzed using inductive content analysis by two independent raters. RESULTS Thematic analysis identified predisposing, enabling, and reinforcing factors impacting referral for and uptake of genetic counseling/testing. Predisposing factors included participant's knowledge, beliefs, and attitudes related to genetic counseling/testing. Both patients and providers also cited that insurance coverage and out-of-pocket cost are major concerns for ovarian cancer patients considering genetic testing. Finally, both patients and providers emphasized that genetic counseling/testing would provide additional information to an ovarian cancer patient. While providers emphasized that genetic testing results were useful for informing a patient's personal treatment plan, patients emphasized that this knowledge would be beneficial for their family members. CONCLUSION Barriers to genetic testing for ovarian cancer patients exist at multiple levels, including the patient (e.g., knowledge, attitudes), the provider (e.g., workload, availability of services), the institution (e.g., difficulty with referrals/scheduling), and the healthcare system (e.g., insurance/cost). Interventions aiming to increase genetic testing among ovarian cancer patients will likely need to target multiple levels of influence. Future quantitative studies are needed to replicate these results. This line of work will inform specific multilevel intervention strategies that are adaptable to different practice settings, ultimately improving guideline concordant care.
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Affiliation(s)
- Adrianne R. Mallen
- Moffitt Cancer Center, Department of Gynecologic Oncology, Tampa, FL
- University of South Florida, Department of Obstetrics and Gynecology, Tampa, FL
| | - Claire C. Conley
- Moffitt Cancer Center, Department of Health Outcomes & Behavior, Tampa, FL
- Georgetown Lombardi Cancer Center, Department of Oncology, Washington, DC
| | - Lindsay Fuzzell
- Moffitt Cancer Center, Department of Health Outcomes & Behavior, Tampa, FL
| | - Dana Ketcher
- Moffitt Cancer Center, Department of Health Outcomes & Behavior, Tampa, FL
| | - Bianca M. Augusto
- Moffitt Cancer Center, Department of Health Outcomes & Behavior, Tampa, FL
| | - McKenzie McIntyre
- Moffitt Cancer Center, Department of Health Outcomes & Behavior, Tampa, FL
| | | | - Mary K. Townsend
- Moffitt Cancer Center, Department of Cancer Epidemiology, Tampa, FL
| | - Brooke L. Fridley
- Moffitt Cancer Center, Department of Biostatistics and Bioinformatics, Tampa, FL
| | | | - Robert M. Wenham
- Moffitt Cancer Center, Department of Gynecologic Oncology, Tampa, FL
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Warias A, Ferguson M, Chamberlain E, Currie L, Snow N, Matheson K, Penney LS, Kieser K. Universal access to genetic counseling for women with epithelial ovarian cancer in Nova Scotia: Evaluating a new collaborative care model. J Genet Couns 2021; 30:1491-1499. [PMID: 33876505 DOI: 10.1002/jgc4.1416] [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: 09/16/2019] [Revised: 02/21/2021] [Accepted: 02/24/2021] [Indexed: 11/08/2022]
Abstract
Women with pathogenic variants in BRCA1/2 have a significantly increased lifetime risk of breast and ovarian cancers. The availability of genetic testing to identify BRCA1/2 carriers is imperative to disease prevention and treatment. We evaluated the effectiveness of a new collaborative care model in Nova Scotia, involving the integration of genetic counselors into tumor board rounds, reduction in time allotted for initial genetic counseling appointments from 60 to 45 min, and a standardized dictation template, to increase referral rate for genetic counseling. We also assessed the study cohorts' preferences on timing for genetic testing. A retrospective chart review was performed on all women diagnosed with epithelial ovarian cancer (EOC) from 2012 to 2017 (N = 386). Pertinent clinical outcomes were categorized and wait times to different nodes of the clinical pathway assessed. A questionnaire was sent to this same cohort of women to identify preference for the timing of genetic testing (n = 103). The chi-square and Wilcoxon's rank-sum tests were used to compare demographic and clinical variables pre- and post-care model implementation. We identified a 48.2% (95% CI: 39.4-56.7, p < .001) increase in referral for genetic counseling following implementation of the new care model. Median time from diagnosis to referral decreased by 74.0 days (p < .001) and median time from referral to first appointment by 54.0 days (p < .001). 56.3% of women desired referral at the time of diagnosis. This care model for women newly diagnosed with EOC in Nova Scotia was successful in increasing referral rates for genetic counseling. Majority of women pursued genetic testing following and favored that referral for genetic counseling be made at the time of diagnosis, highlighting the importance for timely access.
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Affiliation(s)
- Ashley Warias
- Department of Obstetrics & Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Meghan Ferguson
- Medical Genetics, IWK Health Centre, Halifax, NS, Canada.,MyGeneTeam, Miami, FL, USA
| | | | - Lauren Currie
- Medical Genetics, IWK Health Centre, Halifax, NS, Canada.,MyGeneTeam, Miami, FL, USA
| | - Nicole Snow
- Medical Genetics, IWK Health Centre, Halifax, NS, Canada
| | - Kara Matheson
- Research Methods Unit, Nova Scotia Health Authority, Halifax, NS, Canada
| | - Lynette S Penney
- Department of Pediatrics, Dalhousie University, Halifax, NS, Canada
| | - Katharina Kieser
- Division of Gynaecologic Oncology, Dalhousie University, Halifax, NS, Canada
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10
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Dragojlovic N, Borle K, Kopac N, Ellis U, Birch P, Adam S, Friedman JM, Nisselle A, Elliott AM, Lynd LD. The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review. Genet Med 2020; 22:1437-1449. [PMID: 32576987 DOI: 10.1038/s41436-020-0825-2] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/24/2020] [Accepted: 04/26/2020] [Indexed: 01/25/2023] Open
Abstract
As genetics becomes increasingly integrated into all areas of health care and the use of complex genetic tests continues to grow, the clinical genetics workforce will likely face greatly increased demand for its services. To inform strategic planning by health-care systems to prepare to meet this future demand, we performed a scoping review of the genetics workforce in high-income countries, summarizing all available evidence on its composition and capacity published between 2010 and 2019. Five databases (MEDLINE, Embase, PAIS, CINAHL, and Web of Science) and gray literature sources were searched, resulting in 162 unique studies being included in the review. The evidence presented includes the composition and size of the workforce, the scope of practice for genetics and nongenetics specialists, the time required to perform genetics-related tasks, case loads of genetics providers, and opportunities to increase efficiency and capacity. Our results indicate that there is currently a shortage of genetics providers and that there is a lack of consensus about the appropriate boundaries between the scopes of practice for genetics and nongenetics providers. Moreover, the results point to strategies that may be used to increase productivity and efficiency, including alternative service delivery models, streamlining processes, and the automation of tasks.
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Affiliation(s)
- Nick Dragojlovic
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Kennedy Borle
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Nicola Kopac
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Ursula Ellis
- Woodward Library, University of British Columbia, Vancouver, BC, Canada
| | - Patricia Birch
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Shelin Adam
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Jan M Friedman
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Amy Nisselle
- Australian Genomics Health Alliance, Melbourne, VIC, Australia
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Alison M Elliott
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
- BC Women's Hospital Research Institute, Vancouver, BC, Canada
| | - Larry D Lynd
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
- Centre for Health Evaluation and Outcomes Sciences, Providence Health Research Institute, Vancouver, BC, Canada.
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11
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Vos JR, Fakkert IE, de Hullu JA, van Altena AM, Sie AS, Ouchene H, Willems RW, Nagtegaal ID, Jongmans MCJ, Mensenkamp AR, Woldringh GH, Bulten J, Leter EM, Kets CM, Simons M, Ligtenberg MJL, Hoogerbrugge N. Universal Tumor DNA BRCA1/2 Testing of Ovarian Cancer: Prescreening PARPi Treatment and Genetic Predisposition. J Natl Cancer Inst 2020; 112:161-169. [PMID: 31076742 PMCID: PMC7019087 DOI: 10.1093/jnci/djz080] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 03/20/2019] [Accepted: 04/29/2019] [Indexed: 12/23/2022] Open
Abstract
Background Women with epithelial ovarian cancer (OC) have a higher chance to benefit from poly (ADP-ribose) polymerase inhibitor (PARPi) therapy if their tumor has a somatic or hereditary BRCA1/2 pathogenic variant. Current guidelines advise BRCA1/2 genetic predisposition testing for all OC patients, though this does not detect somatic variants. We assessed the feasibility of a workflow for universal tumor DNA BRCA1/2 testing of all newly diagnosed OC patients as a prescreen for PARPi treatment and cancer predisposition testing. Methods Formalin-fixed paraffin-embedded tissue was obtained from OC patients in seven hospitals immediately after diagnosis or primary surgery. DNA was extracted, and universal tumor BRCA1/2 testing was then performed in a single site. Diagnostic yield, uptake, referral rates for genetic predisposition testing, and experiences of patients and gynecologists were evaluated. Results Tumor BRCA1/2 testing was performed for 315 (77.6%) of the 406 eligible OC samples, of which 305 (96.8%) were successful. In 51 of these patients, pathogenic variants were detected (16.7%). Most patients (88.2%) went on to have a genetic predisposition test. BRCA1/2 pathogenic variants were shown to be hereditary in 56.8% and somatic in 43.2% of patients. Participating gynecologists and patients were overwhelmingly positive about the workflow. Conclusions Universal tumor BRCA1/2 testing in all newly diagnosed OC patients is feasible, effective, and appreciated by patients and gynecologists. Because many variants cannot be detected in DNA from blood, testing tumor DNA as the first step can double the identification rate of patients who stand to benefit most from PARP inhibitors.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Edward M Leter
- Radboud University Medical Center, Nijmegen, the Netherlands. Department of Clinical Genetics (EML), Maastricht University Medical Center, Maastricht, the Netherlands
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12
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Frey MK, Lee SS, Gerber D, Schwartz ZP, Martineau J, Lutz K, Reese E, Dalton E, Olsen A, Girdler J, Pothuri B, Boyd L, Curtin JP, Levine DA, Blank SV. Facilitated referral pathway for genetic testing at the time of ovarian cancer diagnosis: uptake of genetic counseling and testing and impact on patient-reported stress, anxiety and depression. Gynecol Oncol 2020; 157:280-286. [PMID: 32057464 DOI: 10.1016/j.ygyno.2020.01.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/03/2019] [Accepted: 01/02/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Timely genetic testing at ovarian cancer diagnosis is essential as results impact front line treatment decisions. Our objective was to determine rates of genetic counseling and testing with an expedited genetics referral pathway wherein women with newly-diagnosed ovarian cancer are contacted by a genetics navigator to facilitate genetic counseling. METHODS Patients were referred for genetic counseling by their gynecologic oncologist, contacted by a genetics navigator and offered appointments for genetic counseling. Patients completed quality of life (QoL) surveys immediately pre- and post-genetic assessment and 6 months later. The primary outcome was feasibility of this pathway defined by presentation for genetic counseling. RESULTS From 2015 to 2018, 100 patients were enrolled. Seventy-eight had genetic counseling and 73 testing. Median time from diagnosis to genetic counseling was 34 days (range 10-189). Among patients who underwent testing, 12 (16%) had pathogenic germline mutations (BRCA1-7, BRCA2-4, MSH2-1). Sixty-five patients completed QoL assessments demonstrating stress and anxiety at time of testing, however, scores improved at 6 months. Despite the pathway leveling financial and logistical barriers, patients receiving care at a public hospital were less likely to present for genetic counseling compared to private hospital patients (56% versus 84%, P = 0.021). CONCLUSIONS Facilitated referral to genetic counselors at time of ovarian cancer diagnosis is effective, resulting in high uptake of genetic counseling and testing, and does not demonstrate a long term psychologic toll. Concern about causing additional emotional distress should not deter clinicians from early genetics referral as genetic testing can yield important prognostic and therapeutic information.
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Affiliation(s)
| | - Sarah S Lee
- New York University Langone Medical Center, United States of America
| | - Deanna Gerber
- New York University Langone Medical Center, United States of America
| | | | - Jessica Martineau
- New York University Langone Medical Center, United States of America
| | - Kathleen Lutz
- New York University Langone Medical Center, United States of America
| | - Erin Reese
- New York University Langone Medical Center, United States of America
| | | | - Annie Olsen
- New York University Langone Medical Center, United States of America
| | - Julia Girdler
- New York University Langone Medical Center, United States of America
| | - Bhavana Pothuri
- New York University Langone Medical Center, United States of America
| | - Leslie Boyd
- New York University Langone Medical Center, United States of America
| | - John P Curtin
- New York University Langone Medical Center, United States of America
| | - Douglas A Levine
- New York University Langone Medical Center, United States of America
| | - Stephanie V Blank
- Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, United States of America
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13
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Mallen AR, Conley CC, Townsend MK, Wells A, Boac BM, Todd S, Gandhi A, Kuznicki M, Augusto BM, McIntyre M, Fridley BL, Tworoger SS, Wenham RM, Vadaparampil ST. Patterns and predictors of genetic referral among ovarian cancer patients at a National Cancer Institute-Comprehensive Cancer Center. Clin Genet 2020; 97:370-375. [PMID: 31600840 PMCID: PMC7322721 DOI: 10.1111/cge.13654] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 08/26/2019] [Accepted: 09/18/2019] [Indexed: 12/23/2022]
Abstract
Germline mutations (eg, BRCA1/2) have prognostic and treatment implications for ovarian cancer (OVCA) patients. Thus, national guidelines recommend genetic testing for OVCA patients. The present study examines patterns and predictors of genetics referral in OVCA patients. Electronic medical record data were abstracted retrospectively from 557 OVCA patients treated from 1 January 2001 to 31 December 2015. Logistic regression models identified sociodemographic characteristics, disease/treatment characteristics, family history data, provider characteristics, and survival data that predicted genetics referral. Overall, 27.5% of patients received referral. Eleven variables predicting referral were selected during stepwise regression: younger age, White race, not having private insurance, professional school education, year of OVCA diagnosis, platinum sensitivity, female gynecologic oncologist, chemotherapy administered by a gynecologic oncologist, clinical trial enrollment, longer overall survival, and family history of OVCA. Genetics referral among OVCA patients was similar to rates reported nationwide. Unique predictive factors will contribute to quality improvement and should be validated at a multi-institutional level to ensure guideline concordant care is provided to all OVCA patients. Future research should identify both patient-level and provider-level factors associated with genetics referral.
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Affiliation(s)
- Adrianne R Mallen
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
- Department of Obstetrics and Gynecology, University of South Florida, Tampa, Florida
| | - Claire C Conley
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Ali Wells
- University of South Florida, Morsani School of Medicine, Tampa, Florida
| | - Bernadette M Boac
- Department of Pathology, University of South Florida & Moffitt Cancer Center, Tampa, Florida
| | - Sarah Todd
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
- Department of Obstetrics and Gynecology, University of South Florida, Tampa, Florida
| | - Anjalika Gandhi
- Department of Obstetrics and Gynecology, University of South Florida, Tampa, Florida
| | - Michelle Kuznicki
- Department of Obstetrics and Gynecology, University of South Florida, Tampa, Florida
| | - Bianca M Augusto
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - McKenzie McIntyre
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Brooke L Fridley
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Robert M Wenham
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Susan T Vadaparampil
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
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14
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Garcia C, Harrison K, Ring KL, Sullivan MW, Rauh LA, Modesitt SC. Genetic counseling referral for ovarian cancer patients: a call to action. Fam Cancer 2019; 18:303-309. [PMID: 30993488 DOI: 10.1007/s10689-019-00129-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
The hereditary contribution to ovarian cancer has been increasingly recognized over the past decade, with a 2014 Society of Gynecologic Oncology (SGO) recommendation for all women with epithelial ovarian cancer to be considered for genetic testing. The objective of the study was to determine if disparities exist in genetic referrals and characterize referral patterns over time. A retrospective cohort study included all women diagnosed with invasive epithelial ovarian cancer at the University of Virginia from 2004 to 2015. Clinicopathologic data were abstracted from the electronic medical record and analyzed for association with genetic referral and testing. We identified 696 cases, with a median age of 62 years and a median follow up of 25.2 months (range 1-115). Thirty-four percent were referred for genetic counseling with an 80% genetic testing rate in those women. Referrals increased from a rate of 8% in 2004 to 68% in 2015. On multivariable analysis, papillary serous histology (OR 1.6, 95% CI 1.0-2.6), stage III disease (OR 3.4, 95% CI 1.6-7.5), ovarian cancer family history (OR 2.6, 95% CI 1.5-4.6), breast cancer family history (OR 1.7, 95% CI 1.1-2.5), and diagnosis after 2014 (OR 2.3, 95% CI 1.3-4.1) remained significantly associated with genetics referral. Older age and living > 100 miles away were associated with decreased referral (OR 0.97, 95% CI 0.95-0.99 per year and OR 0.49, 95% CI 0.28-0.86). As only 68% of women with epithelial ovarian cancer were referred in 2015 innovative strategies such as Medicare coverage for counseling are still needed to universalize testing.
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Affiliation(s)
- Christine Garcia
- Thorton Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA, USA
| | - Kara Harrison
- University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Kari L Ring
- Thorton Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA, USA
| | - Mackenzie W Sullivan
- University of Virginia School of Medicine, Charlottesville, VA, USA. .,Division of Gynecologic Oncology, University of Virginia Health System, University of Virginia School of Medicine, 1240 Lee Street, Box 800712, Charlottesville, VA, 22908-0712, USA.
| | - Lisa A Rauh
- Thorton Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA, USA
| | - Susan C Modesitt
- Thorton Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA, USA
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15
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Hinchcliff EM, Bednar EM, Lu KH, Rauh-Hain JA. Disparities in gynecologic cancer genetics evaluation. Gynecol Oncol 2019; 153:184-191. [PMID: 30711300 PMCID: PMC6430691 DOI: 10.1016/j.ygyno.2019.01.024] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/22/2019] [Accepted: 01/25/2019] [Indexed: 01/14/2023]
Abstract
An estimated 2-5% of endometrial cancers and 15-20% of high-grade, non-mucinous epithelial ovarian cancers have an underlying hereditary cause. Appropriate risk assessment, genetic counseling, and germline genetic testing for cancer predisposition genes in both gynecologic cancer patients and their at-risk relatives is essential for effective delivery of tailored cancer treatment and cancer prevention. However, significant disparities exist within medically underserved and minority populations in the United States regarding awareness of, access to, and use of genetic services. The objectives of this review are to summarize the literature on genetic counseling and genetic testing of gynecologic cancer patients, the cascade genetic testing of their families following the identification of a germline mutation associated with susceptibility to cancer, to highlight disparities between populations, and to present some potential remedies.
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Affiliation(s)
- Emily M Hinchcliff
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Erica M Bednar
- The Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The Cancer Prevention and Control Platform, Moon Shots™ Program, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Karen H Lu
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - J Alejandro Rauh-Hain
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA; Department of Health Services Research, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
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16
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A pilot eConsultation service in Eastern Ontario: bridging clinical genetics and primary care. Eur J Hum Genet 2019; 27:1026-1032. [PMID: 30778171 DOI: 10.1038/s41431-019-0342-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 12/04/2018] [Accepted: 01/05/2019] [Indexed: 12/15/2022] Open
Abstract
With the rising demand for clinical genetics services, it is a challenge for clinical geneticists to meet the needs of patients and referring primary care providers in a timely way, using current models of genetics health care delivery. One method of providing primary care providers with greater access to clinical genetics expertise is through an electronic consultation (eConsult) service. We describe here a pilot project of a clinical genetics eConsult service that our genetics centre in Eastern Ontario, Canada provided, using the Champlain Building Access to Specialists through eConsultation (BASE)TM web-based application. We analyzed 111 genetics eConsults submitted by primary care providers to a single clinical geneticist over a 28-month time period. More than half (54%) of the eConsult questions were regarding (1) hereditary cancer and (2) genetic syndromes, with the remainder encompassing a wide variety of clinical genetics topics. We avoided a referral to the Genetics clinic for an in-person appointment for 30% of the eConsult cases, based on a contemplated referral rate to Genetics clinic of 72% prior to eConsult and a planned referral rate to Genetics clinic of 42% following all eConsults. Primary care providers rated the eConsult service of high value to themselves and also to their patients. This pilot service supports the potential of an eConsultation service to create a stronger and more dynamic link between clinical genetics and primary care providers, which may lead to better patient care.
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17
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Preferences of women with epithelial ovarian cancer for aspects of genetic testing. GYNECOLOGIC ONCOLOGY RESEARCH AND PRACTICE 2019; 6:1. [PMID: 30693090 PMCID: PMC6341581 DOI: 10.1186/s40661-019-0066-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 01/14/2019] [Indexed: 01/13/2023]
Abstract
Background Although genetic testing is recommended for women with epithelial ovarian cancer (EOC), little is known about patient preferences for various testing options. We measured relative preferences for attributes of testing in women with EOC referred for genetic counseling. Methods Subjects were recruited to participate in a discrete-choice-experiment survey to elicit preferences for attributes of genetic testing: out-of-pocket cost ($0, $100, $250, or $1000), probability of a deleterious mutation (60, 80%, or 88%), probability of a variant of uncertain significance (VUS) result (5, 20%, or 40%), sample requirements (blood or saliva), and turn-around time (1, 2 or 4 weeks). Subjects viewed educational videos followed by a series of choices between pairs of constructed genetic tests with varying attribute levels. Random-parameters logit was used to estimate preference weights for attribute levels. Relative importance weights and money-equivalent values were calculated. Results Ninety-four patients were enrolled; 68 (76.4%) presented for genetic counseling. Test cost was the most important attribute to subjects (importance weight = 41 out of 100) followed by probability to detect deleterious mutations (36) and probability of a VUS result (20). Sample requirements and turnaround time did not drive test choices. Subjects were willing to pay an additional $155 and $70 for incremental 5% improvements in the probability to detect deleterious mutations and probability of a VUS result. At genetics consultation, 55/68 (80.9%) subjects chose multigene testing. Conclusions Low out-of-pocket cost, high probability of detecting deleterious mutations and high probability of a VUS result are preferred by patients with EOC considering genetic testing. Electronic supplementary material The online version of this article (10.1186/s40661-019-0066-8) contains supplementary material, which is available to authorized users.
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