A health systems assessment of genetic counseling in cardiovascular care in a large health system: Adherence to genetics recommendations in the Military Health System

大型医疗系统中心血管疾病遗传咨询的卫生系统评估:军人医疗系统中遗传咨询建议的遵循情况

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Abstract

Genetic counseling and genetic testing are important tools for diagnosis, screening, and employment of effective medical management strategies for hereditary cardiovascular diseases. Despite widespread recognition of the benefits of genetic counseling and testing in cardiovascular care, little is published regarding their use in large healthcare systems. We conducted a retrospective cross-sectional study using administrative claims data in the US Military Health System to assess the state of recommended genomic counseling in clinical cardiovascular care. Logistic regression models were used to examine associations of genetic counseling among beneficiaries with hereditary cardiovascular conditions. Approximately 0.44% of beneficiaries in fiscal year 2018 had a diagnosis of a hereditary cardiovascular condition. Among the 23,364 patients with a diagnosis of hereditary cardiovascular disease, only 175 (0.75%) had documented genetic counseling and 196 (0.84%) had documented genetic testing. Genetic counseling did not differ by race, sex, service, or diagnosis. Age group, Active Duty status, rank as a proxy for socioeconomic status, and geographic location contributed significantly to the likelihood of receiving genetic counseling. These findings suggest that genetic counseling is underutilized in clinical cardiovascular care in the Military Health System and may be more broadly, despite expert consensus recommendations for its use and potential life-saving benefits. Unlike previous studies in the US civilian health sector, there did not appear to be disparities in genetic counseling by race or sex in the Military Health System. Strategies to improve care for cardiovascular disease should address the underutilization of recommended genetics evaluations for heritable diagnoses and the challenges of assessing use in large health systems studies.

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