Literature DB >> 32066870

Disparities in BRCA counseling across providers in a diverse population of young breast cancer survivors.

Sonya Reid1, Deborah Cragun2, Ann Tezak1, Anne Weidner1, Jaleesa Moore1, Ingrid A Mayer1, Xiao-Ou Shu1, Fei Ye1, Run Fan1, Susan Vadaparampil3, Tuya Pal4.   

Abstract

PURPOSE: All women diagnosed with breast cancer (BC) ≤age 50 should be referred for genetic counseling (GC) and testing. We sought to compare differences in provider practices and access across a racially and ethnically diverse population of young BC survivors.
METHODS: A registry-based sample of women diagnosed with invasive BC ≤age 50 from 2009 to 2012 was recruited through the Florida Cancer Registry, and completed a questionnaire and medical record release. Differences were compared across those tested with or without the involvement of a board-certified or credentialed genetics health professional (GHP) in (1) clinical and demographic variables and (2) pretest GC elements.
RESULTS: Of 1622 participants, there were 440 Blacks, 285 Hispanics, and 897 Non-Hispanic Whites. Of 831 participants with medical record verification of testing provider, 170 (20%) had documentation of GHP involvement. Among the 613 who recalled a pretest discussion and had GC elements collected, those with GHP involvement were significantly more likely to recall the seven recognized GC elements.
CONCLUSION: GHP involvement was associated with adherence to nationally recommended best practices. With the expanding importance of identifying inherited cancers, it is critical to ensure equitable access to best practices across all populations.

Entities:  

Keywords:  genetic counseling; genetic testing; genetics health professional; hereditary breast cancer

Mesh:

Year:  2020        PMID: 32066870      PMCID: PMC7275890          DOI: 10.1038/s41436-020-0762-0

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


Introduction

Breast cancer is the most common cancer among women worldwide, with 2 million new cases diagnosed in 2018.[1] Hereditary breast cancer (HBC) accounts for approximately 5–10% of all breast cancer cases, most commonly due to pathogenic/likely pathogenic (P/LP) variants in the BRCA1 and BRCA2 (BRCA) genes.[2] Female BRCA carriers have a 60–70% lifetime risk of developing breast cancer compared to 12% in the general population,[2] and up to a 50% or greater risk of developing a second primary breast cancer.[3-7] Evidence-based interventions such as risk-reducing surgery and breast cancer screening exist for cancer prevention and early diagnosis among BRCA carriers.[8-10] Moreover, in addition to the personal impact of identifying HBC, this information may be shared with at-risk family members to amplify the benefits of testing and subsequent care among those at high risk. National practice guidelines, developed and updated at least annually through the National Comprehensive Cancer Network (NCCN), recommend identification and referral for genetic counseling (GC) and consideration of testing of all women diagnosed with breast cancer at or below age 50.[11] These practice guidelines also set forth recommendations for content and elements that should be discussed during the pre-test GC session which may be directed by a board-certified or credentialed genetics health professional (GHP) or a health professional without formal certification in genetics (non-GHP). The NCCN guidelines are aligned with pre-test GC discussion elements set forth by the National Society of Genetic Counselors (NSGC) and the American Society of Clinical Oncology (ASCO).[11-13] The national shortage of GHPs[14] coupled with particularly limited access in rural areas,[15,16] certain states,[17] and community oncology practices,[18] has resulted in most testing in the United States being performed without the inclusion of a GHP.[19-21] Further challenges may include lack of referral to genetic counseling services, either in person or through telehealth, among providers with limited proficiency in genetics, as well as reimbursement challenges with the Center for Medicare and Medicaid (CMS) not currently recognizing genetic counselors as billing providers. Consequently, there is great variability in adherence to pre-test GC practices as defined by national practice guidelines. Adding to the logistical complexities of testing and in the face of GHP shortages, there are policies that mandate pre-test GC be conducted with involvement of a GHP which may disproportionately reduce testing rates among minority and underserved populations.[22,23] To our knowledge, no prior population-based efforts have evaluated delivery of hereditary cancer services based on patient-reported GC elements covered by the ordering provider across a diverse population of young breast cancer survivors. Through the proposed study, we sought to compare a population-based sample of young Black, Hispanic, and Non-Hispanic White (NHW) female breast cancer survivors for differences across those tested with or without GHP involvement in: 1) clinical and demographic variables and; 2) content of pre-test GC discussion.

Methods

Eligible patients were women diagnosed with invasive breast cancer ≤ age 50 between 2009–2012, living within Florida at the time of diagnosis, and alive at the time of recruitment. Information was obtained on all eligible participants from the Florida Cancer Registry (FCR) after obtaining approval from the Institutional Review Boards at the University of South Florida and the Florida Department of Health, as previously described.[24] Participants were recruited using previously described state-mandated recruitment methods,[25,26] which consisted of two separate mailings sent at least three weeks apart, which included a “telephone response card” to give potential participants the option to either express interest in participation with follow-up by a study team member or decline to participate (i.e., indicate they did not wish to be contacted by phone or future mailings).[27] If no response was received within three weeks of the second mailing, a member of the study team attempted to contact the potential participant by telephone to explain the study and determine interest in participation. For those willing to participate, informed consent was secured, and a baseline study questionnaire was requested. Age at diagnosis, racial/ethnic group, and primary insurance payer at diagnosis on all potential participants were obtained from the FCR. Participants were categorized through self-reported race/ethnicity into Black, Hispanic, and NHW groups. Additional information obtained through the baseline questionnaire included college education, income, insurance status, marital status, and family history of breast and ovarian cancer. The FCR provided the stage at diagnosis, histologic subtype, and tumor receptor status on all participants. Participants were asked to complete an authorization for release of medical records for verification of clinical information and genetic testing. Participants were further categorized into groups based on those who received GC and/or testing by a GHP. GHPs were defined as genetic counselors or medical geneticists and non-GHPs were defined as any other healthcare provider, which included physicians, physician assistants, nurse practitioners or nurses. Women who recalled having pre-test GC were then asked a multi-part question about whether they recalled seven pre-test GC elements recommended per national guidelines,[11-13] as listed in Table 2.
Table 2:

Patient recall of nationally-recommended genetic counseling elements by provider type

Element of Genetic Counseling DiscussionGenetics Health Professional N = 144Non-Genetics Health Professional N = 469p [a]
n%n%
Test results (positive, negative, inconclusive)12587%34774%0.001
Laws against health insurance discrimination6948%10823%<0.001
Issues related to life and disability insurance4632%6013%<0.001
Management recommendations7250%19141%0.04
Other hereditary cancers6545%13629%<0.001
Family implications12385%36578%0.04
Pedigree completed12486%22548%<0.001
Summary letter received8962%12226%<0.001

Two-sided Chi-square test was used to calculate the p-values

Clinical and demographic variables for all eligible participants were summarized by involvement of GHP using descriptive statistics. Using multiple logistic regression, we assessed if the following variables were associated with GHP involvement: 1) socioeconomic status (i.e., income, college education, and private insurance); 2) racial/ethnic group (Black, Hispanic, and NHW); and 3) clinical factors (i.e., age at diagnosis and family history of breast or ovarian cancer). Women tested through a GHP were compared using Pearson chi-squared tests to those tested through a non-GHP based on: 1) recall of pre-test discussion; and 2) seven pre-test GC elements controlling the familywise type 1 error using an alpha of 0.05 and Holm step-down procedure. We also used a two-tailed, independent samples T-test to evaluate if there was a statistically significant difference in the sum of elements recalled between the GHP and non-GHP groups.

Results

There were a total of 1622 participants, including 440 Blacks, 285 Hispanics, and 897 NHW (Figure 1). Of these, four participants were excluded as GC and/or testing information was missing. Of the remaining 1618 study participants, 831 had genetic testing and provider information verified. GHP involvement (either through consultation and/or test ordering) was reported in 170 women (20%) whereas the remaining 661 women (80%) had no documentation of GHP involvement.
Figure 1:

Recruitment from the Florida Cancer Registry

Of the participants that had genetic testing, there was no significant differences in GHP involvement based on participant age at diagnosis, family history of breast or ovarian cancer, college education and annual household income ≥ $50,000. Compared to NHW, Blacks and Hispanics had similar rates of GHP involvement. Based on the results of the multiple logistic regression model, private insurance was the only variable inversely associated with GHP involvement (OR = 0.60, 95% CI: 0.39–0.93, p=0.02) (Table 1).
Table 1:

Results of multiple logistic regression showing associations with Genetics Health Professional Involvement

CharacteristicsGenetics Health Professional N=170Non-Genetics Health Professional N=661OR95% CIp
n%n%
Non-Hispanic White [a]10461%42965%
Black2917%11517%1.050.64–1.700.85
Hispanic3722%11718%1.220.80–1.850.36
Age at diagnosis < 4510864%41763%0.990.70–1.400.97
Family History of Breast Cancer10864%39059%1.230.87–1.730.24
Family History of Ovarian Cancer2716%9314%1.140.70–1.830.60
Private Insurance12372%53180%0.600.39–0.930.02
College Education9556%41162%0.860.61–1.220.40
Annual household income ≥ $50,00013378%56686%0.880.60–1.280.49

Non-Hispanic White is the reference group

Among tested participants with GHP involvement, 84.7% recalled having a pre-test discussion compared to 71.3% without GHP involvement (p<0.001). Among the subset of 613 participants who recalled a pre-test discussion and had GC elements collected, those with GHP involvement were more likely to recall specific GC elements and these differences were statistically significant for all elements analyzed, including the seven endorsed by ASCO (Table 2). In addition, the mean number of items recalled when a GHP was involved was 4.80 compared to 3.06 when a GHP was not involved. The mean difference between the GHP and non-GHP groups was statistically significant (1.74 [95% CI: 1.38 – 2.09]).

Discussion

To our knowledge, this is amongst the first population-based studies to evaluate the impact of GHP involvement in the delivery and quality of pre-test hereditary cancer GC and testing services across a racially and ethnically diverse population of young breast cancer survivors. Our results indicate that 20% of young breast cancer survivors are tested through a GHP. Furthermore, women with private insurance were less likely to receive care through a GHP after controlling for other clinical and socioeconomic variables. Finally, GHPs were more likely to conduct pre-test GC and cover more pre-test GC discussion elements based on national practice guidelines, compared to other providers without certification in genetics. In our study, only 20% of women had genetic testing services provided by a GHP. Although survey data on patients tested for HBC by ordering provider is limited, a prior study surveyed 666 patients with early-stage breast cancer on the type of healthcare provider that ordered the genetic test (surgeon, medical oncologist, primary care provider, genetic counselor, or other).[28] Similar to our findings, approximately 21% of patients who received genetic testing reported that a genetic counselor ordered their genetic test.[28] Demand and indications for testing have continued to rise and outpace the supply of GHPs.[14,17,18] Consequently, it has become critical to develop strategies to promote best practices for delivering GC and testing services, improve proficiency in genetics, and promote partnerships to improve overall gene-based care provided to patients among non-GHPs to address several unmet needs.[29] Our study is the first to evaluate the impact of socioeconomic and clinical factors on GHP involvement in a patient’s care. Prior studies to evaluate the impact of sociodemographic factors (e.g. race, age, education and insurance status) on the receipt of GC suggest that Black women are less likely to receive GC than White women.[30-32] It is well established that insured populations with higher SES-related indicators are over-represented among populations who utilize GC and testing for hereditary cancer through a GHP.[27,33] Furthermore, prior studies have reported that women with higher SES indicators are more likely to receive care through a GHP compared to women with public or no insurance.[33,34] Yet women with private insurance in our study, were more likely to receive care without the involvement of a GHP. This is surprising given hereditary cancer GC and testing through a GHP is a covered service among most private insurers, with some insurers making this a requirement in order for testing to be covered.[35] It is possible that some providers refer patients to a GHP in instances where coverage may be a challenge, given that GHPs may be more familiar with coverage options for some of these patients, particularly among underinsured or uninsured populations. In our racially, ethnically, and socioeconomically diverse population, our findings suggest that GHPs (compared to non-GHPs) were more likely to conduct pre-test GC (86.5% versus 75.7%; p<0.001) and cover more pre-test GC discussion elements based on national practice guidelines (4.80 versus 3.06, (1.74 [95% CI: 1.38 – 2.09])). These findings are consistent with our prior study comparing pre-test discussion of standard pre-test GC elements among a primarily NHW sample of insured patients who received BRCA testing across diverse providers and settings.[24] Results from this prior study indicated that GHP involvement was associated with conduct of pre-test GC, as well as with higher adherence to discussion of specific nationally-recommended pre-test GC elements. Pre-test GC through a GHP has also been associated with increased recall about the implications of testing and the laws in place to prohibit insurance companies from denying coverage on the basis of the genetic test result.[36] Consequently, with expansion of gene-based care for those at risk for inherited cancer, these gaps highlight the need to standardize the delivery of pre-test GC to improve care across diverse populations and healthcare settings. The current study has several strengths including being the first registry-based study to systematically compare associations between socioeconomic and clinical factors and access to GHP among an ethnically and racially diverse sample of young breast cancer survivors treated across multiple healthcare settings, enhancing the generalizability of our findings. Furthermore, our estimates of provider discussion and genetic testing across diverse populations provides updated and novel data, compared to prior efforts with more limited minority representation[32,36,37] or older cohorts.[31,38] Despite these strengths, there remain some limitations, including that although participants were diagnosed within the same four years and eligibility criteria were the same, the Blacks and non-Blacks were recruited under separate protocols, which could contribute to recall bias across populations. However, systemic verification of all available medical records was conducted to confirm self-reported baseline questionnaire data and minimize the impact of recall bias. It is also possible that our definition of a GHP, limited to healthcare providers board-certified in genetics, may have led to underestimating the magnitude of the differences between those healthcare providers without expertise or additional training in genetics. This is because there are many other healthcare providers without board certification in genetics who have robust expertise in this content area. With the tremendous advances in genetic testing for use across the cancer prevention and control continuum, including importance in guiding personalized treatments,[39] we expect the demand for testing to continue to rise rapidly. These factors highlight the need to develop strategies that promote robust partnerships across GHPs and non-GHPs while also supporting educational efforts to improve overall proficiency in genetics across the entire healthcare workforce. This is absolutely essential to improve the provision of guideline-adherent GC services for hereditary cancer predisposition across populations, and broadly promote identification of high-risk populations and GC, as recently highlighted by the United States Preventive Services Task Force (USPTSF).[40] Given that most hereditary cancer GC and testing is provided by those without formal certification or training in genetics, promoting strategies for them to partner with GHPs to assist them in providing guideline-adherent service is critical.[29] Standardizing the quality of genetic services provided to all racial and ethnic groups is paramount with the expanding importance of gene-based care. In summary, this is the first population-based study across a racially and ethnically diverse population to demonstrate that GHPs were more likely to discuss GC elements, as recommended per national practice guidelines, which have potential legal, psychosocial and cultural implications. Our findings also suggest that women with private insurance were less likely to be tested through a GHP which is considered the gold standard and is a covered service by most private insurers. Taken together, the key differences among those in whom testing was conducted with and without the involvement of a GHP can be used to identify important implementation strategies to enhance guideline-adherent care when conducting genetic testing for HBC across diverse populations and settings.
  4 in total

1.  Provider discussion of genetic counseling among high-risk Spanish-preferring Latina breast cancer survivors.

Authors:  Claire C Conley; Jessica N Rivera Rivera; Eida M Castro-Figueroa; Laura Moreno; Julie Dutil; Jennifer D García; Charité Ricker; Gwendolyn P Quinn; Hatem Soliman; Susan T Vadaparampil
Journal:  Transl Behav Med       Date:  2022-10-07       Impact factor: 3.626

Review 2.  Health equity in the implementation of genomics and precision medicine: A public health imperative.

Authors:  Muin J Khoury; Scott Bowen; W David Dotson; Emily Drzymalla; Ridgely F Green; Robert Goldstein; Katherine Kolor; Leandris C Liburd; Laurence S Sperling; Rebecca Bunnell
Journal:  Genet Med       Date:  2022-04-28       Impact factor: 8.864

Review 3.  The role of genomics in global cancer prevention.

Authors:  Ophira Ginsburg; Paul Brennan; Patricia Ashton-Prolla; Anna Cantor; Daniela Mariosa
Journal:  Nat Rev Clin Oncol       Date:  2020-09-24       Impact factor: 66.675

Review 4.  An overview of genetic services delivery for hereditary breast cancer.

Authors:  Sonya Reid; Lucy B Spalluto; Katie Lang; Anne Weidner; Tuya Pal
Journal:  Breast Cancer Res Treat       Date:  2022-01-26       Impact factor: 4.624

  4 in total

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