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Importance: In March 2018, Medicare issued a national coverage determination (NCD) for next-generation sequencing (NGS) to facilitate access to NGS testing among Medicare beneficiaries. It is unknown whether the NCD affected health equity issues for Medicare beneficiaries and the overall population., Objective: To examine the association between the Medicare NCD and NGS use by insurance types and race and ethnicity., Design, Setting, and Participants: A retrospective cohort analysis was conducted using electronic health record data derived from a real-world database. Data originated from approximately 280 cancer clinics (approximately 800 sites of care) in the US. Patients with advanced non-small cell lung cancer (aNSCLC), metastatic colorectal cancer (mCRC), metastatic breast cancer (mBC), or advanced melanoma diagnosed from January 1, 2011, through March 31, 2020, were included., Exposure: Pre- vs post-NCD period., Main Outcomes and Measures: Patients were classified by insurance type and race and ethnicity to examine patterns in NGS testing less than or equal to 60 days after diagnosis. Difference-in-differences models examined changes in average NGS testing in the pre- and post-NCD periods by race and ethnicity, and interrupted time-series analysis examined whether trends over time varied by insurance type and race and ethnicity., Results: Among 92 687 patients with aNSCLC, mCRC, mBC, or advanced melanoma, mean (SD) age was 66.6 (11.2) years, 51 582 (55.7%) were women, and 63 864 (68.9%) were Medicare beneficiaries. The largest racial and ethnic categories according to the database used and further classification were Black or African American (8605 [9.3%]) and non-Hispanic White (59 806 [64.5%]). Compared with Medicare beneficiaries, changes in pre- to post-NCD NGS testing trends were similar in commercially insured patients (odds ratio [OR], 1.03; 95% CI, 0.98-1.08; P = .25). Pre- to post-NCD NGS testing trends increased at a slower rate among patients in assistance programs (OR, 0.93; 95% CI, 0.87-0.99; P = .03) compared with Medicare beneficiaries. The rate of increase for patients receiving Medicaid was not statistically significantly different compared with those receiving Medicare (OR, 0.92; 95% CI, 0.84-1.01; P = .07). The NCD was not associated with statistically significant changes in NGS use trends by racial and ethnic groups within Medicare beneficiaries alone or across all insurance types. Compared with non-Hispanic White individuals, increases in average NGS use from the pre-NCD to post-NCD period were 14% lower (OR, 0.86; 95% CI, 0.74-0.99; P = .04) among African American and 23% lower (OR, 0.77; 95% CI, 0.62-0.96; P = .02) among Hispanic/Latino individuals; increases among Asian individuals and those with other races and ethnicities were similar., Conclusions and Relevance: The findings of this study suggest that expansion of Medicare-covered benefits may not occur equally across insurance types, thereby further widening or maintaining disparities in NGS testing. Additional efforts beyond coverage policies are needed to ensure equitable access to the benefits of precision medicine.

Background: A controversial and unresolved question in reproductive medicine is the utility of preimplantation genetic testing for aneuploidy as an adjunct to in vitro fertilization. Infertility is prevalent, but its treatment is notoriously expensive and typically not covered by insurance. Therefore, cost-effectiveness is critical to consider in this context., Objective: This study aimed to analyze the cost-effectiveness of preimplantation genetic testing for aneuploidy for the treatment of infertility in the United States., Study Design: As reported to the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System, a national data registry, in vitro fertilization cycles occurring between 2014 and 2016 in the United States were analyzed. A probabilistic decision tree was developed using empirical outputs to simulate the events and outcomes associated with in vitro fertilization with and without preimplantation genetic testing for aneuploidy. The treatment strategies were (1) in vitro fertilization with intended preimplantation genetic testing for aneuploidy and (2) in vitro fertilization with transfers of untested embryos. Patients progressed through the treatment model until they achieved a live birth or 12 months after ovarian stimulation. Clinical costs related to both treatment strategies were extracted from the literature and considered from both the patient and payer perspectives. Outcome metrics included incremental cost (measured in 2018 US dollars), live birth outcomes, incremental cost-effectiveness ratio, and incremental cost per live birth between treatment strategies., Results: The study population included 114,157 first fresh in vitro fertilization stimulations and 44,508 linked frozen embryo transfer cycles. Of the fresh stimulations, 16.2% intended preimplantation genetic testing for aneuploidy and 83.8% did not. In patients younger than 35 years old, preimplantation genetic testing for aneuploidy was associated with worse clinical outcomes and higher costs. At age 35 years and older, preimplantation genetic testing for aneuploidy led to more cumulative births but was associated with higher costs from both perspectives. From a patient perspective, the incremental cost per live birth favored the no preimplantation genetic testing for aneuploidy strategy from the <35 years age group to the 38 years age group and beginning at age 39 years favored preimplantation genetic testing for aneuploidy. From a payer perspective, the incremental cost per live birth favored preimplantation genetic testing for aneuploidy regardless of patient age., Conclusion: The cost-effectiveness of preimplantation genetic testing for aneuploidy is dependent on patient age and perspective. From an economic perspective, routine preimplantation genetic testing for aneuploidy should not be universally adopted; however, it may be cost-effective in certain scenarios., (Copyright © 2021 Elsevier Inc. All rights reserved.)