Abstract
Purpose
National efforts have prioritized the identification of effective methods for increasing
case ascertainment and delivery of evidence-based health care for individuals at elevated
risk for hereditary cancers.
Methods
This study examined the uptake of genetic counseling and testing following the use
of a digital cancer genetic risk assessment program implemented at 27 health care
sites in 10 states using 1 of 4 clinical workflows: (1) traditional referral, (2)
point-of-care scheduling, (3) point-of-care counseling/telegenetics, and (4) point-of-care
testing.
Results
In 2019, 102,542 patients were screened and 33,113 (32%) were identified as at high
risk and meeting National Comprehensive Cancer Network genetic testing criteria for
hereditary breast and ovarian cancer, Lynch syndrome, or both. Among those identified
at high risk, 5147 (16%) proceeded with genetic testing. Genetic counseling uptake
was 11% among the sites with workflows that included seeing a genetic counselor before
testing, with 88% of patients proceeding with genetic testing after counseling. Uptake
of genetic testing across sites varied significantly by clinical workflow (6% referral,
10% point-of-care scheduling, 14% point-of-care counseling/telegenetics, and 35% point-of-care
testing, P < .0001).
Conclusion
Study findings highlight the potential heterogeneity of effectiveness attributable
to different care delivery approaches for implementing digital hereditary cancer risk
screening programs.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
ACMG Member Login
Are you an ACMG Member? Sign in for online access.Subscribe:
Subscribe to Genetics in MedicineAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Tier 1 genomics applications and their importance to public health. Centers for Disease Control and Prevention.https://www.cdc.gov/genomics/implementation/toolkit/tier1.htmDate accessed: January 16, 2020
- Prioritizing genomic applications for action by level of evidence: a horizon-scanning method.Clin Pharmacol Ther. 2014; 95: 394-402https://doi.org/10.1038/clpt.2013.226
- National estimates of genetic testing in women with a history of breast or ovarian cancer.J Clin Oncol. 2017; 35 (Published correction appears in J Clin Oncol. 2018;36(4):432. https://doi.org/10.1200/JCO.2017.73.6314): 3800-3806
- Closing Gaps in Cancer Screening: Connecting People, Communities, and Systems to Improve Equity and Access. A Report from the President s Cancer Panel to the President of the United States. President s Cancer Panel, Bethesda, MD2022
- Cancer Moonshot. Blue Ribbon Panel report 2016. National Cancer Institute.
- Population screening to identify women at risk for hereditary breast cancer syndromes: the path forward or the road not taken?.Cancer. 2022; 128: 30-33https://doi.org/10.1002/cncr.33867
- Clinical utility of a Web-enabled risk-assessment and clinical decision support program.Genet Med. 2016; 18: 1020-1028https://doi.org/10.1038/gim.2015.210
- Implementation of INHERET, an online family history and cancer risk interpretation program for primary care and specialty clinics.J Natl Compr Canc Netw. 2022; 20: 63-70https://doi.org/10.6004/jnccn.2021.7072
- Evaluation of a breast/ovarian cancer genetics referral screening tool in a mammography population.Genet Med. 2009; 11: 783-789https://doi.org/10.1097/GIM.0b013e3181b9b04a
- Hereditary cancer risk using a genetic chatbot before routine care visits.Obstet Gynecol. 2021; 138: 860-870https://doi.org/10.1097/AOG.0000000000004596
- Using chatbots to screen for heritable cancer syndromes in patients undergoing routine colonoscopy.J Med Genet. 2021; 58: 807-814https://doi.org/10.1136/jmedgenet-2020-107294
- Using a chatbot to assess hereditary cancer risk.JCO Clin Cancer Inform. 2020; 4: 787-793https://doi.org/10.1200/CCI.20.00014
- Increasing referral of at-risk women for genetic counseling and BRCA testing using a screening tool in a community breast imaging center.Cancer. 2022; 128: 94-102https://doi.org/10.1002/cncr.33866
- Impact of implementing B-RSTTM to screen for hereditary breast and ovarian cancer on risk perception and genetic counseling uptake among women in an academic safety net hospital.Clin Breast Cancer. 2019; 19: e547-e555https://doi.org/10.1016/j.clbc.2019.02.014
- A feasibility study of breast cancer genetic risk assessment in a federally qualified health center.Cancer. 2018; 124: 3733-3741https://doi.org/10.1002/cncr.31635
- Hereditary cancer risk assessment and genetic testing in the community-practice setting.Obstet Gynecol. 2018; 132: 1121-1129https://doi.org/10.1097/AOG.0000000000002916
- Modeling clustered data with very few clusters.Multivariate Behav Res. 2016; 51: 495-518https://doi.org/10.1080/00273171.2016.1167008
- Uptake and acceptability of a mainstreaming model of hereditary cancer multigene panel testing among patients with ovarian, pancreatic, and prostate cancer.Genet Med. 2021; 23: 2105-2113https://doi.org/10.1038/s41436-021-01262-2
- Mainstreaming genetics and genomics: a systematic review of the barriers and facilitators for nurses and physicians in secondary and tertiary care.Genet Med. 2020; 22: 1149-1155https://doi.org/10.1038/s41436-020-0785-6
- Mainstreaming genetic testing for epithelial ovarian cancer by oncology providers: a survey of current practice.JCO Precis Oncol. 2022; 6e2100409https://doi.org/10.1200/PO.21.00409
- Utility of a mainstreamed genetic testing pathway in breast and ovarian cancer patients during the COVID-19 pandemic.Eur J Med Genet. 2020; 63104098https://doi.org/10.1016/j.ejmg.2020.104098
- Evaluation of a mainstream genetic testing program for women with ovarian or breast cancer.Asia Pac J Clin Oncol. 2022; 18: e414-e419https://doi.org/10.1111/ajco.13741
- Mainstream consent programs for genetic counseling in cancer patients: a systematic review.Asia Pac J Clin Oncol. 2021; 17: 163-177https://doi.org/10.1111/ajco.13334
- Implementing family health history risk stratification in primary care: impact of guideline criteria on populations and resource demand.Am J Med Genet C Semin Med Genet. 2014; 166C: 24-33https://doi.org/10.1002/ajmg.c.31388
- Use of a patient-entered family health history tool with decision support in primary care: impact of identification of increased risk patients on genetic counseling attendance.J Genet Couns. 2015; 24: 179-188https://doi.org/10.1007/s10897-014-9753-0
- Why is cancer genetic counseling underutilized by women identified as at risk for hereditary breast cancer? Patient perceptions of barriers following a referral letter.J Genet Couns. 2017; 26: 697-715https://doi.org/10.1007/s10897-016-0040-0
- Increasing confidence and changing behaviors in primary care providers engaged in genetic counselling.BMC Med Educ. 2017; 17: 163https://doi.org/10.1186/s12909-017-0982-4
- A systematic review of interventions to provide genetics education for primary care.BMC Fam Pract. 2016; 17: 89https://doi.org/10.1186/s12875-016-0483-2
- Genetic counseling and testing in African American patients with breast cancer: a nationwide survey of US breast oncologists.J Clin Oncol. 2021; 39: 4020-4028https://doi.org/10.1200/JCO.21.01426
- Delivering genetic testing for patients with prostate cancer: moving beyond provider knowledge as a barrier to care.Cancer Control. 2022; (in press)
- A comparison of patient-reported outcomes following consent for genetic testing using an oncologist- or genetic counselor-mediated model of care.Curr Oncol. 2021; 28: 1459-1471https://doi.org/10.3390/curroncol28020138
- Health system interventions to integrate genetic testing in routine oncology services: a systematic review.PloS One. 2021; 16e0250379https://doi.org/10.1371/journal.pone.0250379
- Neighborhood characteristics as determinants of healthcare utilization – a theoretical model.Health Econ Rev. 2019; 9https://doi.org/10.1186/s13561-019-0226-x
- Design of a study to implement population-based risk assessment for hereditary cancer genetic testing in primary care.Contemp Clin Trials. 2021; 101106257https://doi.org/10.1016/j.cct.2020.106257
Article info
Publication history
Published online: February 10, 2023
Accepted:
January 26,
2023
Received in revised form:
January 24,
2023
Received:
October 3,
2022
Identification
Copyright
© 2023 American College of Medical Genetics and Genomics. Published by Elsevier Inc. All rights reserved.