BRCA1/2 Testing in Massachusetts Among Women With Private Insurance or Medicaid, 2011-2015

Genetic Testing in the Latinx community: Impact of acculturation and provider relationships

OBJECTIVES

The current study aimed to explore attitudes toward genetic germline testing and intentions to test in Latinas from Southern California. We hypothesized that patients' acculturation and education levels, as well as comfort with health care providers, are positively associated with attitudes and intentions toward genetic testing.

METHODS

A survey was offered concurrently to Latinx female patients at a gynecologic oncology practice and to unaffiliated Latinx community members. The survey assessed demographics, structural, psychosocial, and acculturation factors and genetic testing attitudes and intentions via validated scales.

RESULTS

Of 148 surveys collected, 66% of responders had low levels of acculturation. 50% of women had government-subsidized insurance; 22% had no schooling in the US. 67% of participants did not carry a diagnosis of cancer. Women with higher acculturation levels were more likely to consider genetic testing (r_s = 0.54, p = .001). Higher acculturated women and less acculturated women under 50 were more likely to consider testing if it had been recommended by a female, trusted, or Hispanic/Latinx provider (r_s = 0.22, p = .01, r_s = 0.27, p = .003 and r_s = 0.19, p = .003, respectively) or if there was a recent cancer diagnosis (self or family, r_s = 0.19, p = .03). Overall, education correlated with intention to test. The more education outside of the US, the less negative was the attitude toward being tested (r_s = -0.41, p = .002).

CONCLUSIONS

Direct experiences with cancer, more schooling and higher acculturation coupled with provider characteristics determined if Latinas were more open to testing. Provider characteristics mattered: having a female, Latinx, Spanish speaking provider was important for genetic testing decision-making. These findings are particularly pertinent in areas with high Latinx populations.

Medicaid Expansions: Probing Medicaid's Filling of the Cancer Genetic Testing and Screening Space

Cancer is the third largest source of spending for Medicaid in the United States. A working group of the American Public Health Association Genomics Forum Policy Committee reviewed 133/149 pieces of literature addressing the impact of Medicaid expansion on cancer screening and genetic testing in underserved groups and the general population. Breast and colorectal cancer screening rates improved during very early Medicaid expansion but displayed mixed improvement thereafter. Breast cancer screening rates have remained steady for Latina Medicaid enrollees; colorectal cancer screening rates have improved for African Americans. Urban areas have benefited more than rural. State programs increasingly cover BRCA1/2 and Lynch syndrome genetic testing, though testing remains underutilized in racial and ethnic groups. While increased federal matching could incentivize more states to engage in Medicaid expansion, steps need to be taken to ensure that they have an adequate distribution of resources to increase screening and testing utilization.

Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013-2018

BACKGROUND

Early identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT.

METHODS

We used data from the Arkansas All-Payer Claims Database from January 2013 through June 2018 (commercial, Medicaid), December 2017 (state employee), or December 2016 (Medicare) and identified enrollees with ≥1 month of enrollment. Using Current Procedural Terminology (CPT-4) codes, rates for GT were calculated per 100,000 person-quarters and time series regressions estimated. Second, GT and covariate information for enrollees with 24 months of continuous enrollment were used to estimate separate logistic regression models for each GT category.

RESULTS

Among 2,520,575 unique enrollees, HBOC testing rates were 2.2 (Medicaid), 22.0 (commercial), 40.4 (state employee), and 13.1(Medicare) per 100,000 person-quarters and increased linearly across all plans. Older age (OR=1.24; 95%CI 1.20 - 1.28), female sex (OR=18.91; 95%CI 13.01 - 28.86), higher comorbidity burden (OR=1.08; 95%CI 1.05 - 1.12), mental disorders (OR=1.53; 95%CI 1.15 - 2.00), and state employee coverage (OR=1.65; 95%CI 1.37 - 1.97) were positively associated with HBOC testing. Less than 1 of 10,000 enrollees received Lynch syndrome testing, while < 5 of 10,000 received HBOC testing.

CONCLUSION

GT rates for hereditary cancer syndromes have increased in Arkansas but remain low. Receipt of GT was explained with high discrimination by sex and plan type.

IMPACT

Expansion of GT for hereditary cancer risk in Arkansas is needed to identify high-risk individuals who could benefit from risk-reduction strategies.

Analyzing Precision Medicine Utilization with Real-World Data: A Scoping Review

Precision medicine (PM), specifically genetic-based testing, is currently used in over 140,000 individual tests to inform the clinical management of disease. Though several databases (e.g., the NIH Genetic Testing Registry) demonstrate the availability of these sequencing-based tests, we do not currently understand the extent to which these tests are used. There exists a need to synthesize the body of real-world data (RWD) describing the use of sequencing-based tests to inform their appropriate use. To accomplish this, we performed a scoping review to examine what RWD sources have been used in studies of PM utilization between January 2015 and August 2021 to characterize the use of genome sequencing (GS), exome sequencing (ES), tumor sequencing (TS), next-generation sequencing-based panels (NGS), gene expression profiling (GEP), and pharmacogenomics (PGx) panels. We abstracted variables describing the use of these types of tests and performed a descriptive statistical analysis. We identified 440 articles in our search and included 72 articles in our study. Publications based on registry databases were the most common, followed by studies based on private insurer administrative claims. Slightly more than one-third (38%) used integrated datasets. Two thirds (67%) of the studies focused on the use of tests for oncological clinical applications. We summarize the RWD sources used in peer-reviewed literature on the use of PM. Our findings will help improve future study design by encouraging the use of centralized databases and registries to track the implementation and use of PM.